Find AI Work That Works for You

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Who we are:  AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. AI Fund is a venture studio founded by Dr. Andrew Ng in 2017. Our portfolio companies use  AI technology to build  applications across numerous industry sectors. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, venture capitalists, investors, and operators. We are backed by a $370 million dollar fund from top-tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward. What we seek:  We are looking for an energetic Product Builder to join our build team to build AI Startups.  As founders and investors ourselves we are looking to add top new talent to our company building team.  We welcome candidates who possess a growth mindset, strong analytical skills and ability to handle ambiguity. You will be responsible for driving projects forward until either they are falsified (and ended) or smoothly transitioned to a newly found company.  What you will do: Carry out ideation and early product validation: You will be responsible for working with our partners to quickly validate or falsify specific ideas. This may involve generating candidate business concepts, prototyping, and customer interview workBuild a business case: For ideas that seem promising, you will be responsible for building a case for the business, including such elements as a TAM/SAM/SOM analysis, initial business model and initial GTM strategy, and compiling a pitch deck-like document that communicates the main thesis of the business, minimum viable product, initial go-to-market, and long-term visionAssist with bringing on FIRs (Founders in Residence): You will play an instrumental role in explaining the business idea to potential founders, helping them understand the potential of the business, and working to bring on a strong FIR to carry the business forward through a three month company Build StageSupport FIR, Venture Advisor, and AI Fund Partner through initial phases of the project: AI Fund and the FIR will meet regularly during the Build Stage. You will be  carrying out both product and program management roles during this period. As program manager, you will stay on top of all of the communication internally and externally with the FIR, as well as communicate schedules and track milestones. You will report out to the Venture Advisor and Partner key update, as well as ensure fast escalation should any problems arise. As product manager, you will assist with customer discovery calls, identify customer needs, work to explore and achieve product-market fit, research competitors and substitutes, coordinate internal and external resources, build financial models, work on the pitch deck and anything upon request by the FIR, Venture Advisor or Partner Support the AI Fund’s investment decision at the conclusion of the Build Stage: You will be helping to build a case for whether or not the AI Fund should investContinue to follow and support the new portfolio company: As it grows its team, builds its product, closes its initial customers, and faces down challenges en route to closing its first external round of financing What you must bring: Able to work well with senior executives in a way that makes efficient use of their timeExcellent quantitative and analytical skills normally found with STEM degrees or equivalent background where you have practiced and honed such skill setsPrevious 0 to 1 software startup experienceAt least one of (i) Previous experience working in venture capital assessing business plans and working with start-ups and entrepreneurs, or (ii) technical startup experience in a product or building capacityStrong due diligence skills including market research, competitive market mapping, trend analysis, TAM/SAM/SOM analysis, go-to-market strategy formulation, and pro-forma financial construction and analysisCan write software code with AI assistance Proactive self-starter with a strong work ethic and ownership mentalityExcellent organizational skills to keep projects moving forward to meet predetermined milestonesGrowth and technical startup mindset. This may include willingness to try and fail but try again, biased to action, capable of handling ambiguity, scrappy, flexible and comfortable being outside of one’s comfort zone, able to learn from and incorporate feedback to enhance one’s analytical and interpersonal skillsMust have a curious mindset and keep up to date with latest trends in AI Excellent interpersonal and communication skillsStrong writing and presentation skillsStrong Gen AI and ML knowledge  Nice to haves: Previous experience working in a venture studio or venture formation group within acorporationPrevious 0 to 1 software startup experience 

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Cloud Engineering - Software Engineer Location: Remote (EU/Middle East/North Africa/North America/South America) Experience Level: 2+ years Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. The Opportunity As a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform: Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights. Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity. Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments. Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers. You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery. You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack. Who You Are & What You Bring You have 2+ years of hands-on software development experience. You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.). You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code. You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up. You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped. You care about developer experience and building the tooling that makes others faster and safer. You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.) You communicate clearly, seek feedback, and give it thoughtfully. You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence. Why Join RelationalAI Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale. Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure. Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one. Balance – We offer flexible working hours so you can find a rhythm that works for you and your life. RelationalAI is proud to be an equal opportunity employer. We welcome people of all backgrounds, experiences, and identities. We are committed to building a team that reflects the rich diversity of our customers and communities. The annual salary range for this position is $150,000 to $200,000. Actual compensation will be determined based on the candidate’s skills, qualifications, experience, and location. Please note that our compensation structure varies by region, and salary ranges may differ accordingly.Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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About the TeamThe Integrity White Hat team is responsible for proactively uncovering failure modes in OpenAI’s most advanced models, products and runtime systems before they reach the world. This small, high-impact group partners closely with research, safety teams and security to probe vulnerabilities, surface early warning signs of misalignment, and ensure that our models meet the highest standards of safety.About the RoleYou will be a founding member of the team and help shape the strategy and vision for how we ensure fast and safe deployment of more powerful models and product experiences. You’ll define the scope and methodology of adversarial evaluations, drive alignment between model development and safety, and ensure OpenAI remains at the forefront of proactive risk mitigation.We’re looking for someone who thrives at the intersection of research and safety, operate with high integrity and urgency, and are motivated by the mission to ensure AGI benefits all of humanity.In this role, you will:Define the strategic direction and methodology for adversarial testing—including empirical probing, stress-testing, and alignment-focused evaluations.Identify and characterize emergent risks in reasoning, instruction-following, agentic behavior, and other critical capabilities before they result in external incidents.Collaborate with external partners to extend the reach and rigor of the White Hat efforts.Operate with a lean and efficient structure, balancing in-house expertise with vendor support where appropriate.You might thrive in this role if you:Have a proven track record of leading White Hat initiatives for frontier models or complex AI systems.Bring deep familiarity with LLM behavior, post-training evaluation techniques, and AI safety research.Are highly attuned to failure modes in AI systems—e.g., sycophancy, jailbreaking, and harmful outputs—and can surface these before production.Prefer working in close proximity to research teams rather than commercial or sales-focused environments.Have experience building and scaling high-trust, high-performance technical teams.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! About the RoleIronclad is accelerating its investment in AI to redefine how legal teams manage and understand contracts. As part of this effort, we are hiring an AI Evaluation Engineer to work within our AI Pillar. This role is focused on unlocking insights from our training data, designing feedback loops, and ensuring the continuous improvement of our agentic and ML or LLM-based systems through data-driven evaluation and iteration.You’ll partner closely with AI Engineers and Product Managers to drive better model quality through systematic analysis, experimentation, and the curation of high-leverage datasets. Your work will directly impact the effectiveness of features like Smart Import, contract understanding, and agentic workflows.What You'll Be DoingAnalyze training and evaluation datasets to identify distributional gaps, labeling inconsistencies, and long-tail opportunities.Design and execute labeling campaigns, including development of golden datasets and annotation guidelines.Build and maintain dashboards that track model accuracy, regression trends, and product-specific KPIs like success rate or answer helpfulness.Investigate failure modes via prompt clustering, error taxonomy development, and user intent classification.Operationalize feedback loops: mine product telemetry and human-in-the-loop reviews for signal, then translate into data-driven model improvement strategies.Partner with engineers and PMs to run structured A/B tests and human evaluations for new models or features.Support the development of scalable data and evaluation infrastructure for LLMs and agents.Work with product, engineering and legal to create clear & transparent processes for the handling of customer data in AI training, fine-tuning and evaluationAbout YouBachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Data Science, Applied Math).1–3 years of experience in applied ML or data science, preferably in NLP or LLM-based applications.Strong SQL and Python skills; experience with Jupyter, Pandas, and experiment tracking tools.Comfortable navigating ambiguity, slicing large datasets, and communicating insights clearly to cross-functional stakeholders.Experience with prompt analysis, clustering, or user behavior modeling is a plus.Bonus: familiarity with LLM eval techniques, Reinforcement Learning from Human Feedback (RLHF), or agentic system design.Experience with program management.Why This Role MattersAI is critical to the value Ironclad customers get from their contracts, allowing their business to manage risk, close revenue faster and operate more effectively. None of this is possible without reliable and accurate data. This role will lead these efforts, becoming a key contributor to the development of AI solutions in an industry that is likely to be transformed by the new generation of models.What We ValueBias for action and data curiosityOwnership mindset and team-first attitudeComfort in fast-paced, iterative environmentsPassion for building AI products that solve real-world customer problemsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere: Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.  About The Search and Embeddings RoleOne of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models. The Search and Embedding PM manages the following models and products:Embeddings (Embed-v4.0)Rerank (Rerank-v3.5) Compass (Cohere’s Search Solution) Evaluation of Search performance across all products and models In this role, you will: Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities. Use data and customer engagements to better understand user needs and guide future product and model development.Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape. Read lots of papers and collaborate with ML on ensuring our models remain SOTA In order to be successful in this role, you have:At least 4+ years of product management experience, understanding customer needs, and launching successful products.At least 1+ years of working on search products and embedding/reranking models.Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.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.You’ll be responsible for:Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.We’re looking for someone with:Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Cohere is a fast growing company in the extremely dynamic artificial intelligence space. We are building a Government Affairs and Public Policy (GAPP) team that has the drive, and experience to engage in, and shape a nascent and unique policy environment for enterprise AI.We seek a Government Affairs professional to lead our EMEA (Europe, Middle East & Africa) government affairs strategy. Candidates will have a proven track record, are analytical, collaborative, driven, and possess a passion for the new and evolving public policy debate at the intersection of enterprise technology and artificial intelligence.There’s no better time to join us in building this function as we shape the future of AI.As our Head of, European Government Affairs you will:Report directly to Cohere’s Global Head of Government Affairs & Public Policy, partnering closely with Cohere’s senior leadership, legal, public policy and responsible AI teams to develop, coordinate and implement a government affairs and stakeholder engagement strategy to advocate for responsible AI policies and related issues.Expand Cohere’s profile as the go-to thought-leader and industry partner of choice on issues relating to safe and responsible artificial intelligence policy, regulation and enforcement.Guide and coordinate Cohere’s political engagement in EMEA countries by cultivating relationships, and represent the company with key government officials, lawmakers, regulators, and other third-party stakeholders to influence the development of artificial intelligence legislation, regulations and public policy.Work closely with public sector sales teams and in shaping technology policies in regulated sectors (such as banking, healthcare and others) is helpful.Proactively monitor, report and work with cross functional teams to craft thoughtful responses to governmental initiatives and regulatory issues that may impact Cohere’s business or products.In collaboration with Cohere’s public relations and marketing teams, support effective messaging relating to Cohere’s position on artificial intelligence policy and regulation.Manage government relations consultants and trade associations.Ensure compliance of lobbying and political activities with local laws.You may be a good fit for this career opportunity, if you have:Broad knowledge of technology policy and artificial intelligence, its application, and uses, and experience in understanding, debating, and shaping relevant EMEA policies and regulations.A strong aptitude to navigate intricate and fluid political and policy debates across jurisdictions, prioritize issues and distill key messages for a variety of audiences.Experience in building and leading a government affairs team, advising, and collaborating with cross-functional internal & external stakeholders.A growth mindset, and a self-starter with the ability to work independently, and get things done.15+ years of proven leadership experience working with or in government, public interest groups, trade associations or corporate public policy organizations.An undergraduate degree in political science, business, or law (or equivalent practical experiences).Multilingual experience is a must have. Preference for English, French and German.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Backend Engineer (f/m/d)* on the Real-Time Communications team, you will be enabling our users to interact with our AI agents in their device of choice, using their preferred communications medium in a self-service fashion, with the highest standards of reliability and security. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Python, Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, NATS, Kamailio, RTPengine, Janus, FreeSwitch   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Solid understanding of real-time communication protocols Willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Senior Backend Engineer (f/m/d)* on the Skills team you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP. Managed access to business systems dramatically increases their value while controlling for security and risk. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Experience in Typescript, Node (ideally NestJS); or experience with comparable frameworks in other languages, and a willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: As a Senior Backend Engineer (f/m/d)* on the Evaluations Platform team you will collaborate with Engineers, Scientists, and Product, building Parloa’s Evaluations Platform - enabling our customers to simulate agent behavior in custom scenarios and evaluate and monitor AI Agent behavior and performance both in simulations and production. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. Parloa has an office first hybrid in-office policy. Our team is usually in the office 2 to 3 days a week.  IN THIS ROLE YOU WILL: Work on our brand new LLM functionality to improve the customer service experience for millions of customers. Execute and lead projects end-to-end, including: collaborating with a product manager to understand user-facing requirements, leading architecture and system design, and non-functional requirements such as security, monitoring, & logging. Design, build, and maintain secure and scalable backend services in Python. Optimize system performance for low latency, high throughput, and reliability. Collaborate across teams to integrate machine learning components into production systems. Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon). Drive initiatives to improve operational excellence. Contribute to the evolution of our architecture and engineering culture. Our Tech stack: LLMs: OpenAI and other LLM-as-a-Service providers, Prompt engineering, LLM finetuning FastAPI, MongoDB, MySQL, Redis, Kafka, Terraform Docker, Helm, ArgoCD, Kubernetes Python, TensorFlow, PyTorch, scikit-learn for efficient implementation WHAT YOU BRING TO THE TABLE: 7+ years of experience as a backend engineer Experience with highly scalable real-time micro-service architecture.  Passion for writing clean and modular code that is easy to maintain, update, test and scale. Experience with version control systems, code review processes, and CI/CD pipelines. Experience with owning the Backend service development process end-to-end: from gathering requirements to design to support and continuous improvement, monitoring and maintenance. Experience in leading medium-sized technical projects (3-9 months roadmap) Proficiency in Python. Strong spoken and written communication skills in English. NICE TO HAVE: Some ML experience and a grasp of popular ML libraries and frameworks WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health and other benefits. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Challenge → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: As a Senior Backend Engineer at Parloa, you will have a crucial role in helping us build the leading enterprise solution for automated dialogs. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. IN THIS ROLE YOU WILL: Design and develop efficient backend solutions based on Node.js/Typescript running containerized as highly scalable applications in Kubernetes clusters. Evaluate new technologies and their integration into our current codebase in the form of research sprints. Share your technical knowledge with your peers, so the whole team can benefit from each other’s experiences. Actively exchange code review feedbacks with other software engineers, considering both style and implementation.   Our Tech stack: React/Redux, TypeScript, NodeJS, Inversify, NestJS, Lerna, Koa, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Proficiency in backend engineering that you have mastered during your 7+ years of work experience. Passion for writing clean and modular code that is easy to maintain, update, test and scale. Solid work experience with OOP-Typescript, NodeJS, MongoDB, and Docker. Eagerness to take ownership of a task from inception to completion without losing focus of the business context. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Team Lead Interview → Challenge Task → Expert interview(s) → Meeting the team     Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About CallidusWe are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way.Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission.More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team.We work hard, ship fast, and win together.  Your RoleWe want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to:- Design, build, and maintain customer‑facing features end‑to‑end.- Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.).- Collaborate daily with lawyers and product to ship measurable user value.- Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”.- Uphold code quality, security, and performance through reviews and automated tests. Seniority LevelHiring for all levels of seniority from mid-level engineer (Software Engineer II, at least 2 years of experience) to staff/principal (~8+ years of experience).This role will report to the CTO. Tech Stack- Cloud: Azure- Backend: Python (FastAPI), Redis, Postgres- Frontend: React / Next.js, Node- AI: OpenAI, Anthropic, Gemini, Meta, Mistral (choosing best‑in‑class per task) What We’re Looking For:Full-stack engineering in Python + React/Next.Proven record of shipping high‑quality products quickly.Experience working with LLM APIs and prompt engineering.Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.).Startup or LLM‑focused‑company experience.Ability to commute to San Francisco office ~3-5 days per week. Soft Skills:Ownership mindset: you do what you say and surface risks early.Ability to work well with ambiguity and low amounts of process.Excellent problem solving capabilities. Passion & Dedication:Genuine excitement for AI and building category‑defining products.Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.).Understanding that this will be much more than a 9‑to‑5. The high effort is easy when you love what you do, the company you’re building, and the mission you’re fulfilling.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Lead high-impact multidisciplinary projects across teams and work independently to define the scope and work requirements.Derive and implement novel, real-time pose estimation algorithms and share the work across a multidisciplinary team.Research, develop, and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration, and/or vision-based localization.Collaborate with deep learning, device, and cloud teams to improve overall system architectures.Manage complex, cross-functional projects from conception to deliveryCreate and maintain comprehensive project roadmaps and technical documentationProgram and develop software in C++ and perform detailed code reviews for other team membersRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)Understand numerical stability, sensor modeling, and system/noise identification concepts.Understand theoretical shortcomings in modern algorithms and problem solve to overcome them.Understanding of camera geometry, bundle adjustment, stereo vision, structure from motion, feature tracking, multi-object tracking, IMU integration, factor graphs, etc.Published research in computer vision and robotics (if M.S. or Ph.D.).Strong leadership and communication skills.Experience in technology transfer and commercialization.Preferred Qualifications:Experience deploying SLAM/VIO estimators in a real-world application.Experience with multiple sensors such as GPS, IMU, camera, and wheel odometry.Experience utilizing/interacting with deep learning approaches to improve results.Experience leading a small team of engineers.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a leader of our AIOM (AI Outcomes Manger) team. The AIOMs are responsible for ensuring that our customers’ end-users successfully adopt and derive meaningful, measurable value from Glean’s AI solutions. The AIOMs perform the following types of activities:  End-user training enablement (company and function sessions, search, chat and agent content), prompt and agent advisory/building and value realization. Ultimately, the AIOMs are responsible for breadth and depth of end-user engagement across our product suite.   You will:  Manage the employee lifecycle for a team of AI Outcomes Managers to drive high-impact customer enablement, advisory/building on our platform and business value realization with Glean’s products. Develop a set of Glean prescriptive adoption playbooks including codifying a set of standard process, templates and assets to drive delivery consistency with our customers Engage with executive sponsors and business stakeholders across priority accounts Partner cross-functionally with the other leaders of the customer organization including:  Solution Architects, Delivery Excellence Managers and Support to ensure Glean is providing a seamless customer journey to our customers Synthesize feedback and business insights from the field, influence Glean’s product roadmap, and collaborate with Product and R&D to shape new features and agent capabilities Design, implement, and report on metrics for the AIOM team demonstrating ROI, adoption, and transformation progress for customers Serve as a thought leader and subject matter expert on AI outcomes and user transformation; evangelize best practices internally and externally. About you:  4+ years of experience in customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company. Demonstrated ability to lead teams and drive business transformation through technology adoption. Excellent problem-solving skills and ability to communicate effectively with diverse audiences, from executives to end users. Strong data fluency; comfortable with adoption/ROI metrics and business KPIs. Consultative, creative, and motivated mindset—excited about helping organizations rethink business processes and work styles with AI. Proven product sense and ability to maximize the impact of complex software platforms. Experience facilitating workshops and change management programs for business transformation. Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.   Location:  This role is hybrid (3 days a week in our San Francisco or Palo Alto office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.  

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:Derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Program and develop software in C++ and/or pythonDerive and implement novel, real-time pose estimation algorithmsResearch, develop and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration and/or vision-based localizationCollaborate with deep learning, device, and cloud teams to improve overall system architecturesRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) with all of the following: programming in C++, designing and developing software, classical ML, linear algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Cohere customers self-serve our API without any intervention. This team unlocks the complex technology we build for customers to understand, trust, and pay for.As a Senior Software Engineer, you will:Improve the platform’s auth, billing, and payment systemsAdd new features to the interactive Playground where customers can try our modelsImplement new platform features for managing deploymentsWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to reinvent the wheel, and won’t be able to use the most popular libraries or toolingYou may be a good fit if:You have 5+ years of experience writing clean backend code. Our stack includes: Golang and React.You’ve built payment systems and have experience with subscription or usage-based SaaS, and/or products with a freemium model.You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base.You’ve worked in both large enterprises and startups.You excel in fast-paced environments and can execute while priorities and objectives are a moving target.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the teamThe Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.About the roleAs a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.In this role, you will:Build and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with clusters, networking, and infrastructure teams.Partner with external operators to ensure a high level of quality.Identify and fix performance bottlenecks and inefficiencies.Continuously improve automation to reduce manual work.You might thrive in this role if you have:Experience managing large-scale server environments.A balance of strengths in building and operationalizing.Proficiency in Python, Go, or similar languages.Strong Linux, networking, and server hardware knowledge.Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.Prior hardware expertise is not required for this role.Bonus Skills:Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)Knowledge of hardware management protocols (e.g., IPMI, Redfish).High-performance computing (HPC) or distributed systems experience.Prior experience developing, managing, or designing hardware.Familiarity with monitoring tools (e.g., Prometheus, Grafana).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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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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OVERVIEW At Aleph Alpha, we are shaping the future of AI with European values at the core. The heart of our product is developing cutting-edge generative AI solutions with a strong emphasis on sovereignty, ethical development, and societal benefit. Our generative AI offering empowers businesses, governments, and individuals to achieve their full potential. TEAM To bring our vision to life, we work closely with our partners to unlock the transformative power of generative AI. Our Customer Team empowers them by leveraging Aleph Alpha’s sovereign solution stack, ensuring they can harness AI’s full potential with confidence and security. As our Senior Team Lead, AI Solutions Engineering (f/m/d), you will drive the implementation of scalable solution concepts to support business growth in alignment with company objectives.You will work closely with Engineering and Product to  help them shape a stable production environment.   YOUR RESPONSIBILITIES Lead, inspire, and manage a diverse team of engineers, fostering a culture of accountability, inclusion, collaboration, and continuous learning.Oversee end-to-end project delivery, ensuring timelines, quality standards, and a wide range of stakeholder expectations are effectively met.Mentor and support the development of all team members through regular, constructive feedback, goal setting, and inclusive career development planning.Supervise project delivery teams, matching the right skills and strengths to each project, and empowering them to deliver high-quality outcomes on time.Act as a trusted escalation point and oversight lead for both internal and external projects, ensuring alignment, responsiveness, and timely resolution.Stay up to date with the latest developments in AI and related technologies to help shape an innovation strategy that reflects market needs and diverse perspectives.Analyze complex technical and organizational challenges to identify root causes and co-create effective, timely, and sustainable solutions.Collaborate closely with cross-functional teams including sales, engineering, support, operations, IT, and business stakeholders to ensure project success and shared ownership of outcomes.YOUR PROFILE You have a proven track record of leading complex projects from planning to execution in dynamic, fast-paced environments.You lead, coach, and develop high-performing technical teams, helping individuals grow while aligning with business goals.You bring expert-level knowledge of Machine Learning, Artificial Intelligence, and Large Language Models, enabling you to guide technical discussions, make informed decisions, and align team efforts with strategic goals.You have extensive experience delivering software and solution implementation projects in complex customer and partner environments, across both pre- and post-sales phases.You are solution-oriented, with a strong record of turning around challenging projects and solving organizational issues with speed and creativity.You are fluent in English and German, enabling effective communication with diverse, international stakeholders and teams.WHAT YOU CAN EXPECT FROM USBecome part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health JobRad® Bike Lease Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model Virtual Stock Option Plan 

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Who we areEma is building the world’s largest agentic AI platform to revolutionize enterprise productivity. Our proprietary technology enables companies to delegate repetitive tasks to Ema, the Universal AI employee, unlocking 10x gains in workforce efficiency. Founded by ex-Google, Coinbase, Flipkart, and Okta executives, we bring deep product and scaling expertise to this mission. Our team includes top engineers from Google, Microsoft Research, Facebook, Square, and Coinbase, and alumni of Stanford, MIT, UC Berkeley, CMU, and IITs.We’ve raised over $60M from top-tier investors including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and prominent angels like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz. Ema is headquartered in Silicon Valley with a second hub in Bangalore, India. This is a hybrid role requiring in-office work three days per week. Role OverviewAs the Revenue Operations Manager, you will play a critical part in scaling and optimizing our revenue engine as we bring cutting-edge generative AI platforms to enterprise customers. Reporting to the Head of Revenue Operations and working closely with the Chief Commercial Officer, you will help ensure a high-quality pipeline across all lead sources, streamline revenue processes, and drive operational excellence to accelerate deal velocity across the funnel.This is a rare opportunity to join an ambitious startup at the Series A stage, build foundational systems from the ground up, and influence go-to-market strategy through data-driven insight and operational rigor. Roles and Responsibilities:Pipeline Management & Forecasting: Partner with the CCO to monitor, forecast, and optimize pipeline health across inbound, outbound, partner, and marketing channels. Ensure data accuracy and visibility into key revenue metrics such as coverage ratios, stage conversion rates, and forecast attainment. Build and maintain dashboards and reporting infrastructure to support real-time decision-making.Deal Acceleration & Funnel Optimization: Analyze sales cycle velocity, identify friction points, and develop scalable solutions to improve win rates and reduce time-to-close. Collaborate with GTM teams to standardize processes for lead qualification, opportunity progression, and handoffs between functions.Systems & Tools: Manage and optimize RevOps tech stack including CRM (e.g., Salesforce, HubSpot), sales enablement, and automation tools. Drive system hygiene, process documentation, and training for the commercial team.Cross-functional Collaboration: Work closely with Sales, Marketing, Customer Success, and Product teams to align on goals, lead routing, territory management, and attribution models. Support annual and quarterly planning processes including territory design, quota setting, and performance analysis.Insights & Strategy: Generate actionable insights from revenue data to inform GTM strategy, campaign targeting, and resource allocation. Identify trends and gaps in the funnel and recommend improvements to messaging, tactics, or segmentation. Qualifications3+ years of experience in Revenue Operations, Sales Operations, or a similar role in a B2B SaaS or tech startup environment.Strong understanding of enterprise sales processes and funnel dynamics.Proficiency in CRM systems (e.g., Salesforce, HubSpot)Demonstrated ability to work cross-functionally and drive alignment among GTM teams.High attention to detail, structured thinking, and a bias for action in ambiguous, fast-paced environments.Preferred QualificationsExperience working in an early-stage (Series A/B) startup environment.Background in selling to enterprise customers or supporting enterprise sales teams.Familiarity with the generative AI space or deep interest in AI/ML technologies.Experience with lead scoring, account-based marketing, or multi-touch attribution.Exposure to forecasting methodologies (e.g., MEDDIC, BANT, or similar frameworks). Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about?  We are seeking a highly skilled Backend Software Engineer to join the GenAI Solutions for CX, our fully integrated AI cloud customer experience platform. On this role you will get the exposure to new and exciting technologies and collaborate with professional engineers, architects, and product managers to create NICE’s advanced line of AI cloud products  How will you make an impact? Design and implement high-performance microservices using AWS cloud technologies  Build scalable backend systems using Python  Lead the development of event-driven architectures utilizing Kafka and AWS Firehose  Integrate with Athena, DynamoDB, S3, and other AWS services to deliver end-to-end solutions  Ensure high-quality deliverables with testable, reusable, and production-ready code  Collaborate within an agile team, influencing architecture, design, and technology adoption  Have you got what it takes?  2+ years of backend software development experience  Strong expertise in Python/C#   Deep knowledge of microservices architecture, RESTful APIs, and cloud-native development  Hands-on experience with AWS Lambda, S3, Athena, Kinesis Firehose, and Kafka  Strong database skills (SQL & NoSQL), including schema design and performance tuning  Experience designing scalable systems and delivering enterprise-grade software   Comfortable working with CI/CD pipelines and DevOps practices  Passion for clean code, best practices, and continuous improvement  Excellent communication and collaboration abilities  Fluent in English (written and spoken)   What’s in it for you?  Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!   Enjoy FLEX!  At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 7989 Reporting into: Tech Manager Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.