AI Product & Operation Jobs

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.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 role As a Senior Manager within our AI Safety team, you’ll lead delivery across our AI Safety portfolio, focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space. This is a strategic role working alongside peers to shape the commercial delivery of our AI Safety projects in the UK You’ll serve as the primary link between clients 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: Overseeing, and providing thought leadership on, the delivery of novel and complex AI safety evaluations and red teaming projects for clients.Forming 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.Mentoring and developing team members, aligning their responsibilities with the fast-growing and important AI safety domain.Supporting wider delivery work as a Senior Manager when needed business to ensure maximum strategic flexibility and commercial impact.Who we're looking for:You bring proven experience or a passion for Applied AI safety, possibly from labs, academia, or evaluation/red teaming roles.You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight.You can effectively bridge the gap between highly technical AI safety research and strategic business challenges, communicating complex ideas clearly.You are excited by the opportunity to join a globally leading team in the fast-growing and vital AI safety ecosystem.You possess the flexibility to support broader senior manager work and embrace an entrepreneurial approach to a highly visible portfolio.You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes projects.The Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Culture and Leadership Interview (60 minutes) What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.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 Senior Manager within our National Security team, you’ll lead mission critical work for discerning and highly AI literate customers in the UK Government and for international partners. This is a fast paced and demanding role which, in addition to mission area context, requires programme delivery mastery and an ability to think thoughtfully and creatively about the role for AI in keeping the UK and its citizens safe.You can expect to lead portfolios of work for our customers, which range from experimental applications of emerging technologies, to products that we progress through a complete development lifecycle and deploy for users in Government.What you'll be doing:Overseeing, and providing thought leadership on, the delivery of multiple programmes of work for the National Security community, including strategy, R&D, and product builds.Forming strong, trusting relationships with Government customers, data scientists and wider networks of National Security practitioners.Developing and owning compelling proposals to grow our National Security portfolio.Advising clients on AI strategy and technical implementation, acting as a trusted partner and consultant.Mentoring and developing team members, aligning their responsibilities with the critically important National Security work for which we’re responsible.Supporting wider delivery work as a Senior Manager when needed business to ensure maximum strategic flexibility and commercial impact.Who we're looking for:You bring proven experience in National Security safety, possibly from Government, academia, or roles in industry.You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of National Security challenges.You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight.You possess the flexibility to support broader Senior Manager work and embrace an entrepreneurial approach to a highly visible portfolio.You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes proThe Interview ProcessTalent Team Screen (30 minutes) Introduction to the team (60 minutes) Case Study Interview (60 minutes) Culture and Leadership Interview (60 minutes)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleYou’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.About the RoleDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.Ensure data quality, observability, and performance across all AI systems.Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.Must HaveStrong experience in machine learning, deep learning, and NLP.Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.Proficiency in Python and familiarity with Go.Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).Ability to design ML systems for robustness, scalability, and automation.Strong coding, debugging, and data engineering skills.Passion for AI infrastructure and its real-world impact.Founder mindset: ownership, independence, and willingness to go deep.Nice to HaveExperience in speech recognition, TTS, or audio processing.Familiarity with LLMs, generative AI, or real-time inference systems.Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).Prior experience in startup environments with fast iteration cycles.Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleThis role requires both strong technical skills and the ability to communicate effectively with a range of stakeholders. You’re a versatile engineer who thrives in a role that blends customer engineering with technical development. You will work closely with our customers from onboarding through to their ongoing use of Happyrobot's AI platform, ensuring they maximize the value of our solutions.Tech ProfileComfortable Full-Stack: React, TypeScript, Node.js.Strong proficiency in Python with hands-on experience.Experience building AI/ML applications.Manage APIs and other tools for robust integration with various third-party systems.LLM prompting and tuning of voices and transcribers. Constant iteration to perfect use cases.Building new features or entire MVPs.Must haveFluency in JapanaseAbility to prioritize and manage multiple projects under tight deadlines.Excellent communication skills and the ability to explain technical concepts clearly.Founder Mindset: Hard work + independence + ownership.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Experience Designer to design, co-build, and optimize human - AI collaboration patterns that make AI agents both practical and transformative. You’ll own the end-to-end agent experience: gathering requirements, blueprinting conversational flows, defining usability guardrails, and ensuring post-launch performance meets business outcomes. This role sits at the intersection of design, product, and AI engineering, shaping how real customers interact with Voice & Chat AI agents across industries. What you’ll be doing Strategic Planning & Discovery Lead customer workshops to uncover high-impact automation opportunities. Analyze operations and conversations to identify where VoiceAI can create the most value. Partner with customers to define success metrics and ROI targets. Translate insights into agent personas, usability guidelines, conversation samples, and error-handling strategies. Agent Experience Design & Optimization Map and document conversational journeys that reflect customer expectations and real-world use cases. Design usability-driven blueprints that surface corner cases, exception handling, and escalation paths. Configure experience requirements in collaboration with AI Agent Engineers and Engagement Managers. Use analytics, transcripts, and customer feedback to continuously refine and optimize agent experience. Customer Success & Implementation Guide customers through the experience-design lifecycle - from concept to post-launch optimization. Train customer teams on best practices for managing VoiceAI usability and conversation design. Monitor live agent performance, track outcomes, and recommend improvements. Collaborate with Product and Engineering teams to influence platform features and standards. Document reusable design frameworks and share best practices across accounts. What you'll bring to the role 3+ years of experience designing conversational systems (IVRs, chatbots, assistants) or human - AI interaction frameworks. Conversational AI Expertise: Ability to design natural, usable dialogue and flow across industries. Human Computer Interaction (HCI): Strong grounding in HCI principles, with the ability to design seamless human - AI workflows. Communication & Facilitation: Skilled at running workshops, presenting designs to executives, and aligning diverse stakeholders. Prompt Engineering Skills: Ability to write and refine effective LLM prompts, tuned for performance and consistency. Technical Awareness: Familiarity with APIs and system dependencies; able to design within technical constraints and collaborate with engineers effectively. Data-Driven Mindset: Comfort using analytics tools (e.g. Looker) to track and optimize conversational outcomes Preferred: Background in HCI, Cognitive Science, Business, or CS, prior work on enterprise AI deployments or high-impact conversational systems. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $95 - 140K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional AI Engineer to join our agent team and help shape both our product.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Team includes ex-Apple AI Research, 4 YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoSet up end-to-end evals to measure & improve agent performance.Experiment with new agentic techniques (e.g. multi-agent systems, reasoning-from-feedback, RFT, etc)Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in productionStay on top of emerging research and blogs on LLM/AI agents and bring ideas into production experiments. What We’re Looking ForAmazing ability to speak with LLMs - Occam's razor in prompting Strong experience with Python 3+ years building in ML/AI.Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryNote that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job. We’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! The base compensation range for this position for candidates in the SF Bay Area is: $190,000 - $284,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. About this Pipeline Role: This is a pipeline posting for potential future openings on our Data Engineering team. While we are not actively hiring for this position at this time, we are always looking to connect with talented Senior Data Engineers who are passionate about building and optimizing large-scale data systems. By joining our talent pipeline, you’ll stay on our radar for future opportunities that align with your skills and interests as they become available. In this role, you would work on improving the core pipelines that power our Identification product and design new processes that enable our data science team to test and deploy new ML/AI models. The product delivered by this team is integrated into the core product stack and is a critical component of Demandbase’s account intelligence platform. If you are an experienced engineer who is passionate about data and eager to make an impact, we’d love to stay connected. What you’ll be doing (in a future role): Lead initiatives to build, expand, and improve real-world entity identification datasets Coordinate with downstream stakeholders with dependencies on identification datasets Design and build new pipelines to increase identification coverage and detect errors Collaborate with a skilled data science team to enable new ML/AI model development Provide insights into optimizing existing pipelines for performance and cost-efficiency Create and document descriptive plans for new feature implementation What we look for: Bachelor’s degree in computer science, engineering, mathematics, or related field 8+ years of relevant experience Progressive experience in the following areas: Object-oriented / strongly typed programming (Scala, Java, etc.) Productionizing and deploying Spark pipelines Complex SQL Apache Airflow or similar orchestration tools Strong SDLC principles (CI/CD, unit testing, Git process, etc.) Solid understanding of AWS services (IAM, EC2, S3) An interest in data science Even Better If You Have: Experience with Python, distributed computing, ad-targeting, or GenAI Background in the ad-tech industry Experience modeling and working with graph-based datasets Interested in joining our pipeline?If this role sounds like a great fit for your background and career goals, we encourage you to join our talent network by submitting your application. We’ll reach out when a relevant opportunity opens up! Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.      Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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About SolidroadBuilding something great is addictive. It’s like discovering your favorite TV show mid-season, except you're helping write the next episode. It’s like unboxing a new gadget, except you’re the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We’re using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe’re looking for a Product Support Specialist who loves problem-solving, thrives in fast-moving environments, and takes pride in delivering exceptional customer experiences.You’ll be the first line of defense — and sometimes offense — when it comes to ensuring our customers get the most out of Solidroad. You’ll diagnose issues, triage bugs, and work closely with our Product and Engineering teams to close the loop fast. You’ll turn support data into insights that shape product decisions and help us deliver world-class reliability to world-class customers.This is a hands-on role for someone who wants to grow quickly, learn deeply, and have a tangible impact on both our users and our roadmap.What you'll actually do day-to-dayDevelop deep product expertise to troubleshoot and resolve customer issues across Slack, live chat, email, and video calls.Manage inbound support tickets and live chat with empathy, precision, and urgency.Own the escalation process — from identifying bugs to coordinating with Product and Engineering for resolution.Monitor and manage SLAs for response and resolution times, ensuring we meet or exceed expectations.Analyze recurring issues and surface insights that reduce future support volume and improve customer experience.Contribute to internal and external documentation, making it easier for customers (and teammates) to self-serve.Build product education video tutorials and support new customer onboarding. Collaborate cross-functionally to improve processes, close feedback loops, and keep customers delighted.Participate in incident reviews and advocate for long-term fixes, not just short-term patches.Our Team & CultureWe’re a small, focused group working full-time in our San Francisco office. We’re here five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave 2–4 years of experience in Product Support, Technical Support, or Customer Success within a SaaS or AI-driven environment.Strong problem-solving skills — you love debugging, identifying patterns, and getting to the root cause.Excellent written and verbal communication skills. You can explain complex issues clearly to non-technical audiences.Calm under pressure — you handle live chats and escalations with composure and clarity.Analytical mindset — you use data to spot trends and opportunities for improvement.Highly organized, detail-oriented, and proactive. You don’t just close tickets; you close loops.Familiarity with tools like SQL, APIs, Intercom, or HubSpot is a plus.A natural curiosity about AI, customer experience, and how humans and machines can work better together.The good, the bad, and the honest truthThe highs are real: you’ll help world-class customers like Ryanair, ActiveCampaign, and Crypto.com get value from Solidroad every day. You’ll become an expert in AI, customer operations, and product reliability.The lows? It’s fast, it’s ambiguous, and things break sometimes. You’ll need grit, curiosity, and the ability to problem-solve across multiple fronts. But you’ll never be bored — and you’ll always be learning.

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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: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Note: This role with require you to work in EMEA/US East hours. Location:  This role is hybrid (4 days a week in our Bangalore office) #LI-HYBRID

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.The Technical Program Manager will drive the end-to-end execution of next-generation SoCs, from early architecture through RTL, verification, DFT, physical design, tape-out, and post-silicon validation. This role requires strong technical depth in silicon development alongside program management expertise to ensure successful delivery of complex, cross-functional projects. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Comfortable operating at the intersection of technology, execution, and business. Skilled at breaking down complexity into clear goals and deliverables. A strong communicator who ensures alignment across technical and non-technical teams. Proactive, adaptable, and capable of thriving in ambiguity. Driven by impact and motivated to shape the future of silicon and AI platforms.   What We Need Bachelor’s or Master’s degree in Electrical/Computer Engineering or related field. 10+ years of semiconductor experience (Architecture, Physical Design, RTL, Design Verification, or Program Management). Strong understanding of chip architecture, design flows, and system-level tradeoffs. Familiarity with industry standards across compute and SoC (e.g., ARM, RISC-V, AI accelerators, interconnect protocols). Experience leading large, cross-functional engineering teams and managing dependencies. Proficiency with project management tools (e.g., JIRA, Confluence) and structured reporting.   What You Will Learn How advanced SoC programs integrate CPUs, accelerators, interconnect, and memory subsystems. The balance of technical tradeoffs across power, performance, area, and time-to-market. Best practices for coordinating hardware, software, and system teams on high-stakes projects. Insights into emerging technologies in AI compute, networking, and silicon platforms. How to manage execution across multiple global teams in a fast-moving environment.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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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?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.As a Senior Research Scientist, Model Evaluation, you will:Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.Build scalable and reusable tools for digging into model performance.You may be a good fit if:You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.You have strong software engineering skills.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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 up to 6 months🎨 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, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role:Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities:Research & Architecture Development:Design and implement novel architectures for large-scale video and multimodal diffusion modelsDevelop new approaches to multimodal fusion, temporal modeling, and video controlResearch temporal video editing techniques and controllable generationResearch and validate scaling laws for video generation modelsCreate new loss functions and training objectives for improved generation qualityDrive rapid experimentation with model architectures and training strategiesValidate research directly through product deployment and user feedbackModel Training & Optimization:Train and optimize models at massive scale (10s-100s of billions of parameters)Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LMDesign and implement model surgery techniques (pruning, distillation, quantization)Create new approaches to memory optimization and training efficiencyResearch techniques for improving training stability at scaleConduct systematic empirical studies of architecture and optimization choicesTechnical Innovation:Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generationCreate novel solutions for multimodal learning and cross-modal alignmentResearch and implement new optimization techniques for generative modeling and samplingDesign and validate new evaluation metrics for generation qualitySystematically analyze and improve model behavior across different regimesRequirements:Research Experience:Master's or PhD in Computer Science, Machine Learning, or related fieldTrack record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)Demonstrated experience implementing and improving upon state-of-the-art architecturesDeep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)Strong background in optimization techniques and loss function designExperience with empirical scaling studies and systematic architecture researchTechnical Expertise:Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)Experience training diffusion models with 10B+ parametersExperience with very large language models (200B+ parameters) is a plusDeep understanding of attention, transformers, and modern multimodal architecturesExpertise in distributed training systems and model parallelismProven ability to implement and improve complex model architecturesTrack record of systematic empirical research and rigorous evaluationEngineering Capabilities:Ability to write clean, modular research code that scalesStrong software engineering practices including testing and code reviewExperience with rapid prototyping and experimental designStrong analytical skills for debugging model behavior and training dynamicsFacility with profiling and optimization toolsTrack record of bringing research ideas to productionExperience maintaining high code quality in a research environmentAbout the Team:You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our team values:Open technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat sets us apart:Opportunity to advance the state-of-the-art in video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large-scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.This role is hybrid (2 days in-office) for Uruguay-based candidates and Remote for Argentina-based ones.About the RoleAs a Senior Software Engineer at AirOps, you’ll help design and deliver core features across our AI-powered platform. You’ll work across the stack—from crafting backend services in Ruby on Rails to building intuitive, performant interfaces with React.In particular, this role will take ownership of a key initiative to expand and improve our integrations framework—making it easier for users to connect to the tools they already use and enabling new, powerful workflows. You’ll work closely with Product and CX to understand needs, prioritize capabilities, and deliver seamless, reliable integrations.We’re looking for engineers who thrive in fast-paced environments, take pride in building high-quality products, and are motivated by the opportunity to make meaningful contributions in a collaborative and dynamic team.Key Responsibilities:Design, develop, and maintain full stack features across the AirOps platformCollaborate cross-functionally to define technical solutions that meet user and business needsWrite clean, scalable, and well-tested code in both frontend and backend systemsReview code, mentor teammates, and help uphold engineering best practicesOwn and improve key parts of the application—from performance to architectureStay up-to-date with the latest developments in AI, data, and web technologiesContribute to a strong culture of experimentation, iteration, and shipping fastQualifications:5+ years of experience building production-ready software across the stackProficiency in Ruby on RailsSolid experience working with ReactExperience with modern web development tools (e.g., TypeScript, Tailwind, Webpack, PostgreSQL, Redis)Strong understanding of RESTful APIs and system design principlesExperience building or maintaining third-party integrations is a plusProduct-minded: able to balance engineering quality with pragmatic trade-offs to move fastInterest in or experience with Generative AI and related technologiesDemonstrated initiative and aptitude to make independent decisions and resolve complex challenges in a remote environmentBachelor’s degree in Computer Science or equivalent experienceNice to Have:Experience working on AI/ML or LLM-based productsFamiliarity with CI/CD and cloud platforms (AWS, Heroku, Vercel, ECS)Experience with observability tools like Datadog or SentryOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!The Selection ProcessSilver.dev Recruiter ScreenSilver.dev Live Coding ScreenCTO ScreenAirOps Technical AssessmentCEO Screen

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs an Automation Software Engineer, you will play a key role in designing and developing the software that powers our automated testing and inspection platforms. Working within the R&D department, you will create robust, scalable automation tools that support both product development and manufacturing operations. Your primary focus will be software development for test automation, while also collaborating on mechanical and electrical integration aspects of test systems.ResponsibilitiesTest Automation Development – Design, implement, and maintain automated test and inspection software, primarily using Python.Data Acquisition & Analysis – Build tools for real-time data collection, visualization, and analysis to improve product validation and process efficiency.System Integration – Interface with sensors, cameras, motion controllers, and other hardware components to create fully automated testing workflows.Test Fixture Collaboration – Work with mechanical and electrical engineers to design and integrate physical test fixtures when needed.Cross-Team Collaboration – Partner with product development, manufacturing, and quality teams to deliver reliable and maintainable automation solutions.Candidate RequirementsMSc in Software, Electrical, Mechatronics, or related engineering field.Top level Python programming skills, including experience with automation frameworks, hardware communication protocols and data processing.Experience developing automated test systems, measurement setups, or manufacturing automation tools.Familiarity with version control (Git) and structured software development practices.Comfortable with CAD tools (SolidWorks, Onshape or similar).Comfortable performing soldering, wiring, and small-scale electrical circuit work for test system integration.Strong problem-solving skills and ability to design practical, robust engineering solutions.Excellent communication skills and proven ability to collaborate across multidisciplinary teams.Location and CommitmentsContract Type: Permanent contract (CDI)Work Schedule: Full-timeAvailability: ASAPLocation: ParisWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role and Team:Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users.You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions.Our team values:Quick iteration and practical solutions.Open discussion of technical approaches.Direct access to decision makers.Regular sharing of learnings, results, and iterative work.Key Responsibilities:Infrastructure Development:Build performant pipelines for processing video and multimodal training data at scale.Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets.Create efficient data loading systems optimized for GPU training throughput.Implement comprehensive telemetry for video processing and training pipelines.Core Systems Development:Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline.Build robust data validation and quality measurement systems for video and multimodal content.Design systems for data versioning and reproducing complex multimodal training runs.Develop efficient storage and compute patterns for high-dimensional data and learned representations.System Optimization:Own and improve end-to-end training pipeline performance.Build systems for efficient storage and retrieval of video training data.Build frameworks for systematic data and model quality improvement.Develop infrastructure supporting fast research iteration cycles.Build tools and systems for deep understanding of our training data characteristics.Research & Product Impact:Build infrastructure enabling rapid testing of research hypotheses.Create systems for incorporating user feedback into training workflows.Design measurement frameworks that connect model improvements to user outcomes.Enable systematic experimentation with direct user feedback loops.Requirements: Technical Background:Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.3+ years experience in ML infrastructure development or large-scale data engineering.Strong programming skills, particularly in Python and distributed computing frameworks.Expertise in building and optimizing high-throughput data pipelines.Proven experience with video/image data pre-processing and feature engineering.Deep knowledge of machine learning workflows, including model training and data loading systems.System Development:Track record in performance optimization and system scaling.Experience with cluster management and distributed computing.Background in MLOps and infrastructure monitoring.Demonstrated ability to build reliable, large-scale data processing systems.Engineering Approach:Love tackling hard technical problems head-on.Take ownership while knowing when to loop in teammates.Get excited about improving system performance.Want to work directly with researchers and engineers who are equally passionate about building great systems.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities:Inference & DeploymentDevelop high-performance GPU-based inference pipelines for large multimodal diffusion models.Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale.Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs.Model Optimization & Fine-TuningLeverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality.Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback.Production MLOpsDesign and maintain automated CI/CD pipelines for model deployment, versioning, and rollback.Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems.Performance & ScalingExplore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs.Requirements: Technical ExpertiseProven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.).Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving.Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models.Experience profiling and optimizing model inference (batching, concurrency, hardware utilization).InfrastructureHands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML.Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems.Domain ExperienceExposure to diffusion models, multimodal video generation, or large-scale generative architectures.Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds.This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanWellness stipendEducation stipendPaid Parental LeaveFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking a Customer Technical Program Manager to lead engagements around our RISC-V CPU server and machine learning processor architectures. In this role, you’ll serve as the primary interface between our customers and our engineering/architecture teams—ensuring that customer requirements are understood, translated into execution plans, and delivered through coordinated SoC development programs. You’ll balance program management discipline with technical depth, enabling customers to succeed with Tenstorrent technology while driving alignment across internal teams This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Customer-first mindset, comfortable serving as the voice of the customer internally. Technically savvy, able to engage deeply with architecture, design, and validation teams. Organized and detail-oriented, with a track record of hitting milestones in complex programs. Collaborative, able to balance customer needs with internal priorities. Confident communicator, able to influence across technical and business stakeholders.   What We Need 7+ years of experience in technical program management or related leadership roles, ideally in CPU, SoC, IP or AI hardware programs. Strong technical background in RISC-V, server CPU, SoC architecture is preferred Proven ability to lead customer-facing programs, ensuring requirements are tracked and delivered Strong skills in project scheduling, risk management, and cross-functional coordination. Excellent communication skills for translating complex technical issues into clear customer updates.   What You Will Learn How customers integrate RISC-V IPs in real-world platforms Best practices for bridging technical program management with customer engagement in complex SoC programs. Exposure to cutting-edge CPU, accelerator, and SoC architectures driving the next generation of compute. How to navigate customer priorities in fast-paced, high-stakes technology engagements. Strategies for balancing internal innovation goals with external delivery expectations.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of the AI Research and Development team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood.  We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable.  To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company.  As we embark on this exciting journey, we are looking for a Senior Machine Learning Engineer to join us to make this vision a reality. This role is based in our Menlo Park, CA or Bellevue, WA office(s), with in-person attendance expected at least 3 days per week.  At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include: Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation. A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results. Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy. Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements.  Present results to different stakeholders. Tooling and Documentation: Build reusable libraries for common machine learning practices.  Offer support and guidance to the usage of these tools.  Maintain comprehensive documentation of libraries, models, experiments, and findings. . What you bring 2+ years of applied ML experience productionizing ML models with a focus on recommendations, ranking or personalization projects. A fervent interest in exploring and applying AI and ML technologies. Strive to solve sophisticated engineering problems that drive business objectives. Solid technical foundation enabling active contribution to the design and execution of projects and ideas. Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning. Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow. Experience with Spark, Kafka, and Kubernetes is also desirable. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$157,000—$185,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$139,000—$163,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$122,000—$144,000 USDClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.