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Normal Computing | Incredible OpportunitiesThe Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission:We’re hiring an AI Researcher / AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool, nectar. You’ll design and run experiments, build agents, curate datasets from complex technical documents (e.g., chip specifications), and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Leadership not required—impact through research and building is.Responsibilities:Design and implement multi‑agent and RL approaches for agentic code generation and tool‑use.Build research prototypes that integrate with nectar; collaborate to productionize wins.Create evaluation suites: task specs, pass/fail checkers, coverage, cost/latency dashboards.Acquire and curate datasets from PDFs/logs/tables; generate synthetic data where appropriate; maintain data cards and licensing.Analyze experiments with disciplined ablations; document results and decisions.Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis.What Makes You A Great Fit:PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code.Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus).Demonstrated ability to turn research into working systems; reproducibility mindset (tests, seeds, configs, logging).Experience designing eval harnesses and success metrics for sequential/agentic tasks.Comfortable with data acquisition/curation from documents/logs; good instincts about data quality and licenses.Bonus Points For:Research on program synthesis/codegen, constrained decoding, or execution‑based rewards.Experience with offline RL from tool traces or human corrections.Open‑source contributions (e.g., CleanRL, RLlib, AutoGen, LangGraph, CrewAI, Transformers).Familiarity with semiconductor/chip domains or other complex technical specs.Track record of shipping research to production and measuring impact.Equal Employment Opportunity StatementNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.Accessibility AccommodationsNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accomodations@normalcomputing.ai.Privacy NoticeBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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About Fractional AIFractional AI builds bespoke software to help organizations solve complex, high-impact problems.Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).By joining Fractional AI, you’re stepping onto a San Francisco, NYC, NC, and Dubai-based team working on AI projects for top companies from the comfort of an engineering-first startup.Fractional AI is launching a new enterprise division, which is physically headquartered in the Triangle of North Carolina. The enterprise division is initially focused on healthcare and life sciences (an area where our leadership team has deep experience), with plans to expand into other industries as we grow. This unique opportunity allows you to be a part of the founding team to help build the division from scratch, but with the stability and resources of an established and profitable startup.About the RoleJoining Fractional AI as a Forward-Deployed Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.“Forward-deployed” means we combine software engineering with customer-facing problem solving, owning delivery from early scoping through deployment and iteration. You’ll spend most of your time coding, but close enough to customers to shape the right solution end-to-end.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages.You are excited about AI. Many strong candidates will be building AI systems for the first time in a production context, so curiosity and learning speed matter more to us than prior buzzword exposure.You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before.You thrive in high-ownership environments: you take initiative, function well with limited structure, and enjoy shaping how work is done. Whether you come from prior start-up experience or a mature organization, you have owned internal systems, shipped production software, and/or made the transition from data/ML work into scalable engineering.You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs.You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth.What you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability.Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support.Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working.Our tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases, so we choose tools based on their needs rather than fixed preferences. A lot, but definitely not all, of our work is in Python, Typescript, Vercel, and Terraform.After working at Fractional AI for a few years, you’ll become fluent in the modern applied AI stack (e.g., LangGraph, DSPy, VLLM), from foundation model APIs to evaluation tools (e.g., Braintrust, Pydantic, InspectAI), as well as retrieval and deployment frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different.You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continue jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.We move quickly, but sustainably, and believe strong execution comes from good judgment, not burnout.Who you'll work withYou’ll report to Rebecca, who leads our Enterprise engineering team, and will also collaborate closely with Kyle, who leads Enterprise sales and business development.You’ll work very closely with other engineers on the Enterprise team -- most project teams consist of 2-5 engineers and a Forward-Deployed Product Manager. We also love collaborating and knowledge-sharing with our counterparts in the SF, NYC, and Dubai offices (we’re all on the same Slack, which makes that easy even across time zones).You’ll also spend time partnering with Eddie, our Co-Founder and CTO, our CEO, Chris, and Chairman, Travis.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our NC office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationRaleigh-Durham-Chapel Hill Area, NCWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.About The RoleAs a Forward Deployed Engineer, you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact.This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California. What You’ll DoEmbed directly with customers to understand their workflows, constraints, and success criteriaDesign, build, and deploy AI-driven solutions tailored to real operational problemsBuild and maintain production systems including APIs, integrations, monitoring, and feedback loopsTranslate business requirements and customer needs into technical architectures and implementationsOperate in high-stakes environments where reliability, speed, and judgment matterIdentify patterns across customer deployments and feed insights back into core product and platform developmentPartner closely with Product and Engineering to influence roadmap, abstractions, and long-term system designOwn deployments end-to-end, from initial scoping through launch and iterationWhat We’re Looking For3+ years of software engineering experience, ideally with backend or systems-focused workStrong proficiency in Python (TypeScript / JavaScript experience is a plus)Experience working with cloud infrastructure (AWS, GCP, or Azure)Ability to translate ambiguous requirements into working, production-ready systemsStrong communication skills and comfort working with both technical and non-technical stakeholdersHigh ownership mindset with the ability to operate independently in fast-changing environmentsExperience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.Position Overview Xaira is seeking enthusiastic and motivated candidates to join our team as Research Engineers. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.  The role is based in our London office, located near Old Street. Our team is highly collaborative, operating on the belief that hard problems are best solved by multiple people working towards a clear goal, bringing and sharing their expertise with the team. We operate a hybrid working culture based on trust. Members of the team are typically in the office 3 days a week. Key Responsibilities Industry experience as a research engineer, in an AI-related company. Excited to work, learn and teach within a collaborative team working on challenging problems. Desirable Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary. Masters (or equivalent)/PhD in AI-related field. Public codebases or contribution to public GitHub repositories. Experience building and training neural networks. Experience in distributed training and inference. Experience profiling and optimising large-scale AI models. Knowledge or experience in BioAI. If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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About usParallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.We've raised $130 million from Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.Job: As a Software Engineering Intern at Parallel, you’ll work on how AI agents retrieve and understand information from the open web. You’ll help train and scale embedding and ranking models that sit behind our APIs, where model quality, latency, and freshness all matter.You: You’re curious how modern ML models behave at scale and like arguing about where search, retrieval, and transformers converge. You care less about toy problems and more about seeing your work show up in real systems used by other engineers and AI products.Life at ParallelOur team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:Own customer impact: It’s on us to ensure real-world outcomes for our customers.Obsess over craft: Perfect every detail because quality compounds.Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.Create win-wins: Creatively turn trade-offs into upside.Make high-conviction bets: Try and fail. But succeed an unfair amount.Compensation & benefitsCompetitive salaryGenerous equityVisa sponsorships401K plansDaily lunch & office snacksDinner at the officeUnlimited vacationCaltrain pass reimbursement

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenueAbout the RoleAs a Research Scientist, Human–AI Interaction, you will play a pivotal role in defining how AI systems support real human work by leading research at the intersection of Human–Computer Interaction (HCI), Large Language Models (LLMs), and task-level benchmarking.You will operate at the frontier of human-centered AI evaluation, with a focus on understanding what people actually do to accomplish meaningful work—and how AI systems change, accelerate, or reshape that activity. Your research will define jobs-to-be-done benchmarks, comparative evaluation frameworks, and empirical methods for measuring human effort, time, quality, and outcomes when working with AI copilots. Additionally, the Handshake AI platform is an interface used by thousands of the top subject matter experts in the world to evaluate AI systems, and offers numerous interesting HCI / HITL-AI research questions that will drive large business impact.You’ll set research direction, establish standards for measuring human activity in AI-mediated workflows, publish papers and open-source code, and lead the development of rigorous, scalable benchmarks that connect human work, AI assistance, and real economic value.You will:Lead high-impact research on jobs-to-be-done benchmarks for AI systems, including:Defining task taxonomies grounded in real professional and economic activitiesIdentifying what constitutes meaningful task completion, quality, and successTranslating qualitative work understanding into measurable, repeatable benchmarksDevelop methods to measure human activity in AI-mediated workflowsDesign benchmarks to assess AI-as-a-collaborator/copilot, rather than autonomous agents / basic Q&ADesign and run empirical studies of how people use AI to solve tasks, including:Controlled experiments and field studies measuring task performanceInstrumentation for capturing fine-grained interaction traces and outcomesDrive strategy for professional-domain AI benchmarks, focusing on:Understanding domain-specific workflows (e.g., analysis, writing, planning, coordination)Grounding benchmark design in how work is actually performed, not idealized tasksBuild and prototype AI systems and evaluation infrastructure to support research and Data production, including:LLM-powered copilots and experimental tools used for task-level measurementBenchmark harnesses that evaluate both model behavior and human outcomesData pipelines for analyzing human–AI interaction at scaleThe human-in-the-loop experience for Handshake fellows to produce effective evaluations and training data for frontier models, through structured UI/UX interactions with these models.Collaborate closely with User Experience Research (UXR) to:Leverage deep qualitative insights into real user behavior and workflowsTranslate ethnographic and observational findings into formal research constructs(This role is distinct from UXR and focuses on measurement, modeling, and evaluation.)Publish and present research that advances the field of human-centered AI benchmarking, with an expectation of regular contributions to top-tier venues such as CHI (Conference on Human Factors in Computing Systems), and related HCI and AI conferences.Desired CapabilitiesPhD or equivalent experience in Human–Computer Interaction, Computer Science, Cognitive Science, or a related field, with a strong emphasis on empirical evaluation of interactive AI/LLM systems.3+ years of academic or industry research experience post-PhD, including leadership on complex research initiatives and analyzing data from a real AI product.Strong publication record, with demonstrated impact in top-tier HCI venues — CHI experience required.Deep expertise in experimental design and measurement, particularly for:Task performance and human activityComparative evaluation frameworksMixed-methods research grounded in real-world behaviorStrong technical and coding skills, including:Python and data analysis / ML toolingExperience building experimental systems and benchmark infrastructureFamiliarity working with LLM APIs, agent frameworks, or AI-assisted toolingProven ability to define and lead research agendas that connect human work, AI capability, and business or economic impact.Strong collaboration skills, especially working across research, engineering, product, and UXR teams.Extra CreditExperience developing benchmarks or evaluation frameworks for human–AI systems or AI-assisted productivity tools.Prior work on copilot-style systems, agentic workflows, or automation of professional tasks.Familiarity with workplace studies, CSCW, or socio-technical systems research.Contributions to open-source tools, datasets, or benchmarks related to task-level evaluation.Interest in how AI reshapes labor, productivity, and the future of work.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good.From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time.About the roleAs a Delivery Manager within our AI Safety team, you’ll own the end-to-end success of high-impact AI projects for our clients focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space. You will be the crucial link between our customers and our dedicated data scientists to translate cutting edge AI safety research into actionable changes as well as model red teaming and safeguard testing with labs like OpenAI and Anthropic into strategic, impactful solutions. What you'll be doing:Owning the end-to-end delivery of customer projects, from initial scoping to final implementationCollaborating with technical teams, and customers, to design innovative AI solutions that solve their challenges and leverage opportunitiesManaging project development and ensuring a delivery approach that provides maximum value to the customerForming strong, trusting relationships with customers, internal safety data scientists, and technical partners, including frontier labs.Developing and executing compelling proposals to grow our AI safety and governance work across a wide range of sectors.Advising clients on AI safety strategy and technical implementation, acting as a trusted partner and consultant.Developing and mentoring your peers’ taking a proactive role in building good processes and practicesWho we're looking for:You bring a passion for Applied AI safety, possibly from your experience within labs, academia, or evaluation/red teaming roles.You have previous experience in professional services, ideally from a consulting, technology, or data backgroundYou take full responsibility for the successful delivery of your projects, from initial scoping to end-user adoptionYou are an exceptional communicator, with outstanding written and verbal skills, and experience managing senior stakeholdersYou are comfortable working with technical teams and have experience delivering technical projects, ideally in AIYou are a practical problem-solver, identifying potential issues and proactively implementing solutionsThe Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Deployment Strategist / Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will primarily work with our customers in the financial services and insurance industries. You will gain hands-on experience coding in multiple languages (primarily Python, occasionally R, SQL, PySpark, JavaScript, etc.) and applying the latest big data technologies to real-world business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics, such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the manufacturing industry. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About the TeamThe GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the RoleWe’re looking for product mindset software engineers to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software.In this role, you will:Build high-impact applications and tools that accelerate OpenAI’s go-to-market effortsWork across the full product lifecycle for GTM: prototype, iterate, ship, and maintainEmbed with Sales, Technical Success, and Revenue Operations to identify user needs and build for themApply OpenAI’s models in novel ways to solve real-world customer and internal workflow problemsTranslate learnings into feedback for Applied and Research teams to inform product developmentYou’ll thrive in this role if you:Have 4+ years of experience as a software/ML/product engineer working on user-facing systemsFormer founder, or early engineer at a startup who built a product from scratch is a plusAre fluent in Python or JavaScript and comfortable building full-stack applicationsHave built or prototyped LLM-powered workflows using the OpenAI API (or similar)Take initiative, move quickly, and operate with a strong sense of ownershipEnjoy working closely with end users and shaping 0→1 productsAre collaborative, curious, and motivated to make an outsized impact at the frontier of AIAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth—and the expectation that it will only accelerate—transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI.About the RoleWe’re seeking a Support Data Scientist who will dig deep into user‑support data—surfacing trends, volumes, and friction signals—and turn these findings into actionable insights and always‑on reporting. You’ll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand—delivering decision‑grade insights, not just prettier slide decks.This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Explore large support and product datasets to uncover trends, volume drivers, and user‑experience pain points, distilling findings into clear, actionable narratives.Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions.Establish a unified metrics taxonomy for service‑health and performance—and build automated data‑sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real‑time view of successLeverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes—powering smarter routing, richer self‑serve insights, and swifter root‑cause analysis.Partner with Data Engineering to ensure reliable pipelines, implement data‑quality checks, and document sources of truth.Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership.Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations.You might thrive in this role if you:8 + years in analytics, business intelligence, or data science (experience with customer support or operations teams is a plus).Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automationHands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self‑serve usability.Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems.Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences.Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs.Strong cross‑functional communication skills—comfortable collaborating daily with engineers, data scientists, and operations leaders.An eye for detail, a zero‑defect mindset, and a bias toward action over theoretical perfectionPossess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow.Thrive in a fast‑moving, ambiguous environment where priorities can shift quickly.#LI-NM2About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Enterprise Platform Technology team builds and operates the platforms and integrations that run the company’s core business workflows across Finance, People, Procurement, Legal, and GTM. We deliver secure, scalable system connectivity and AI-native experiences that reduce manual work, strengthen controls, and improve operational reliability across the enterprise stack.About the RoleAs an MCP Engineer / Enterprise Architect (Agentic Integrations & Enterprise Platforms), you will design and build Model Context Protocol (MCP) servers and integration primitives while shaping the technical architecture for enterprise platforms and AI-enabled workflows. This is an individual contributor role with architectural leadership: you will set standards and reference patterns, lead design reviews, and ship production-grade connectors and guardrails.You will work hands-on across enterprise systems like Oracle, Workday, Salesforce, Anaplan and Jira, and our own internal systems, ensuring integrations are secure, observable, and built to scale.We’re looking for people who can turn messy real-world requirements into clean interfaces, think deeply about identity and data boundaries, and balance speed with durability.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.Describe the role’s responsibilitiesIn this role, you will:Build and operate MCP servers/connectors that securely connect LLM-powered workflows to enterprise systems (Oracle, Workday, Salesforce, Anaplan, etc.), including authentication/authorization, auditing, and safe data access patterns.Define architecture standards and reusable integration primitives: API/tool schemas, permissioning models, policy enforcement, rate limiting, caching, and guardrails that prevent accidental data exposure and ensure least-privilege access.Drive production readiness and reliability: observability (metrics/logs/traces), idempotency/retry patterns, incident-ready runbooks, and pragmatic non-prod→prod rollout paths with measurable risk controls and adoption metrics.Adopt OpenAI technologies (Codex) to co-create MCPs with platforms, working with our internal Enterprise Platform team to create MCP actions.Assist with other development efforts as needed.You might thrive in this role if you:10+ years of experience in enterprise systems architecture, business systems engineering, or IT strategyDeep understanding of SaaS application ecosystems (Salesforce, Oracle Fusion, Workday, Ashby, NetSuite, etc) and their APIs/integration frameworksHave built production integrations or platform services and you naturally think about security, failure modes, and operational ownership.Are strong in API/interface design and modern identity patterns (OAuth/OIDC, service-to-service auth), and can clearly explain tradeoffs across usability, performance, and controls.Can lead technically without managing a team: you drive alignment through crisp architecture decisions, high-quality reviews, and shipping reference implementations that other engineers adopt.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Applications EngineerLocation : PuneWorking model : on-siteHackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Position SummaryHackerOne is seeking a Senior Applications Engineer to join our Enterprise Data & AI team to be a technical leader driving the design and implementation of AI-First Systems that power how Hackeronies collaborate, communicate, and scale. You’ll own complex, cross-functional initiatives that blend enterprise architecture, automation, and AI to streamline operations, reduce toil, and unlock human potential.You’ll achieve success by leading with AI-first thinking, demonstrating agility through change, applying first-principles problem solving, and using data to learn and adapt along the way. Leveraging your technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward. Enterprise Data & AI MissionEnterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and systems infrastructure includes autonomous AI agents handling routine or repeatable work and centralized AI and data infrastructure for cross-org leverage.What You Will DoLead the end-to-end design and delivery of scalable, secure, and intelligent enterprise systems that support HackerOne’s transformation into an AI-first organization.Develop, configure, and maintain Salesforce Sales Cloud, Workday, or other Enterprise, GTM, and Security applications to drive business efficiency and scalability.Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization.Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience.Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability.Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly.Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement.Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved.Minimum Qualifications8+ years of experience in an Engineering, Science, Systems, or similar role w/ proven track record of leading the design, development, and deployment of AI-First Enterprise Systems.Extensive hands-on experience designing, building, configuring, integrating, and maintaining AI-first enterprise systems, including Salesforce, Workday, Google Workspace, Slack, Atlassian, Zoom, Ironclad, Luminance, Box, Monday, Jira, JSM, JPD, GitHub, GitLab, Freshservice, Freshdesk, GCP, AWS, and more.Experience working with SSO protocols (e.g., SAML, OIDC, SCIM), enterprise identity tools (e.g., Okta), and MDM platforms (e.g., Kandji) in a fast-paced environment.Experience developing integrations and automations using tools like Workato and Tines.Experience with Salesforce Sales Cloud, Service Cloud, Salesloft, and data enrichment platforms (e.g., Clearbit, ZoomInfo, etc.).Passion for working backwards from the Customer and empathy for business stakeholders.Proven track record of having substantial impact across the company, demonstrating your ability to drive positive change, and achieve significant results.Thrive on solving ambiguous problem statements in an early-stage environment.Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.Preferred QualificationsExperience with Mac and Windows operating systems.Experience working with Agile and iterative development processes.Understanding of network architecture.Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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Our MissionJoin us in shaping the future of paid search intelligence.Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition.Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012. In 2025, Adthena continued its winning streak, earning 8 major search industry awards. Highlights include Best AI Search Software Solution at the US Search Awards, Best Search Software Tool at the European Search Awards, and Best Software Innovation at the Global Search Awards.Ready to make an impact in an industry-leading company? Let’s do it together.Why Join Us?We offer the best of both worlds: the maturity and stability of a well-established company combined with the energy, agility, and impact of a scaling tech organisation.If you’ve been hesitant about joining a typical tech company due to concerns about chaos, fragility, or volatility, Adthena is your answer.We’re smaller than large-scale enterprises, offering more autonomy, less red tape, and accelerated growth.Here’s what we offer:Startup Engineering cultureStrong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27.Award-Winning Product: Best AI Search Software Solution, Global Search Award 2024"Stock Options: Our employees do incredible work, so as we grow, everyone shares the rewards.Trust-Based Vacation: Take as much time off as you need, when you need it.Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney).Flexible Work: Work how and where you do your best, with full autonomy over your day.Career Growth: Bespoke training and career development via "Sherpa plans” to guide your growth.Monthly Hackdays & Training DaysPrivate Medical Insurance: Fully covered health care.Mental Health Support: Employee Assistance Program offering 24/7 confidential counselling, with access to ‘healthier living’ services such as ‘HeadSpace’.Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave.Pension: Competitive UK pension scheme, available from day one.Home Office Stipend: $200 for your ideal remote setup.Swag Welcome Gift: $70 credit to grab some merch.Birthday Day Off: Celebrate your special day.Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info.Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info.About the RoleReporting to: Paul Felby, Chief Tech & Product OfficerTeams: Data Engineering (Scala/Spark), Data Science, Business Intelligence, Web (React), QA, DevOpsLocation: Remote, United Kingdom Start Date: ASAPMore info: See FAQ below, our candidate hub, or reach out to recruitment@adthena.comWhat you’ll do at AdthenaThis role offers the opportunity to lead engineering at a company operating at the intersection of large-scale data, machine learning, and the rapid evolution of search. Adthena works with some of the world’s largest brands to provide competitive intelligence across traditional search platforms and the emerging generation of LLM-driven search experiences, including Google, ChatGPT, Perplexity, and Gemini.As Head of Engineering, you will be responsible for the technical execution behind a platform that processes vast volumes of search data, runs complex distributed computations, and delivers enterprise-grade insights used daily by global marketing teams. The challenge is not greenfield experimentation, but building, scaling, and evolving systems that already matter and extending them into entirely new areas.You will step into an organisation where AI is already part of how software gets built. We were early adopters and are now a leading company in this space. Engineering teams use AI day-to-day to write, review, and evolve code. This role carries ownership of taking those practices further, setting standards, shaping ways of working, and helping define what effective AI-assisted development looks like at scale.A significant part of the opportunity lies in shaping how Adthena expands competitive intelligence beyond Google into LLM-driven search platforms. This involves leading the development of new systems that help enterprises understand visibility, competition, and opportunity in search experiences that are rapidly becoming mainstream.GenAI is embedded throughout the product and platform, from analysing complex datasets, to backend verification and labelling workflows, to generating insights and dashboards for clients. As Head of Engineering, you will play a key role in guiding how these capabilities are designed, operationalised, and scaled to deliver consistent, reliable value.As Adthena continues to grow, this role is central to strengthening the engineering organisation, accelerating delivery, and ensuring the technical foundations support sustained innovation, high quality, and long-term scale.ResponsibilitiesTechnical Leadership & ArchitectureOwn the engineering roadmap execution for all products and platform capabilities.Join architectural discussion regarding direction for distributed data processing, ML pipelines, and web application architecture.Ensure scalable, reliable systems that can handle massive datasets and evolving ML workloads.Champion engineering best practices (testing, observability, CI/CD, incident response, documentation).Delivery & ExecutionEstablish predictable delivery processes across all teams, improving speed without sacrificing stability.Implement measurable engineering KPIs such as cycle time, deployment frequency, MTTR, and platform SLAs.Drive continuous improvement in release quality through QA automation and DevOps collaboration.Leadership & People ManagementLead and mentor direct reports; create a culture of ownership, accountability, and high performance.Build an engineering organisation that scales. hiring, role definitions, and career paths.Foster a healthy, collaborative environment that supports deep technical work and cross-team alignment.Cross-Functional CollaborationPartner with Product to prioritise work, refine requirements, and ensure successful product delivery.Work closely with Data Science/ML teams to bring research into production-grade systems.Collaborate with DevOps/SRE on infrastructure strategy, cost optimisation, and operational reliability.Strategic ContributionContribute to the company-wide technology strategy alongside the CTO.Identify opportunities to accelerate innovation through tooling, platform investments, or architectural change.Manage engineering budgets, tooling spend, cloud infrastructure cost, and vendor relationships.Who we look forResearch shows men apply if they meet ~60% of the criteria, while women and underrepresented groups apply only if they meet all requirements. If you have the skills but don't meet every requirement, reach out – we'd love to explore how you could be a great fit!Required Experience:Technical ExperienceProven leadership of multi-team engineering organisations (20+ engineers).Strong background in distributed systems, high-scale data pipelines, and ML model deployment.Deep understanding of modern data stacks. e.g, Spark, data bricks, and cloud-native architectures.Previous experience working with Data Science teams and understanding how machine learning models are delivered.Strong grasp of TypeScript/React or at least modern front-end engineering environments.Solid experience with DevOps practices: CI/CD pipelines, containerisation, orchestration, monitoring, and cloud infrastructure (AWS preferred).Leadership & ManagementExperience running engineering organisations with multiple disciplines (backend, web, data, ML, QA, DevOps).Demonstrated ability to build high-performing teams and coach strong engineering managers.Excellent judgment around trade-offs between delivery speed, tech debt, stability, and innovation.Comfortable in a fast-paced SaaS environment with enterprise customers and high expectations for product reliability.Soft SkillsOutstanding communication: clear, concise, and effective with technical and non-technical stakeholders.Highly organised with strong planning and prioritisation ability.Bias for action with a pragmatic, problem-solving mindset.Values transparency, collaboration, and developer happiness.Nice to Have:Experience with search engines, advertising technology, or competitive intelligence products.Familiarity with ML lifecycle tooling (feature stores, model deployment platforms, pipeline orchestration).Experience with agentic codingOur Core ValuesAll Adthenians are expected to align closely with our ‘Core Values’. What it means...Get Shit Done: We're big on taking action, owning our challenges, and finding solutions.Freedom with Responsibility: We take charge of results to recognition. We know that our hustle not only moves the needle for the company but also sets us up for personal success.Deliver Remarkable Quality: We care about exceeding expectations in the work we do and aim to always do our best work as individuals and as a team.Smart & Always Improving: We strive daily to expand our knowledge and become better at what we do.Meet your teammatesYou’ll work closely with: Paul Felby Title: Chief Product & Tech Officer LinkedIn: https://www.linkedin.com/in/paul-felby-1a475a18a/