AI Product & Operation Jobs

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our upcoming Seattle office location or on-site with strategic customers 4 days per week; Lambda’s designated work from home day is currently Tuesday. About The RoleWe're looking for a Forward Deployed Engineer to embed directly with a strategic customer, serving as the technical bridge between Lambda and their team. You'll work where model performance matters most, delivery timelines are urgent, and ambiguity is the default state. Your job is to map problems, structure delivery paths, and ship solutions that create measurable impact.What You’ll DoCustomer EngagementEmbed on-site with a named strategic customer, becoming an extension of their teamAct as the primary technical liaison between Lambda and the customer organizationNavigate ambiguous requirements to identify root problems and define clear technical solutionsDrive alignment across internal Lambda teams and customer stakeholdersTechnical DeliveryScope, sequence, and build full-stack solutions that deliver measurable business valueDesign and implement infrastructure optimizations for AI/ML workloads at scaleDebug complex distributed systems issues across the infrastructure stackShip iteratively and learn fast, adjusting approach based on customer feedback and resultsStrategic ImpactIdentify reusable patterns from customer engagements that can scale across Lambda's customer baseSurface field intelligence that influences Lambda's product roadmapDocument and share learnings to elevate the capabilities of the broader teamRepresent Lambda with executive presence in high-stakes customer interactionsAbout YouMust-Have6+ years of experience in a SRE, software engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Hands-on experience with AI/ML workload management tools (Volcano, Kubeflow, or similar)Can work either independently with limited direction or as part of a teamFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarExcellent communication skills with the ability to translate technical complexity for diverse audiencesExecutive presence and ability to represent Lambda in customer-facing situationsComfort operating in ambiguous environments with competing prioritiesStrong bias for action and shipping iterativelyNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   As Customer Success Manager you will lead strategic AI transformation initiatives for Fortune 500 legal departments and will be responsible for successful delivery of our platform and solutions. Operating at the intersection of account strategy and execution, you’ll own senior client relationships and shape how leading organizations leverage AI to transform their operations. You will work with Eudia’s Product and Delivery teams to oversee delivery and in-life performance for enterprise clients, ensuring successful implementation, adoption, and measurable success of our platform and will bring an analytical mindset to assess business value, determine ROI, and establish success metrics for ongoing customer engagements. You will work closely with sales, and as part of the account team, to identify areas where our clients can further benefit from AI products and services.     We are seeking individuals with a proven track record in managing the delivery and success of complex software & services implementations for large enterprise clients. Legal training or experience working with legal teams is an advantage. This role offers significant autonomy, executive exposure, and the opportunity to shape both client strategy and product direction.   Key Responsibilities: Strategic Vision & Solution Design Co-create innovative AI solutions with Fortune 500 legal departments, aligning workflows and technology to unlock breakthrough value  Educate and inspire customers on AI possibilities, serving as their trusted advisor on emerging capabilities and future state vision  Design and implement multi-year roadmaps that address complex functional and business challenges   Value Creation & Delivery  Lead end-to-end implementation of AI initiatives, quarterbacking cross-functional teams to deliver high-stakes programs with measurable business impact  Orchestrate internal resources to bring the best of our capabilities to each customer  Develop and implement frameworks to measure ROI and showcase value realization to stakeholders  Customer Leadership & Growth  Build and nurture executive relationships across legal, technology, and business functions  Identify and unlock new value opportunities within existing customers  Lead customers through their AI transformation journey while expanding relationships and unlocking additional value  Provide training & support to customers legal teams as part of the journey   Product & Function Development  Be the voice of the customer internally, shaping our product roadmap and go-to-market strategy  Lead the development of best practices and frameworks that can scale across our customer base  Qualifications: 5+ years of experience in enterprise software implementation, or equivalent strategic roles in software & services companies.   Experience supporting and delivering to the largest companies in the world  Comfort with AI and advanced technologies with an ability to learn quickly and train & mentor customers on the technology  Bachelor’s degree in business, computer science, or related fields   Legal training or a law degree is an advantage, but not required   Exceptional analytical capabilities and structured problem-solving skills demonstrated through complex client engagements or software implementation programs  Strong interpersonal and collaboration skills for building strong, lasting relationships  Proven ability to tailor communication to diverse technical, sales, and executive-level stakeholders  Excellent organizational, time management, verbal, and written communication skills  Track record of handling multiple customers, projects and workstreams concurrently  Experience working with Enterprise legal operations (Legal Ops) is preferred  Enthusiasm for AI transformation, legal technology, or disruptive service models  Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be consideredAbout the RoleHippocratic AI is building safety‑first generative intelligence for healthcare. We are hiring an RN with clinical product experience to partner with our model and product teams to develop, validate, and continuously improve our medical large language models (LLMs). This role sits at the intersection of clinical expertise, patient communication, and product innovation – ensuring our AI agents are accurate, empathetic, and aligned with clinical best practices. What You’ll DoEvaluate the Medical Model. Design and run clinical evaluation protocols to assess the accuracy, safety, and appropriateness against guidelines and standards of care.Provide Clinical Insights. Translate frontline nursing expertise into product decisions—shaping dialog flows, safety rails, escalation criteria, and patient‑friendly explanations.Review & Triage Errors. Analyze error reports, identify root causes, and partner with engineers/researchers on remediation plans.Author “Gold Standards.” Create test cases, rubrics, and reference answers for high‑stakes scenarios; define acceptance criteria for model releases.Cross‑Functional Partner. Collaborate with ML researchers, speech/voice specialists, product managers, and QA to prioritize improvements and measure impact.What You Bring:Must-Have:Active, unrestricted Nursing License (RN) in your practicing state.Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills.Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams.Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP. Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices.Intellectual curiosity and a commitment to advance health delivery and increase access to all.Nice‑to‑Have:Background in quality/safety or clinical education.Experience with clinical guidelines and patient‑education best practices.Domain expertise in clinical and care management workflows.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About Cosmos We’re not your average MSP. We’re building an AI-first IT platform where humans and intelligent agents work together to keep companies running faster, smarter, and cheaper than anyone thought possible.Cosmos is a new Infinity Constellation venture — an AI-powered Managed Services company designed from the ground up for automation, observability, and Zero Trust. No legacy bloat. No ticket silos. Just clean architecture and code that matters.If you want to babysit servers, go somewhere else. If you want to build the backbone of how AI runs IT — keep reading.The Role We’re looking for a Cloud & Automation Engineer who lives at the intersection of systems, code, and chaos. You’ll be the one making sure everything just works — clouds stay up, agents stay smart, and users stay happy.You’ll: • Build, scale, and harden cloud environments (AWS + GCP). • Automate identity, provisioning, and access — because tickets are for amateurs. • Jump in on escalations that make other people sweat. • Write clean, reusable scripts to kill manual work forever. • Make the infrastructure invisible, reliable, and ridiculously fast.This is part ops, part dev, part automation wizard. You’ll be in the guts of the platform — the one who makes the lights never go out.What You’ll Do1. Cloud Infrastructure & Automation • Own AWS and GCP environments: compute, storage, networking, IAM, monitoring, and costs. • Automate provisioning and identity using APIs, SCIM, and whatever scripts get the job done. • Build integrations that let AI agents deploy, fix, and scale environments autonomously. • Write Python, Bash, or PowerShell scripts that make everyone’s life easier.2. Systems Reliability & Performance • Keep infrastructure stable, secure, and observable — CloudWatch, GCP Ops Suite, whatever works. • Run backups, test disaster recovery, and make sure you can sleep at night. • Patch, monitor, log, repeat — but smarter every time. • Troubleshoot the hard stuff: auth loops, permissions, weird edge cases no one’s seen before.3. Endpoint & Identity Management • Manage endpoints across macOS, Windows, and Linux using Zero Trust principles. • Build secure baselines that scale across hundreds of devices. • Work closely with our Security team to make “secure by default” more than a slogan.4. Collaboration & Mentorship • Act as L2/L3 escalation for Help Desk and onboarding. • Write documentation that people actually want to read. • Share what you learn — raise the team’s IQ every week.Who You Are • You’ve got 5+ years managing systems and cloud infrastructure — AWS, GCP, both, whatever. • You code or script your way out of every problem (Python, Bash, or PowerShell). • You think in automation, not checklists. • You know networking, IAM, and security inside out. • You’ve lived through a few “oh sh*t” incidents and learned how to prevent the next one. • You speak fluent troubleshooting — logs don’t scare you. • You want to be part of something early, messy, and meaningful.Location & Schedule This is a remote, global role, but you’ll work primarily on New York (EST) hours. We don’t care where you live — just that you can think fast, write clearly, and deliver results.Bonus Points • Terraform, Ansible, or configuration management experience. • Certs like AWS Solutions Architect or GCP Cloud Engineer. • Experience in MSP or multi-tenant environments. • Familiarity with SOC 2, ISO 27001, or GDPR compliance. • Obsessed with Zero Trust, automation, and clean architecture.Why You’ll Love It Here • You’ll work where AI and cloud collide — building systems that literally learn. • You’ll automate problems faster than they appear. • You’ll never get stuck waiting for permission to fix what’s broken. • You’ll be part of a team that values speed, reliability, and doing things right.This isn’t maintenance. It’s evolution. If uptime, automation, and adrenaline sound like your kind of stack — welcome to Cosmos.Salary and CompensationApproximate Annual Salary Range*Poland: EUR 35,000 – 65,000Romania: EUR 30,000 – 55,000Bulgaria: EUR 28,000 – 50,000Ukraine: EUR 25,000 – 45,000Ireland: EUR 55,000 – 85,000Other Eastern EU Markets: EUR 30,000 – 60,000*Ranges vary based on experience, certifications, and local cost of living and may also include an add’l bonus on top of base.What We OfferCompetitive compensation and performance-based incentives.Flexible remote or hybrid work options.Opportunities to work with AWS, GCP, JumpCloud, Halo ITSM, and Google Workspace.Professional development and support for certification.Collaborative team culture with a focus on reliability, security, and innovation.Exposure to complex multi-tenant and automation-driven environments.You’ll be part of a team building the next generation of AI-assisted cloud operations — combining automation, observability, and Zero Trust to reinvent how IT is delivered.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more..About the role:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.What you will do:Lead the technical architecture and implementation of key product features for LangSmith working across our entire Go, Python, and Typescript stackPartner with product and design teams to build new features Drive aggressive project timelines while ensuring high engineering standards are being met.Lead by example in writing clean, maintainable, and well-tested codeWork closely with customers to understand their needs and shape the product directionHow to be successful in this role:Extensive experience in software engineering ideally working on fullstack, complex platform productsPrior experience building and managing a team of engineersStrong backend experience with Go and/or Python Strong frontend experience with React + TypescriptGood understanding of database systems, particularly Postgres and RedisExperience designing and scaling APIs ideally for high-throughput or data-intensive systemsA “get stuff done” attitude—comfortable shipping fast and iterating based on user feedbackStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersOwnership mindset with a bias for action and a focus on delivering impactBonus: Experience building AI/LLM-powered applications, developer tools, and/or observability platformsCompensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Salary range: $200,000 - $235,000

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.  Certifications: Bar admission in any jurisdiction strongly preferred. Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.  Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$100/hr, depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.  Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are hiring Software Engineers at the mid-career, senior, and staff levels to join a number of open roles on our Agent team, focused on building the future of Agentic Video Editing! About the team: Descript's Agent launched in Open Beta in July 2025. Since then, we've been working on improving the user experience for chat-based editing, adding more capabilities into our agent, and improving our agent infrastructure to continue to scale as models get better and better. The Agent team is a mix of AI Researchers and Software Engineers committed to our mission to make video editing accessible to anyone. Your peers will be based in San Francisco, New York, and distributed across the US and Canada. This is the role for you if any of the following areas sound exciting: Experimentation to push the limits on quality for our video editing agent (eg. harness and tool design, token/context optimizations, RL/new model development, multimodal, etc) Building a best-in-class product experience for agentic video editing interactions and improving user retention (eg. tuning prompt templates and other key user workflows, addressing user feedback, building key product capabilities like chat history, etc) Laying the foundations for a best-in-class developer experience for building agents (eg. logging, evals framework, online monitoring and feedback loops, etc) What you bring: Minimum Qualifications 3+ years of professional product engineering or fullstack experience Worked with Typescript, React, and RESTful APIs (or similar) Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) High ownership and growth mindset You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, AI research) Extra credit! Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos! Experience building agents, working evals infrastructure, or designing product experiences powered by LLMs Studies show that women and people of color are less likely to apply to jobs unless they meet every single qualification. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification above, please apply anyways. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for these roles is $174,000-$286,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleAs Head of Engineering at Siena you'll set technical vision for the first intelligence layer in customer experience—AI pipelines, evals, integrations, multi-agent orchestration. Your job: decide where we build, what we buy, how we scale.You're shaping Siena's technical strategy, influencing product direction, building the culture. You operate as peer to product, design, and revenue leadership. And you still prototype with Cursor and Claude Code on weekends because that's who you are.We're looking for someone who's scaled teams to 30+, stayed deeply technical with AI tools, and thinks in systems while moving at startup speed. You bring infectious energy, high agency, and the rare ability to zoom from board strategy to debugging production in the same conversation.What you'll doSet technical roadmap aligned to business goals—make build vs buy decisions at company levelDouble our engineering team over 12-18 months—design team structures, develop leaders, coach and be an example for what's possible with agentic codingStay hands-on with AI tools—write prototypes, review critical PRs, ship experiments, maintain technical credibilityOperate cross-functionally—partner with product/design/revenue as peer, shape company strategyDrive velocity at scale—ship weekly, cut scope based on learning, rally teams through ambiguityBuild culture that attracts top talent—create momentum through energy, establish practices that scaleWhat we're looking forYou've scaled teams to 30+ successfullyYou still code building using AI tools like Cursor, Claude Code, Codex, Lovable, v0You have technical depth with AI-native fluencyYou're comfortable with customers—join enterprise calls, understand their technical pain, earn trust at exec levelYou have high agency—take bets, shape direction proactivelyYou've led teams that shipped regularly at scaleYou've made technical decisions that shaped company directionYou've developed multiple leaders from ICsYou've maintained velocity during high growthYou've built with relevant technology: conversational AI, event-driven systems, LLM applications, CX platforms, e-commerce, API integrationsYou zoom from strategy to debugging fluidlyYou bring infectious energy, positive culture builder mindsetYou have startup DNA—comfortable with ambiguity, move fastThis isn't a "Head of Engineering who used to be technical" role. This is for the technical leader who shapes engineering culture, sets technical strategy, operates as peer to VP-level leaders, and still codes using AI tools today.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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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 We’re looking for a Software Engineer to help build and scale the data systems that power our machine learning products. This role sits at the intersection of data engineering and ML infrastructure: you’ll design large-scale streaming pipelines, build tools that abstract infrastructure complexity for feature developers, and ensure that our feature data is reliable, discoverable, and performant across online and offline environments. If you’re passionate about building foundational systems that enable machine learning at scale — and love solving complex distributed data problems — this is the role for you.What You’ll DoDesign and scale feature pipelines: Build distributed data processing systems for feature extraction, orchestration, and serving — including real-time streaming, batch ingestion, and CDC workflows.Feature Extraction: Design and implement reliable, reusable feature pipelines for ML models, ensuring features are accurate, scalable, and production-ready through well-designed SDKs and orchestration tools.Build and evolve storage infrastructure: Manage multi-tier data systems (e.g. Bigtable for online features/state, BigQuery for analytics and offline training), including schema evolution, versioning, and compatibility.Own orchestration and reliability: Lead workflow orchestration design (e.g. Pub/Sub, Busboy, Airflow/Temporal), monitoring, and alerting to ensure reliability at 100M+ video scale.Collaborate with ML teams: Partner with ML engineers on feature availability, dataset curation, and streaming pipelines for training and inference.Optimize for performance and cost: Tune GPU utilization, resource allocation, and data processing efficiency to maximize system throughput and minimize cost.Enable analytics and insights: Support downstream analytics and data science workflows by ensuring data accessibility, discoverability, and performance at scale.Preferred Qualifications4+ years building distributed data systems, feature platforms, or ML infrastructure at scale.Strong experience with streaming and batch pipelines (e.g. Pub/Sub, Kafka, Dataflow, Beam, Flink, Spark).Deep knowledge of cloud-native data stores (e.g. Bigtable, BigQuery, DynamoDB, Snowflake) and schema/versioning best practices. Proficiency in Python and experience building developer-facing libraries or SDKs.Experience with Kubernetes, containerized data infrastructure, and workflow orchestration tools (e.g. Airflow, Temporal).Familiarity with ML workflows and feature store design — enough to partner closely with ML teams.Bonus: Experience working with video, audio, or other unstructured media data in a production environment.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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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team’s mission is to bring the world’s most powerful software engineer to the world’s largest companies safely, securely, and at scale.About the RoleThis role is for a software engineer working on Codex, with a specific focus on making it work well for our largest customers. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse enterprise requirements into products that scale across organizations. The role bridges what enterprises need and what the broader Codex team builds, ensuring that enterprise capabilities are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.In this role, you will:Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration.Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs.Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.Work closely with GTM teams and directly with enterprises to understand real-world developer workflows.Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus..Have hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls.Have experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the RoleWe’re looking for a Senior Privacy Engineer to lead initiatives that ensure our products and infrastructure meet the highest standards of data protection and user privacy. You’ll work closely with cross-functional teams—including security, legal, product, infrastructure, and research—to design and implement privacy-enhancing technologies and compliance mechanisms at scale.This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect and implement privacy-preserving systems across our data stack, including data collection, storage, processing, and access layers.Develop and apply privacy engineering frameworks (e.g., data minimization, differential privacy, anonymization/pseudonymization techniques) to production services.Build and scale privacy controls such as role-based access, audit logging, redaction/tokenization systems, data retention policies, and privacy incident detection.Partner with infrastructure and product teams to integrate privacy requirements into system designs from the ground up.Collaborate with legal, security, and compliance teams to translate regulatory obligations (e.g., GDPR, CCPA, HIPAA) into concrete technical controls and workflows.Conduct privacy risk assessments and help teams mitigate identified risks through design changes, automation, or monitoring.Mentor and support other engineers, elevating privacy as a core engineering discipline across the organization.Drive cross-org initiatives, such as privacy reviews, developer education, or privacy tooling roadmaps.You might thrive in this role if you:5+ years of industry experience in software engineering, security engineering, or privacy engineering, with significant ownership of privacy or data protection features.Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).Deep understanding of privacy technologies and principles, such as data anonymization, encryption, secure computation, privacy threat modeling, or differential privacy.Experience building scalable infrastructure and implementing controls in distributed systems, data platforms, or ML pipelines.Familiarity with global privacy regulations and their technical implications.Ability to influence and collaborate with teams across legal, compliance, product, and engineering.A bias toward practical, impactful solutions that balance privacy protections with product needs.Nice to HaveExperience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.Background in security engineering, trust & safety, or data governance.Contributions to privacy open-source projects or research.Prior experience in a regulated or highly sensitive data environment.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamJoin the engineering teams that bring OpenAI’s ideas safely to the world!The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector.You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact.From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most.This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role.In this role, you will:Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.Talk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers.Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYou might thrive in this role if you:US Citizen5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with underlying infrastructure primitives like Kubernetes and TerraformInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAn interest in enabling public sector use cases with unique requirementsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About MistralAt Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do*Research and develop novel AI methods for general-purpose mobile manipulation robots*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms About you*You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models*You are a highly proficient software engineer in at least one programming language (preferably Python)*You have hands-on experience with AI frameworks (preferably PyTorch)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if*You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment*You have a strong publication record in a relevant scientific domain Benefits in France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Machine Learning Systems Engineer  Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self-improving agents—all via an OpenAI-compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron-LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 – October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC-0 Licensed) focused on democratizing access to cutting-edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self-improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role: As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will:  Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high-performance inference engines and optimization techniques. Work on integration between vLLM, Megatron-LM, and HuggingFace ecosystems. Build tools for seamless model training, fine-tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self-improving AI agents. Who You Are Technical Skills: Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi-GPU and multi-node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development  Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron-LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem.  Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi-head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.Head of DataWe’re looking for n8n’s first Head of Data, a strategic builder who’s excited to design our data strategy, stack, and culture from the ground up. You’ll turn data into one of n8n’s biggest growth levers, helping every team make faster, smarter, and more confident decisions as we scale.🎯 Your main goal will be to build and lead n8n’s first dedicated data function, defining the strategy, stack, and culture that turn data into a core driver of growth and decision-making across the company.To do so, you’ll establish the foundations of our data organization, build scalable infrastructure, and empower every team to make faster, smarter, and more informed decisions.STRATEGY & VISIONDefine and articulate the company-wide data strategy, ensuring alignment with business priorities and anticipating future needs, especially in AI.Build a long-term roadmap for the data organization, from initial foundations to advanced analytics, data science, and AI use cases.Explore and adopt new technologies and methodologies that keep n8n at the forefront of data innovation.DATA INFRASTRUCTURE & ANALYTICSBuild and scale a reliable, secure, and modern data infrastructure that supports both BI and self-service analytics.Design and implement core data models, metrics, and dashboards to power decision-making across Product, Revenue, and Operations.Capture and transform raw data into clear, actionable insights that guide strategic choices and uncover growth opportunities.Ensure strong governance, data quality, and compliance with privacy and security standards.LEADERSHIP & COLLABORATIONLead, mentor, and grow a small team of Analysts/Analytics Engineers, with future expansion into Data Engineering and Data Science.Foster a culture of curiosity, learning, and experimentation within the data function and across the company.Partner closely with Product, Engineering, Sales, Marketing, Finance, and Leadership to embed data into every decision.REQUIREMENTSMust-haves💼 Data leadership experience: 8+ years in data, including building and leading data teams (both analysts and engineers) from the ground up.📊 Technical excellence: Proven experience designing and scaling modern data architectures (BigQuery, Snowflake, dbt, etc.), with strong modeling and performance optimization skills.🧠 Analytical mastery: Deep expertise working with large-scale user-level data (ideally in B2C/ B2B SaaS and PLG context) and strong understanding of marketing analytics and growth loops.🗣 Communication & influence: You can translate complex analytical concepts into clear business insights and influence cross-functional stakeholders.🚀 Strategic operator mindset: A player-coach who thrives on both building vision and executing hands-on in fast-paced environments.💡 Continuous learner: Up to date on the latest technological trends and experienced (or eager) in applying AI within data teams.🧰 Tools: Proficient in n8n’s data stack, including BigQuery, dbt, and BI tools such as Looker or Metabase.Nice-to-haves🤖 AI/ML experience: Exposure to building or leveraging AI/ML models in a data context.🛡 Data governance expertise: Familiarity with privacy, compliance, and regulatory frameworks.Why join us?At n8n, your work won’t disappear into a slide deck. You'll have the rare opportunity to build our data foundations from the ground up, shape how we make decisions, and directly influence how one of Europe’s fastest-growing SaaS companies scales.You’ll join a remote-first, high-performing team that values autonomy, experimentation, and continuous learning. You’ll have access to rich datasets, strong technical peers, and high internal demand for data-driven insights — all in an environment that’s curious, ambitious, and collaborative.Sound like a challenge you’re excited to take on?Apply now and help us build the future of automation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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ScaleSoftware Engineer - Robotics & Autonomous SystemsScale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.You Will:Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasetsBuild ML training and fine-tuning pipelines using Scale's robotics dataWork across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutionsDevelop tools and systems for robotics data collection, teleoperation, and model evaluationInteract directly with robotics and AV stakeholders to understand their technical needs and drive product developmentBuild real-time systems for robotic control, sensor fusion, and perception pipelinesDesign comprehensive monitoring and evaluation frameworks for robotics models and data qualityCollaborate with ML engineers and researchers to bring robotics research into productionDeliver features at high velocity while maintaining system reliability and performanceIdeally, You Have:3+ years of software engineering experience in robotics, autonomous vehicles, or related fieldsStrong programming skills in Python and TypeScript/Node.js for production systemsExperience with React and modern frontend development for 3D interfacesPractical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systemsUnderstanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)Experience with databases (MongoDB, PostgreSQL) and data processing at scaleTrack record of working with cross-functional teams including ML engineers, researchers, and customersStrong communication skills and ability to operate with high autonomyNice to Haves:Experience with C++Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronizationBackground in computer vision, SLAM, motion planning, or imitation learningFamiliarity with autonomous vehicle data, lidar technologies, or 3D data processingExperience with ML model deployment and serving frameworksKnowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfacesExperience with workflow orchestration systems (Temporal, Airflow)Published research or open-source contributions in robotics or autonomous systems

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for product-minded builders who love to own a customer problem end-to-end; discovering needs, shaping the solution, and shipping working software. If you identify more as a product manager who codes or an engineer with strong product instincts - you’ll thrive in this role. Expect to prototype quickly, write production-grade code, define success metrics, and iterate fast with real users.You’ll sit at the intersection between Product and Engineering, working cross-functionally and spending meaningful time with customers to turn ideas into delightful, high-performing features that would unlock real customer value. Expect your days to be varied, solving novel problems. You’ll switch fluidly between user interviews, product specs, and writing code.Your impact💥Lead zero-to-one development of new features and product improvements from problem discovery to launch and iteration.Build functional prototypes and ship production-grade features, integrating LLMs, APIs, tools, and data sources.Translate customer insights into crisp product requirements, specs, and success metrics.Design and run experiments (A/B, feature flags) to validate hypotheses and drive measurable outcomes.Partner with internal teams and customers to co-create solutions; turn high-signal feedback into roadmap priorities.Contribute to internal tools, documentation, and playbooks that accelerate how we ship.Champion a high bar for UX, performance, and developer ergonomics across the platform.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Experience across the product and software development lifecycle, with either a background in product management, software engineering or mixture of related roles.Regularly leverage AI coding tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Comfort operating across the stack of product work: user research and customer discovery, specs, product tradeoffs, technical constraints, launch, and post-launch optimization.Comfort with modern programming languages and frameworks (Typescript + Node.js preferred), or a proven ability to quickly master new technologies.A track record of owning outcomes, not just tickets - shipping features that moved metrics.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Deep interest in AI and excitement to build innovative, category-defining products.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program