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Safety Engineer (Data)
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production. This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale. In this role, you will - Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation. - Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists. - Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar. - Build evaluation workflows for models in production, using real-world data to track performance and surface issues. - Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are - Experience as a Data Scientist, or similar, working with real-world datasets and ML models. - Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation. - Comfortable with Python and SQL for analysis and practical data workflows. - Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions. - Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment. Bonus points - Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection. - Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML. - Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling. - Experience operationalising guidelines with policy or legal teams. Location This role is based in London, where you'll work closely with our AI Safety and Policy teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Technical Editor
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. The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines. You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders. Key responsibilities - Write and edit technical public-facing reports and blogs for Anthropic - Takes pieces from inception to publication on short deadlines - Solicit input from partner teams across Anthropic, while preserving narrative clarity Minimum qualifications - Strong alignment with our mission and experience working in AI safety - Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers - Familiarity with how frontier AI systems are trained, evaluated, and deployed - A track record of shipping accurate, polished work on short deadlines and under pressure - Ability to work with subject matter experts to understand technical concepts and fact-check assertions - Strong judgement about how to incorporate legal, policy, and reputational considerations into the work - Comfort taking ownership in a fast-moving environment where processes are still taking shape Preferred qualifications - Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures - Experience as a technical writer or editor at a technology company or research lab - Comfort working in a content management system (CMS) and publishing web content - Experience using AI tools like Claude to streamline editorial processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.
Technical Recruiter, AI
We are seeking an experienced Technical Recruiter to partner closely with engineering leadership and drive a best-in-class hiring experience. The ideal candidate will have a proven track record as a full-cycle technical recruiter in high-growth environments. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and technology landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signals others miss and to move faster than the market. What You'll Do - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top technical talent at scale - Use AI to sharpen every stage of the funnel, from drafting compelling outreach to mapping talent pools and identifying non-obvious candidates - Manage the candidate experience throughout the recruitment process, providing timely feedback and updates - Build strong partnerships with hiring managers to understand technical requirements and team dynamics - Negotiate job offers and close candidates - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in technical recruiting What You Bring - 5+ years of full-cycle technical recruiting experience - Experience working at a high-growth startup - Proven track record of successfully placing top-tier technical talent - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied Applicant Tracking Systems (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment
Account Manager, Renewals & Expansion (West Coast)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention. What you'll do - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates. - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets. - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles. - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value. - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers. - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams. - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey. - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain. What We're Looking For - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS. - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention). - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles. - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus. - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers. - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform. - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting. - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment. (Preferred) - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company. - Experience managing renewals in a consumption or usage-based pricing model. Location: US West Coast Compensation: - $230K OTE + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Account Manager, Renewals & Expansion (East Coast)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention. Key Responsibilities - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates. - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets. - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles. - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value. - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers. - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams. - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey. - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain. What We're Looking For - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS. - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention). - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles. - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus. - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers. - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform. - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting. - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment. (Preferred) - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company. - Experience managing renewals in a consumption or usage-based pricing model. Location: US East. Preferably New York Compensation: - $230k OTE + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Senior Counsel - Product & Privacy
About the Role Together AI is looking for a Senior Counsel to help build the legal and compliance foundation behind our AI infrastructure and the products our customers depend on. You’ll work alongside Product, Engineering, Research, Security, Infrastructure, and Sales as the legal partner who helps each team move quickly while keeping risk in view. This role suits a lawyer who wants to build programs in product, privacy, export controls, and patent and licensing strategy, and who is curious enough about inference, fine-tuning, and GPU infrastructure to give advice grounded in how the technology works. Responsibilities Product - Partner with Product and Engineering early in the lifecycle to shape new inference, fine-tuning, GPU cluster, and platform offerings with legal considerations built in. - Draft and maintain customer-facing product terms. - Advise on legal issues unique to AI infrastructure: model hosting and third-party model licenses, data use and ownership, and shared responsibility between platform and customer. - Build playbooks, templates, and self-serve tools that let the business move fast without legal becoming a bottleneck. - Advise on open-source and model licensing (open-weight models, permissive and restrictive licenses, community licenses). - Help build and run our patent program: invention disclosure processes, working with Research and Engineering on patentable innovations, managing outside patent counsel, and aligning filing strategy with business priorities. Privacy - Own and evolve our global privacy program across GDPR/UK GDPR, CCPA/CPRA and other US state laws, and emerging regimes in APAC and elsewhere. - Lead privacy-by-design reviews for new products and features, including those involving model inputs, outputs, logging, and retention. - Manage DPAs, subprocessor processes, cross-border data transfer mechanisms, and DPIAs. - Track developments in privacy and AI regulation, including the EU AI Act, and translate them into practical guidance for the business. Compliance & Export Controls - Build and operate an export controls and sanctions compliance program suited to a company handling advanced compute and AI technologies. - Advise on EAR, OFAC, and related regimes as they apply to GPU access, cloud services, model weights, and customer onboarding, including restricted-party screening, geographic and end-use restrictions, and license determinations. - Develop policies, training, controls, and monitoring in partnership with Finance, Security, Sales, and Infrastructure teams. Requirements - A JD and an active bar license in good standing - 7+ years of experience at a top law firm and/or in-house at a technology company, ideally cloud, infrastructure, semiconductors, SaaS, or AI. - Demonstrated experience advising product and engineering teams and drafting product terms. - Hands-on experience with global privacy law and running or substantially contributing to a privacy program. - Working knowledge of export controls (EAR/OFAC), ideally including building or scaling a compliance program. - Experience with technology and IP licensing, including open-source licenses. - Strong judgment, a pragmatic risk-based approach, and the ability to give clear, business-oriented advice. - A plain-spoken style that makes legal and technical points accessible to non-lawyers - Comfort working independently in a small, fast-moving legal team, with sound instincts for what to own, what to escalate, and when to bring in specialized outside counsel - Desire for learning and building with AI tools so you can operate self-sufficiently and at speed Preferred - Experience at a high-growth startup or scaling a legal function from early stage. - Familiarity with AI/ML legal issues, such as model licensing, training data, AI regulation, and responsible use. - Technical fluency, with comfort discussing GPUs, inference systems, APIs, and cloud architecture. - Privacy certifications (CIPP/E, CIPP/US, CIPM) About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $245-275K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Member of Data Staff (Data Acceleration)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done . You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work. What You'll Do - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. What We're Looking For - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. Bonus - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. Why This Role - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.
Supply Chain Operations Program Manager, AI Infras...
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Operations Program Manager (OPM) to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI’s AI infrastructure systems. This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability. Success in this role requires comfort operating in ambiguity, influencing without authority, and driving alignment across internal teams and external partners—while keeping eyes firmly on long-term system scalability and repeatability. In this role, you will: Strategic & Leadership Ownership - Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production - Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks - Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations - Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets - Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement Program Execution & Operational Excellence - Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans - Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer - Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners - Lead cross-functional build and debug cadences; ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention - Drive factory and deployment ramp readiness, including throughput, site readiness, yield targets, quality controls, and reliability gates - Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication - Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces - Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development Systems, Process & Partner Leadership - Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them - Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries - Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency - Support onsite factory builds and field deployments as needed (domestic and international travel) You Might Thrive in this role if: - 8+ years of experience in Operations, Engineering, Program Management, or equivalent, within hardware development, manufacturing, or supply chain domains (compute, networking, datacenter, or similarly complex systems) - Proven track record leading complex hardware NPI programs end-to-end, from early bring-up through production ramp - Strong understanding of manufacturing and supply chain fundamentals, including BOM management, ECO/MCO processes, build readiness, factory test, quality controls, and material planning - Demonstrated ability to lead cross-functional teams, influence senior stakeholders, and drive decisions in ambiguous, time-compressed environments - Exceptional written and verbal communication skills, with the ability to distill complex issues for executive and external audiences Preferred - Experience operating in hyperscale datacenter or large-scale infrastructure environments - Familiarity with supplier engagement models, build cost drivers, and NPI scaling tradeoffs - Technical background in server, rack, and/or network hardware - Experience designing or improving operational processes, dashboards, governance forums, or execution metrics - Experience supporting PLM processes and familiarity with ERP systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Applied Scientist, Product Policy
About the Team The Product Policy research team studies how people use and experience AI, generating evidence to inform product, policy, and safety decisions. We partner with researchers, data scientists, engineers, and cross-functional teams to understand AI’s effects on people’s lives, including well-being, youth experiences, and social and emotional use. About the Role We’re looking for an Applied Scientist to help design, execute, and analyze large-scale longitudinal research on AI use and well-being. You’ll work closely with research leads to translate scientific questions into rigorous studies, combining survey responses with behavioral data to understand how people’s experiences with AI evolve over time. This is a hands-on role spanning applied analysis, research methods, and study execution. You’ll build reproducible analytical workflows, assess data quality and representativeness, and help establish reliable infrastructure for ongoing panel research. Your work will support research involving teens and adults, including studies of AI companionship, and help turn findings into useful evidence for product, policy, and safety partners. In this role, you will: - Partner with research leads to develop study designs, survey measures, and analysis plans for longitudinal research on AI use and well-being. - Conduct statistical analyses of survey and behavioral data, including evaluating selection and response bias, account-linkage patterns, and sample representativeness. - Prepare and validate analysis-ready datasets, implement analysis plans, and produce clear summaries and visualizations using reproducible workflows. - Develop quality checks across survey programming, fieldwork, data delivery, and repeated study waves to identify inconsistencies and improve research reliability. - Own day-to-day study execution, coordinating timelines, vendors, and cross-functional dependencies to deliver high-quality research on schedule. - Collaborate with data engineering and privacy partners on responsible account linkage, data flows, logging, and retention. - Support human-subjects research review, including Institutional Review Board (IRB) documentation, protocol amendments, and consent and assent processes. - Maintain clear documentation of methods, measures, assumptions, and protocol changes, and contribute analysis and methodological materials for research readouts, publications, and peer review. - Communicate findings, limitations, and practical recommendations to technical and nontechnical partners, and build reusable tools and processes that improve future studies. You might thrive in this role if you: - Have experience conducting applied quantitative research in social science, behavioral science, human-computer interaction, statistics, or a related field. - Bring strong foundations in survey research and statistical analysis, with experience working on panel studies, longitudinal datasets, or human-subjects research. - Are comfortable using SQL and Python or R to prepare data, implement analyses, validate results, and create visualizations. - Understand how recruitment, missing data, participant attrition, and measurement choices can affect the interpretation and generalizability of findings. - Can move between analytical work and practical execution, managing multiple timelines and collaborators while maintaining scientific rigor. - Communicate clearly, lead with the key takeaway, and connect methodological choices and findings to the decisions they inform. - Exercise sound judgment when working with sensitive data and research involving minors. - Enjoy building structure in ambiguous environments and collaborating across disciplines. Nice to Have - Experience combining survey responses with behavioral or product data. - Familiarity with preregistration, measure validation, reproducible research, and academic publication or peer-review processes. - Experience working with research vendors, survey platforms, or IRB and ethics-review partners. - Research experience related to AI-human interaction, digital well-being, youth development, or social and emotional uses of technology. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Research Communications, Models & Frontier AI
About the Team OpenAI’s Product & Research Communications team helps people understand our technology, what it makes possible, and how to use it. We work closely with teams across the company to bring new products and research to the world, tell stories grounded in real experiences, and build trusted relationships with journalists. About the Role We’re looking for a hands-on communications leader to own the launch strategy and storytelling for OpenAI’s frontier AI models across ChatGPT and the API. You’ll turn advances in model capabilities into clear, compelling stories for research, developer, customer, and consumer audiences. You’ll get into the details with researchers, engineers, and product teams to understand what has changed, what the evidence shows, and what people can do with it. That means working through evaluations, exploring model behavior, and finding concrete examples that make an advance clear without losing its limitations. This role calls for technical curiosity and strong editorial judgment. You should be as comfortable working through an evaluation with a researcher as writing a launch blog, shaping a media strategy, or preparing a leader for an interview. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead model launches end to end across ChatGPT and the API, owning positioning, messaging, media strategy, spokesperson preparation, rollout, and follow-through. - Work with researchers, engineers, and product teams from the earliest stages of a release. Dig into capability changes, evaluations, model behavior, and limitations to identify what is new and why it matters. - Develop distinct stories for research, developer, customer, and consumer audiences, explaining the technical advance, what developers can build, how customers can apply it, and what it makes possible in everyday life. - Partner closely with the head of B2B communications to translate frontier AI advances, including changes in model cost and efficiency, into clear, evidence-backed stories about customer use cases and business value. - Find and develop compelling demonstrations, use cases, and proof points with research and product teams. Test claims against the evidence and make clear where a result does and does not generalize. - Write and edit launch blogs, messaging, FAQs, pitches, and briefings, staying close to the work from the first technical discussion through final materials. - Build trusted relationships with journalists across technology, science, business, and consumer media. Prepare researchers and leaders for substantive briefings, interviews, and public engagements. - Lead communications and editorial work on model system cards with safety researchers and safety communications colleagues, keeping evaluations, safeguards, and limitations clear and consistent with the launch. - Bring together consumer, developer, B2B, safety, and regional communications partners, alongside Marketing and Legal, to align stories, reviews, timing, and responsibilities. - Build a sustained story about model progress between launches. Use audience questions, media coverage, and real-world feedback to identify follow-up stories and sharpen future communications. You might thrive in this role if you: - Have a strong track record leading major launches for technically complex products or research, with clear ownership of both strategy and execution. - Enjoy getting into the details with researchers and engineers. You can work through evaluations, ask precise questions, and identify the story in a capability change. - Are an excellent writer and editor who can make the same technical advance meaningful to researchers, developers, business customers, and everyday users. - Know how to build a story from evidence, demonstrations, and real use cases, and can distinguish a meaningful advance from a result that needs more context. - Bring strong media judgment and trusted relationships with journalists, and can prepare technical and executive spokespeople for demanding questions. - Can lead a complex launch across teams, make sound calls as plans change, and take responsibility for the details as well as the big picture. - Have sound judgment about public claims, sensitive information, and timing. You know when to challenge an assumption, seek expert review, or explain uncertainty. - Build strong partnerships across functions, give clear editorial feedback, and bring genuine curiosity about AI and how people use it. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
AI Deployment Manager
About the Team The AI Deployment team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in London. 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: - Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. - Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. - Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You might thrive in this role if you: - Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. - Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. - Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. - Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base - Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. - Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. - Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
FullStack Engineer, AI Observability & Evals Platf...
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders. What you will do - Develop and implement key product features working across our entire Go, Python, and Typescript stack - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code How to be successful in this role - 2+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend - Solid understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation Annual salary range: $145,000-180,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Research Scientist / Research Engineer, Search Int...
About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. We push the boundaries of data, scaling laws, optimization techniques, model architectures, model + search co-design and efficiency improvements to propel our science. The Search team sits within Foundations, building agentic search by co-designing model-system interfaces with the core search stack: serving, indexing, and retrieval. We research and develop large-scale systems that transform and index vast corpora, enabling models to most effectively find and reason over information. In close partnership with researchers, we bring modeling advances into production and improve how AI systems discover, retrieve, and use knowledge. About the Role We’re looking for a Researcher to lead Search Integrity: the systems that distinguish useful web content from spam, manipulation, and other adversarial or low-quality material. The challenge extends beyond evaluating individual pages. A page may appear credible in isolation, while its links, metadata, or relationships with other sites reveal coordinated manipulation. As AI makes convincing content easier to produce at scale, detection systems must adapt to increasingly sophisticated adversaries. You’ll define the technical approach, build classifiers and evaluations, and shape how integrity signals influence what Search indexes and retrieves. Working closely with Search and broader Safety and Integrity teams, you’ll use frontier models to advance detection methods and bring them into production. Responsibilities - Define the technical direction for Search Integrity, identifying gaps and determining which problems and interventions to prioritize. - Develop AI and ML systems to detect spam, scams, phishing, malicious domains, prompt injections, and other adversarial or low-quality web content. - Discover useful signals across page content, links, domains, metadata, and relationships between websites, including patterns that reveal coordinated manipulation. - Build evaluations that measure detection quality and how integrity interventions affect the information Search surfaces. - Translate detection signals into indexing, ranking, and filtering decisions, improving what models can retrieve and rely on. - Serve as the technical owner for integrity within Search, partnering with researchers, engineers, and broader Safety and Integrity teams to build and deploy these systems. You Might Thrive in This Role If You Have - Deep experience in web spam, search quality, adversarial content detection, or related integrity problems at scale. - Strong applied ML and research skills, with experience developing classifiers, detection methods, and evaluations for real-world systems. - An understanding of how adversaries manipulate content and links, coordinate across sites, and adapt to detection systems. - A track record of independently defining ambiguous technical problems and driving solutions from experimentation through production. - Experience working across research, engineering, and integrity teams while remaining hands-on with technical work. - A first-principles approach to using frontier models and compute, and a strong interest in keeping detection systems effective as adversaries evolve. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Member of Technical Staff, Data Infrastructure Sto...
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role: Make data a solved problem for every GPU workload at Fireworks. We own how data is stored, cached and moved across clouds, so that training and inference teams never have to think about where their data lives or how it gets to them, and no GPU ever waits on it. In practice, that means building a unified, high-performance data layer that spans parallel file systems, object storage, distributed caches and key-value stores across multiple clouds. Datasets, checkpoints, model weights and KV cache should be in the right place at the right time, at whatever scale the GPUs need. Training jobs start without a data-staging step, inference replicas cold-start without waiting on weight downloads, and the system handles placement, replication and movement on its own. Key Technical Archetypes: - We expect strong candidates to have gone deep in at least one of these areas and to be comfortable in the others: - The Storage Systems Builder: Has designed and shipped a storage system: a distributed file system, a blob/object store, a KV store, or a storage engine. They can explain the tradeoffs they made in consistency models, replication, erasure coding, metadata scaling, compaction and failure recovery, and why they made them. - The Caching Architect: Has built a distributed or tiered cache across memory, NVMe and remote storage. They think in hit rates, eviction policies, cache coherence, prefetching and tail latency. Bonus if they've worked on caching for model weights, datasets, checkpoints, or LLM KV cache offload. - The Linux Power User: Knows the system under the hood: kernel I/O paths, POSIX semantics, page cache behavior, io_uring/SPDK, and OS-level tuning (sysctl, I/O schedulers, NUMA). - The Network-As-Code Expert: Understands RDMA, RoCE v2, InfiniBand and GPUDirect Storage from a software and configuration perspective, because neoclouds often need manual plumbing. Minimum qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). - 5+ years of experience designing, building and operating storage, caching or data infrastructure in production at scale. - Strong software development skills in C/C++, Rust or Go, with experience writing performance-critical data path code. Python or Go for automation. - Deep understanding of distributed storage fundamentals: consistency models, replication and consensus (e.g., Raft/Paxos), metadata scaling, caching, and failure recovery. - Hands-on experience with Kubernetes, including CSI, to mount high-performance volumes into ephemeral GPU pods. - Experience deploying and operating storage clusters (e.g., WEKA, VAST, Lustre, Ceph, MinIO) across clouds using infrastructure-as-code tools such as Terraform or Pulumi. - Proficiency with performance benchmarking and profiling tools (e.g., fio, iperf3, NCCL tests, perf, eBPF) to identify and resolve bottlenecks across the kernel, network, cache and storage backend. Preferred qualifications: - Experience as a core contributor or owner of a storage, caching or KV system, either in-house or open source (e.g., Ceph, Alluxio, JuiceFS, RocksDB, FoundationDB, TiKV, Redis/Dragonfly, SeaweedFS, MinIO). - Experience with high-performance computing or large-scale AI clusters (e.g., Slurm, Kubernetes GPU pools) and familiarity with AI I/O patterns such as checkpoint bursts, random dataset reads, and model-weight loading for inference cold starts. - Familiarity with Linux internals, including kernel I/O paths, POSIX semantics, page cache behavior, io_uring/SPDK, and OS-level tuning (sysctl, I/O schedulers, NUMA). - Familiarity with high-performance networking (RDMA, RoCE v2, InfiniBand) and GPUDirect Storage. - Experience moving, replicating or caching petabyte-scale datasets across clouds (e.g., AWS, GCP and specialized neoclouds), with attention to egress cost and consistency. - Preference for software-defined storage over proprietary hardware appliances. - We value depth in one area over a checklist of all of them. If you've built serious storage, caching or KV infrastructure and want to apply it to AI at scale, we'd like to hear from you. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Regional Research Economist, Economic Research
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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis - Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning - Demonstrated experience working in, and relevant relationships across, the region - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Demonstrated ability to lead complex research projects from conception to publication - Demonstrated ability to communicate technical findings to diverse audiences - Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications - Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Strong interest in ensuring AI development benefits humanity - Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects - How Australia Uses Claude: Findings from the Anthropic Economic Index - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.
Deployed Architect, Professional Services (San Fra...
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Key Responsibilities - Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What We're Looking For Required Experience 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: San Francisco Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Architect, Professional Services (Remote)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Key Responsibilities - Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What We're Looking For Required Experience 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Remote Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Deployed Architect, Professional Services (NYC)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Key Responsibilities - Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What We're Looking For Required Experience 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: New York City Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Member of Technical Staff, AI Products (Early Care...
NOTE ON ELIGIBILITY : this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads ). About the role In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. What you will do - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. What we look for - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. Nice to have - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Research Scientist / Research Engineer, Search - K...
About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. We push the boundaries of data, scaling laws, optimization techniques, model architectures, model + search co-design and efficiency improvements to propel our science. The Search team sits within Foundations, building agentic search by co-designing model-system interfaces with the core search stack: serving, indexing, and retrieval. We research and develop large-scale systems that transform and index vast corpora, enabling models to most effectively find and reason over information. About the Role We’re looking for a Researcher to work on semi-structured knowledge graphs within Search. You’ll research and develop methods for mining structured information from heterogeneous, unstructured and semi-structured web content, making that information more accessible and useful to AI models. The core questions are: What structure helps models find and use information? How can we extract it reliably at web scale? And how do we measure whether it improves the model’s ability to reason and answer questions? How do we design the system to be optimizable end-to-end? You’ll work across research, data, and systems, exploring how advances in AI and compute can improve the way knowledge is extracted, organized, and retrieved. This work will support retrieval across OpenAI products and internal research efforts, with opportunities for scientific publication. Responsibilities - Develop methods to extract and connect structured information across diverse web sources, including entities, attributes, and relationships. - Build scalable approaches for transforming noisy, inconsistent content into useful knowledge representations. - Explore how models and compute can improve extraction quality and reduce the manual work involved in building knowledge systems. - Design evaluations that measure both the quality of extracted knowledge and its usefulness for retrieval and model reasoning. - Partner with researchers and engineers to integrate structured knowledge into Search and use model performance to guide improvements. You Might Thrive in This Role If You Have - Deep experience in knowledge extraction, knowledge graphs, entity resolution, or related work that derives structure from large, heterogeneous datasets. - Strong machine learning and research skills, with experience developing and evaluating methods for real-world data. - A track record of building or scaling data and ML systems, particularly for web-scale extraction, indexing, or retrieval. - Experience independently driving open-ended technical problems from an initial idea through experimentation and implementation. - A first-principles approach to using AI and compute, with a willingness to rethink established methods as model capabilities improve. - A strong interest in how the representation of information shapes what models can find, understand, and use. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Backend Software Engineer, Cooperative AI (Evals)
About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: - Design eval pipelines that are reliable, reproducible, and extendable - Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation - Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems - Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. - Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows - Own the full development lifecycle of new backend systems and internal platform capabilities - Build with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have: - 4+ years of backend engineering experience at product-driven companies (excluding internships) - Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres - Experience designing and scaling distributed systems, APIs, or data processing pipelines - Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding - Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context. - Experience creating production evals and/or measuring performance of ML/LLM models at scale - A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Applied AI Engineer, API Platform, Digital Natives
About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our NYC office. 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: - Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API. - Forge relationships with CTOs, AI Product and engineering leaders to ensure their application’s successful deployment at scale. - Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. - Build targeted prototypes, pilots, and model evaluations with customer teams to test product ideas, guide architecture decisions, and inform their product roadmaps. - Collaborate with our Product and Research teams in validating upcoming frontier AI capabilities in customer environments, and deliver high-signal feedback to steer OpenAI’s roadmap. - Scale the Applied AI Engineer function through sharing knowledge and publishing best-practices to our internal and external repositories. - Evaluate emerging model capabilities, developer tools, and implementation patterns, and translate relevant advances into practical recommendations for customer applications. - Work alongside customer teams through on-site workshops and implementation sessions, helping resolve technical challenges and strengthen relationships. This includes occasional travel. You’ll thrive in this role if you: - Bring 8+ years of deep, hands-on technical experience and an eagerness to work closely with customers. Our team consists of former startup founders, software and ML engineers, technical product managers and solution architects. - Have a track record of personally leading complex, production-scale AI/ML systems from ambiguous discovery through production deployment, adoption, and measurable business impact. - Are passionate about being on the forefront of the latest AI industry trends, incl. agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security. - Are proficient in Python, JavaScript, TypeScript, or similar languages and are comfortable building production-quality prototypes and reference implementations. - Demonstrate strong technical judgment: know when to go deep personally, when to mobilize specialists, and how to make clear recommendations with incomplete information. - Have a humble attitude and an eagerness to help others with empathy. - Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. - Thrive in dynamic environments and can navigate ambiguity with ease. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At 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.
Member of Technical Staff (Machine Learning Resear...
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available - Architect and build core components of the search platform and model stack - Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models - Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval - Deploy models — from boosting algorithms to LLMs — in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models - Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications - Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR) - Self-driven, with a strong sense of ownership and execution - Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
Senior Data Scientist
At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K , one of the top-selling franchises in the world, and legendary titles like BioShock® , Borderlands® , Mafia , Sid Meier’s Civilization ® , and XCOM® , as well as fan favorites WWE® 2K , TopSpin® , and PGA TOUR® 2K . We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need The Senior Data Scientist (P5) is a senior individual contributor who turns ambiguous business problems from marketing, product, and commercial teams into models and experiments the business can trust and act on. The role owns the data science systems behind that work — keeping models reliable in production and experiments methodologically sound — and serves as the technical lead on the highest-stakes projects. The Senior Data Scientist works with significant independence while partnering closely with senior stakeholders. What You’ll Do - Technical Architecture & System Ownership: Own the design, reliability, and long-term availability of end-to-end Data Science systems, accounting for performance and technical bottlenecks in production-grade predictive models and AI solutions. - Experimental Frameworks: Architect rigorous experimental systems across cross-functional teams, ensuring validation methods are standardized, repeatable, and scalable. - Business Insight & Problem Definition: Partner closely with marketing, product, and commercial teams to diagnose business challenges — spanning areas such as gamer engagement, marketing efficiency measurement, and regional strategy — and define appropriate metrics, analyses, and interpretations to drive strategic decisions. - Statistical & Predictive Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models and AI solutions used for marketing spend optimization, product growth, and player engagement. - Executive Communication & Narrative: Design clear, unambiguous narratives and visualizations to communicate complex data initiatives to broad, non-technical audiences up to the executive level. - Collaboration & Cross-Functional Partnership: Work closely with peers across the broader data and analytics organization toward shared goals — aligning on data sources, standards, and priorities early, and sharing knowledge so the whole team's work compounds rather than duplicates. - Technical Consultation: Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific business contexts. Core Competencies - Behavioral: Solution-oriented, creative problem solver, and self-starter; proactively identifies potential issues; builds compelling narratives from raw data; collaborative and genuinely invested in the work of cross-functional partners. - Functional / Technical: Advanced R or Python programming ability for sophisticated multi-dimensional data sets; advanced SQL “data carpentry” skills across modern data warehouse environments; able to independently implement advanced predictive models. - Strategic Influence: Strong understanding of the business and the context surrounding business asks; ability to bridge technical and business needs and influence product, marketing, and commercial strategy through data-backed evidence at all levels of the organization. Required Qualifications, Knowledge, and Job-Related Skills - Education: BSc, MSc, or PhD in Mathematics, Statistics, Economics, Computer Science, Data Science, Engineering, or another quantitative field. - Experience: 3–5 years of professional experience in data science or machine learning, building models with complex datasets, with a consistent track record of business impact. - Data Systems: Proven experience in relational databases and SQL; ability to work independently within a data warehouse environment. - Methodological Depth: Cognizant of the pros and cons of common methodologies; demonstrated ability to apply various modeling approaches and iterate based on performance. - Communication: Excellent verbal and written communication skills with a track record of cross-functional collaboration and presenting to senior stakeholders. What Will Make You A Great Fit - Experience in the game-related tech industry (e.g., FAANG, other game companies, etc.). - Experience with Bayesian modeling and causal inference tools such as RStan and CausalImpact, or their Python equivalents. This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Other tasks and duties may be assigned or reassigned as needed. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.
Senior Data Scientist, Transparency & Regulatory
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are looking for a Senior Data Scientist, Transparency and Regulatory, to join the Analytics team, where you will own the data and drive data tooling behind transparency reports Epic publishes under regulations such as the DSA, and support risk assessments, audits, compliance assessments, and other compliance reporting. You'll work with Legal, Compliance, Trust and Safety, and data engineering to turn regulatory requirements into clear metric definitions, bring in the figures other teams hold, and check every number before it is published. In this role, you will - Own the data for transparency reports, risk assessments, and other compliance reporting across our products like Fortnite, the Epic Games Store, and Fab; from data requests to published figures - Work with Legal, Compliance, Engineering, and Trust and Safety policy teams to turn regulatory text into productionalized metric definitions - Map Epic's internal moderation data to regulatory categories, and work with product and engineering teams so new features capture what a regulatory report may need before launch - Partner with Data Engineering to drive the templates and validation tooling that other teams use to submit their data - Review the reporting pipeline's data quality checks every month, and work with Data Engineering to fix drift and defects, and add new moderation flows - Drive reporting methodology in partnership with leadership across the company What we're looking for - 5+ years of professional experience as a Data Scientist or in a related field, including 2+ years with Trust and Safety, integrity, risk, compliance, or regulatory reporting data - Expertise with SQL, Python, and big data technologies such as Spark or Databricks - Experience turning legal, policy, or regulatory language into precise metric definitions, documented well enough for someone else to audit - Hands-on work on transparency reports or similar regulatory reporting (DSA, COPPA, audits, etc), delivering a recurring, deadline-bound report that depends on data from other teams - Strong written and verbal communication skills with experience writing data specifications for engineers and presenting to Legal, Compliance, and senior leadership - Experience with content moderation or child safety data, such as notices, appeals, statements of reasons, or age assurance - Experience supporting an internal audit, a controls review, or a regulator's request for information - Experience with data visualization, code version control (GitHub or similar), and orchestration (Airflow or similar) - Experience using Al in daily data work and building Al tools or agents for documentation, reconciliation, or review work - Passion for the gaming industry This role is open to multiple locations across the US (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). New York City Base Pay Range $181,477 - $266,166 USD California Base Pay Range $159,700 - $234,226 USD Washington Base Pay Range $145,181 - $212,933 USD ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
AI Product Manager, Growth Marketing
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Truly unique opportunity to shape and scale self-optimizing paid marketing systems for Growth. This role exists to turn our performance marketing experimentation program from a prototype into the operating system. The opportunity calls for deep paid-growth expertise and a strong grasp of how channel mechanics, audiences, creative, measurement, experimentation, and automation fit together. You’ll set the strategy and operating model, and guide the agentic infrastructure that brings it to life. You’ll partner with BizOps, Strat Fin, Growth, Ecosystems, and Marketing across Meta, LinkedIn, Google, and ChatGPT, interpreting always-on geo, cohort, creative, and spend signals in context. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: - By day 90: - Map how geo, audience, creative, spend, measurement, experimentation, and platform constraints interact; establish an operating model that turns those signals into hypotheses, tests, and clear kill/scale decisions, with agents supporting execution. - Build a deep understanding of onboarding and activation, and how paid acquisition connects to downstream user quality; partner with Growth PM and Ecosystems PM on meaningful improvements. - Establish how AI and agents can strengthen the end-to-end decision system—from analysis and hypothesis generation to creative and audience development, experiment QA, and reusable workflows—improving decision quality, not only execution speed. - By the end of year one: - Graduate the program from managing the experimental budget to managing the majority of paid spend, while maintaining efficiency and Notion’s quality bar for ad creative. - Establish stronger measurement and a clear, connected view of which experiments move which metrics, why they work, and how results vary by user cohort; use that understanding to shape more personalized experiences. - Turn the system into a repeatable model for Demand Generation, raising the standard for experimentation, measurement, and agentic marketing infrastructure across the organization. Skills You'll Need to Bring: - Strong systems fluency across APIs, automation pipelines, and agentic systems. You can see how platform integrations, data, measurement, workflows, and constraints fit together; shape sound architecture and tradeoffs; and partner credibly with technical teams to make the system reliable. - Deep paid-growth subject matter expertise across platforms such as Meta, LinkedIn, and Google. You understand how channel mechanics, budgets, audiences, creative, and performance interact, and can connect those dynamics to real marketing outcomes. - Expert measurement and performance-analysis judgment: you can interpret geo, cohort, creative, and spend signals in context, identify meaningful patterns, understand what is driving them, and make clear kill/scale decisions. - Strong product and systems judgment across technical and marketing domains, with the ability to connect the parts into a coherent strategy and translate an ambiguous frontier into a system with a high quality bar. - High-agency cross-functional ownership: you can work across BizOps, Strat Fin, Growth, Ecosystems, and Marketing to align decisions and deliver the full loop from strategy through operating model and infrastructure to outcomes. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $191,000 - $225,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Strategic Partnerships Lead / Director
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX; San Francisco, CA; New York City About the role The web is undergoing a structural transition from a search-first economy to an AI-mediated, agentic ecosystem. Cloudflare sits in front of more than 20% of the world's web traffic, providing an unmatched, front-row view of how Large Language Models (LLMs), AI bots, and autonomous agents interact with digital content. We are seeking a Strategic Partnerships Lead / Director to join Cloudflare’s Strategic Partnerships team. In this high-impact, zero-to-one role, you will define and execute our strategy to transform Cloudflare’s rich network and CDN data into actionable business, marketing, and Answer Engine Optimization (AEO) intelligence. What you'll do You will act as the crucial bridge between enterprise customers, Product & Engineering, and Go-To-Market (GTM) teams. Your mission is to build and commercialize the "Analytics of the Agentic Era"—helping non-technical business leaders, CMOs, and digital publishers measure content value, track agentic traffic, and optimize brand visibility across AI answer engines. Responsibilities 1. Product Influence & Analytics Suite Definition - Partner closely with Product Management and Engineering to translate raw CDN, bot, and network traffic signals into executive-ready dashboards and commercial analytics products. - Help design first-party analytics tools tailored for business personas—focusing on metrics like scraping-to-referral ratios, prompt library integrations, LLM brand presence, and content gap analysis. - Run design partner programs with top enterprise customers and media brands to gather feedback, validate feature roadmaps, and co-develop analytics prototypes. 2. GTM Strategy & Sales Enablement - Collaborate with Cloudflare’s Enterprise Sales and GTM teams to package, price, and position the Advanced Analytics Suite for commercial buyers. - Create sales playbooks, value frameworks, and pitch materials that translate complex technical infrastructure data into compelling business stories for non-technical buyers. - Serve as a domain expert in high-stakes customer meetings, executive briefing centers (EBCs), and pilot programs. 3. Expanding the Buyer Horizon Beyond CISOs - Champion Cloudflare’s strategic positioning beyond security (CISOs) and infrastructure (CTOs), actively expanding our mindshare among CMOs, digital strategists, and commercial leaders. - Educate external stakeholders on critical concepts in the agentic web, such as Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and synthetic web traffic attribution. 4. Ecosystem & Strategic Alliances - Identify, evaluate, and structure strategic partnerships with adjacent players in the marketing tech and AI ecosystem (e.g., AEO measurement platforms, attribution providers, AI ad networks, and commercial data platforms). - Leverage ecosystem relationships to enrich Cloudflare’s analytics capabilities and build joint go-to-market motions. Desirable Skills, Knowledge, and Experience: - 10+ Years of Experience: Demonstrated track record in strategic partnerships, business development, product marketing, or strategy within digital media, martech, web analytics, or data platform ecosystems. - Technical + Commercial Fluency: Exceptional ability to understand complex technical infrastructure (CDNs, bot management, traffic logs, APIs) while possessing a keen empathy for marketing and business mechanics (KPIs, CAC/LTV, attribution, content monetization). - 0-to-1 Builder Mindset: Proven experience taking early-stage, ambiguous product concepts from ideation to scaled commercial distribution. - C-Suite Storytelling & Communication: Superior written and verbal communication skills, with a track record of presenting to C-level executives (CMOs, CEOs) and simplifying complex developer concepts into strategic business imperatives. - Cross-Functional Leadership: Strong experience orchestrating alignment across engineering, product management, sales, legal, and executive leadership teams. - Location: Based in or willing to work hybrid from our San Francisco, CA or New York, NY or Austin, TX offices. Compensation Compensation may be adjusted depending on work location. - For San Francisco based hires: Estimated annual salary of $195,000 - $268,000 - For New York City based hires: Estimated annual salary of $186,000 - $255,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Data Scientist, Transparency & Regulatory
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are looking for a Senior Data Scientist, Transparency and Regulatory, to join the Analytics team, where you will own the data and drive data tooling behind transparency reports Epic publishes under regulations such as the DSA, and support risk assessments, audits, compliance assessments, and other compliance reporting. You'll work with Legal, Compliance, Trust and Safety, and data engineering to turn regulatory requirements into clear metric definitions, bring in the figures other teams hold, and check every number before it is published. In this role, you will - Own the data for transparency reports, risk assessments, and other compliance reporting across our products like Fortnite, the Epic Games Store, and Fab; from data requests to published figures - Work with Legal, Compliance, Engineering, and Trust and Safety policy teams to turn regulatory text into productionalized metric definitions - Map Epic's internal moderation data to regulatory categories, and work with product and engineering teams so new features capture what a regulatory report may need before launch - Partner with Data Engineering to drive the templates and validation tooling that other teams use to submit their data - Review the reporting pipeline's data quality checks every month, and work with Data Engineering to fix drift and defects, and add new moderation flows - Drive reporting methodology in partnership with leadership across the company What we're looking for - 5+ years of professional experience as a Data Scientist or in a related field, including 2+ years with Trust and Safety, integrity, risk, compliance, or regulatory reporting data - Expertise with SQL, Python, and big data technologies such as Spark or Databricks - Experience turning legal, policy, or regulatory language into precise metric definitions, documented well enough for someone else to audit - Hands-on work on transparency reports or similar regulatory reporting (DSA, COPPA, audits, etc), delivering a recurring, deadline-bound report that depends on data from other teams - Strong written and verbal communication skills with experience writing data specifications for engineers and presenting to Legal, Compliance, and senior leadership - Experience with content moderation or child safety data, such as notices, appeals, statements of reasons, or age assurance - Experience supporting an internal audit, a controls review, or a regulator's request for information - Experience with data visualization, code version control (GitHub or similar), and orchestration (Airflow or similar) - Experience using Al in daily data work and building Al tools or agents for documentation, reconciliation, or review work - Passion for the gaming industry EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Senior Machine Learning Engineer, Discovery Recomm...
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking. Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from. In this role, you will - Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery - Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog - Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment - Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics - Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures What we're looking for - 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context - Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking) - Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems - Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred) - Comfort working in a cloud-based ML environment - Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation - Experience with content understanding models (NLP, vision, or generative AI) used as ranking features - Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives - Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS - Passion for video games and/or experience with gaming analytics EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
AI Engineer
About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The SandboxAQ AI team is looking for an AI Engineer to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects: - Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc. - Quality: Measuring ROI of agents and suggesting improvements - Collaboration: Bringing humans and agents together into one place with shared context A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production. This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. Key Responsibilities - Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively. - Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks. - Work closely with Product and Research to translate AI research into applicable features and software engineering projects. - Rapidly iterate on prototypes and features based on feedback and evolving product needs. - Contribute production ready code, working across engineering to deliver scalable software. - Stay on the edge of the latest agentic developments and explore new opportunities. Essential Skills & Experience - MSc in Computer Science or related field with exposure to AI/ML. - Deep expertise in AI/ML, software engineering, or AI security. - Strong programming skills in Python, and relevant ML and/or agentic frameworks. - Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes. - Ability to pick up other programming languages and technologies as required to ship scalable and reliable software. Highly Desired Skills & Experience - PhD in Computer Science or related field with focus on AI/ML or similar. - Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse. - Experience contributing to open source projects. - Experience in a fast-paced startup environment. - Experience in cybersecurity is a plus, but not essential. Why Join Us? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews
Manager, AI Engineering
About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The SandboxAQ AI team is looking for a hands-on Manager, AI Engineering to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects: - Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc. - Quality: Measuring ROI of agents and suggesting improvements - Collaboration: Bringing humans and agents together into one place with shared context A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production. This is a hands-on leadership role where you’ll break things, fix them and then harden them for good while also leading a small team of engineers. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles. You will help set technical direction, raise the quality bar, mentor team members, and ensure that the team moves quickly from research insight to real-world product impact. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. Key Responsibilities - Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research. - Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership, low-ego collaboration, thoughtful experimentation, and high standards. - Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, while staying current on the latest agentic developments and identifying new opportunities. - Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning, and rapidly iterate on prototypes and features based on feedback and evolving product needs. - Work closely with Product and Research to translate AI research into applicable features and software engineering projects. - Contribute production-ready code and technical designs, working across engineering to deliver scalable, reliable software. Essential Skills & Experience - BSc in Computer Science or related field with exposure to AI/ML. - Deep expertise in AI/ML, software engineering, or AI security. - Strong programming skills in Python, and relevant ML and/or agentic frameworks. - Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes. - Ability to pick up other programming languages and technologies as required to ship scalable and reliable software. Highly Desired Skills & Experience - PhD in Computer Science or related field with focus on AI/ML or similar. - Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse. - Experience contributing to open source projects. - Experience in a fast-paced startup environment. - Experience in cybersecurity is a plus, but not essential. Why Join Us? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Career Defining Work : Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews
Software Engineer (Golang), Serverless Containers
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you build it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Build the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Software Engineer (Golang), Fleet Delivery
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE A datacenter is not a cloud until software makes it one. You will build the software that turns arriving hardware into accepted clusters. Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe. This is a hands-on engineering role at the intersection of hardware and software. Most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on. WHAT YOU WILL DO - Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install. - Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first. - Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery. - Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring. - Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments. WHAT WE'RE LOOKING FOR - You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it. - Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram. - 5+ years building backend or infrastructure systems. - Deep Linux: you are comfortable well below the application layer. - You have shipped production systems in Go. Not dabbled. Shipped. - Willing to travel to datacenter sites when the work demands it. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Revenue Operations Manager, APAC
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role We are looking for a hands-on Revenue Operations Manager to partner closely with APAC sales leadership, drive commercial planning and performance, and build a growing team focused on improving sales execution across the region. Based in Singapore, you will support a 100+ person GTM organization across Southeast Asia, ANZ, India, South Korea, and Japan. You will navigate the needs of markets at different stages of growth, balancing regional priorities with the development of consistent, scalable operating practices. As part of the global RevOps organization, you will work across analytics, systems, and operations to turn business insights and field feedback into improvements in sales execution and productivity. You will also help shape how we leverage AI and automation to simplify processes, reduce manual work, and enable our sales teams to move faster. Key responsibilities - Partner with regional leadership on commercial strategy. Evaluate growth opportunities and business performance across APAC markets, translate regional objectives into quarterly priorities, and recommend where to focus sales resources and investments. - Own territory planning and execution. Lead territory design, rollout and ongoing management with Sales and global RevOps; align account allocation to market potential, seller capacity and ramp, and resolve coverage gaps. - Drive capacity and quota planning. Partner with Sales, Finance and RevOps on headcount, capacity and regional quotas; translate plans into territory targets and track attainment. - Shape regional pipeline targets. Partner with Sales and Marketing to establish pipeline creation and coverage targets, identify gaps across markets and segments, and develop targeted actions to improve pipeline health and conversion. - Run the regional operating cadence. Lead weekly, monthly and quarterly business reviews that produce decisions, owners and deadlines; track performance, escalate blockers and close out actions. - Strengthen forecast discipline. Challenge assumptions with sales leaders and managers, inspect changes and surface risks, slippage and upside early. - Improve productivity through AI and automation. Gather seller and leadership feedback, prioritize opportunities with GTM Systems, define requirements, pilot improvements and measure adoption, time saved and execution speed. - Deliver cross-functional change. Represent APAC in global initiatives, surface regional business needs to global teams, and coordinate implementation and adoption across Sales, Finance, Marketing, Enablement, and GTM Systems. Must-haves - Experience leading and developing sales operations, revenue operations or commercial business partnership teams across the APAC region - A track record of translating analysis into action and measurable results. - Credibility with senior sales leaders and the ability to influence decisions without formal authority. - Strong commercial judgment across territories, capacity, quotas, pipeline, forecasting and seller productivity. - Experience delivering cross-functional improvements in a growing B2B technology business. - Ability to operate independently, prioritize competing business needs, and drive execution in a fast-paced, evolving organization. Nice-to-haves - Experience supporting sales organizations across multiple APAC markets. - Experience building and scaling commercial operations in a high-growth organization. - Experience identifying and implementing process improvements through automation and AI. Foundational skills - Analytical problem solving. - Clear communication and constructive challenge. - Prioritization, ownership and follow-through. - Coaching and delegation. - Process improvement and AI/automation judgment. What success looks like - Regional leaders have clear priorities backed by evidence and practical action plans. - Territories, capacity and quotas are aligned to regional opportunity and field realities. - Pipeline and performance gaps trigger timely interventions with measured outcomes. - Business reviews consistently produce decisions and completed follow-up. - Business partners earn leaders’ trust and operate with increasing independence. - Seller feedback leads to adopted process improvements that save time and accelerate execution. - Regional feedback improves global priorities, and global initiatives are used effectively in the field. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Logistics Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Build and scale the logistics capabilities that enable Mistral AI to deploy, operate and expand high-density compute infrastructure reliably. Own the flow, custody, traceability and readiness of high-value hardware, critical spares and associated materials - from supplier dispatch through site receipt, storage, deployment, repair and end-of-life disposition. Deliver speed without compromising safety, inventory integrity, security or cost control. Operating context & accountability You will coordinate closely with Data Center Operations, IT Operations, deployment teams, Procurement, Finance, Security, Safety, colocation operators, carriers and OEM service partners. The role owns Mistral logistics processes and supplier performance. Key responsibilities - deployment logistics and site readiness - Plan inbound and outbound movements for accelerator servers, racks, networking equipment, CDUs, replacement parts, tooling and deployment consumables across sites and staging locations. - Translate deployment schedules and bill-of-materials requirements into shipment plans, delivery windows, site receiving capacity, material availability and clear responsibility assignments. - Coordinate with business partners and site teams on loading bays, access approvals, delivery routes, floor loading, rack handling, lift plans, packaging removal, temporary storage and installation sequencing. - Identify logistics dependencies that could delay energization, commissioning, rack acceptance or compute availability; maintain escalation paths, contingency plans and recovery actions. - Create consistent procedures for goods receipt, inspection, damage recording, quarantine, staging, pick/pack, handover and proof of delivery, including exceptions and nonconformances. - Manage reverse logistics for defective equipment, repair exchanges, warranty returns, redeployments and end-of-life assets, with documented chain of custody and secure disposition. Key responsibilities - inventory, spares and asset traceability - Define and maintain an accurate inventory and asset-control framework for Mistral-owned equipment, including serialized items, location, ownership, status, movement history and reconciliation with IT asset records. - Set and monitor critical spare-parts policies with IT Operations and OEM partners: minimum/maximum stock, lead times, failure demand, replenishment triggers, shelf-life and obsolescence exposure. - Establish auditable stock movements, cycle counts, physical inventories, discrepancy investigations and controls for high-value or sensitive components. - Monitor stock health, aging, availability, stranded inventory, shrinkage and repair turnaround; use evidence to optimize local versus regional stocking decisions. - Coordinate secure storage conditions, ESD-sensitive handling, environmental requirements, battery transport/storage rules where applicable, and restricted access to valuable hardware. - Develop common inventory taxonomy, operating procedures and system integrations to support growth across sites, providers and countries. Key responsibilities - supplier, transport and commercial performance - Oversee third-party logistics providers, freight forwarders, warehouses, specialist rigging partners and couriers against agreed service levels, security controls and escalation requirements. - Work with Procurement and Legal on supplier selection, scopes of work, insurance, liability, transport terms and measurable performance expectations. - Coordinate cross-border shipping requirements with qualified customs and trade-compliance specialists, including import/export documentation, duties, restricted goods and relevant sanctions/export controls. - Monitor freight, warehousing, handling, repair and expedite costs; challenge avoidable spend while protecting deployment dates and service restoration capability. - Lead supplier performance reviews, delivery-failure investigations and corrective action follow-up; develop alternative routes and providers for critical supply chains. - Maintain reliable forecasting and reporting of expected arrivals, shortages, inventory exposure, blocked shipments, deployment readiness and outstanding returns. Key responsibilities - safety, resilience and cross-functional execution - Partner with Safety and site teams to assess high-risk material handling, rack moves, lifting/rigging, traffic management and contractor interfaces; verify that required plans and competent resources are in place. - Coordinate physical-security requirements, access permissions, tamper evidence and chain of custody for sensitive or high-value technology. - Develop practical business-continuity plans for shipment disruption, customs holds, supplier shortages, loss or damage in transit, and urgent hardware replacement needs. - Work with IT Operations and OEM service partners to prioritize material flows during incidents and reduce mean time to restore affected compute capacity. - Create clear operating rhythms and decision records across engineering, deployment, site teams and suppliers; escalate risks early and close actions with evidence. Team Leadership & Organizational Development - Build, lead, and scale the team across regions, aligning organizational capabilities, staffing levels, and resources with Mistral AI’s growth trajectory and operational requirements. - Supervise, coordinate, and support team members, ensuring clear accountability, effective collaboration, and consistent execution of responsibilities. - Define the organizational structure, roles, responsibilities, and resource allocation required to support current operations and future expansion. Recruit, onboard, develop, and retain high-performing professionals, ensuring the team possesses the technical expertise and capabilities required to meet business objectives. - Establish clear performance expectations, measurable objectives, and development plans; conduct regular performance reviews and provide constructive feedback and coaching. - Drive standardization of processes, procedures, and best practices across regions while accommodating local operational and regulatory requirements. - Foster a culture of ownership, accountability, continuous improvement, knowledge sharing, and operational excellence. Collaborate with cross-functional leaders to anticipate resource requirements, address organizational gaps, and ensure effective coordination across teams. - Develop succession plans and strengthen internal capabilities to support organizational resilience and long-term scalability. - Manage team priorities, workload distribution, and resource planning, ensuring effective execution while maintaining quality, safety, and operational efficiency. What success looks like - Critical hardware and materials arrive complete, traceable, secure and ready for deployment when needed. - Inventory accuracy is consistently high, with timely reconciliation and documented custody for valuable assets. - Critical spare parts are available according to risk-based targets, reducing restoration delays and avoidable downtime. - Logistics exceptions, shipment damage, deployment blockers and supplier failures are identified early and resolved with measurable corrective actions. - Logistics processes scale across new sites without sacrificing safety, compliance, cost discipline or execution speed. Minimum qualifications - At least 5 years of relevant experience in logistics, supply chain, warehouse operations, hardware deployment or inventory management in a complex technical environment. - Hands-on experience coordinating high-value equipment shipments, third-party service providers, site receiving, stock controls and reverse logistics. - Ability to establish auditable inventory processes, analyze operational data, manage exceptions and deliver against demanding deployment timelines. - Working knowledge of transport, handling and workplace safety requirements; ability to engage relevant specialists on customs and international trade compliance. - Strong cross-functional communication, supplier management and problem-solving skills; professional English and willingness to travel to operational sites. Preferred qualifications - Experience supporting data centers, AI/HPC infrastructure, hyperscale hardware deployments, enterprise IT logistics or complex industrial equipment. - Familiarity with serialized GPU/server assets, rack-scale systems, networking equipment, specialist lifting and ESD-sensitive components. - Experience implementing warehouse management, enterprise resource planning or IT asset-management systems and inventory dashboards. - Experience with international shipping, freight forwarding, customs interfaces, repair/RMA workflows and multi-site critical spares strategies. - Experience improving supplier performance, stock availability, forecast accuracy and logistics cost-to-serve. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Design & Reliability Engineering Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Data Center Operations Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Mistral is seeking a Data Center Operations Manager to oversee the build, run, and operational excellence of our data centers in the Paris Region. This role is critical to ensuring the reliability, security, and efficiency of our HPC infrastructure as we scale our AI capabilities. Primary Location: Besse-sur-Braye Key Responsibilities • Lead the operational management of Mistral’s data centers ensuring seamless coordination and high availability. • Organise and manage onsite operations, technical support, maintenance, and emergency response to ensure 24/7 reliability. • Coordinate hardware deployment, upgrades, and decommissioning with third-party suppliers, ensuring alignment with project timelines. • Follow industry best practices to ensure high-quality installations and adherence to security protocols, contractual obligations, and regulatory requirements. • Oversee ticketing systems for incident resolution, ensuring timely communication and stakeholder updates. • Manage inventory of spare parts and logistics to minimise downtime and maintain operational continuity. • Problem-solve technical issues and mediate challenges to ensure maximum uptime and performance of data center resources. • Provide regular updates to internal and external stakeholders on operational status, risks, and improvements. • Manage local contracts with DC providers and OEM. • Manage the site’s annual operating budget (OpEx) for utilities, maintenance services, and consumables, driving site cost efficiency. • Establish, implement, and enforce robust Health, Safety, and Environmental (HSE) policies and protocols for all site personnel, contractors, and visitors, ensuring compliance with local regulations. • Identify and implement opportunities for the automation of routine operations tasks (e.g., alert handling, reporting, and asset tracking) to improve team efficiency. Qualifications & Experience • Degree in Computer Science, Electrical/Mechanical Engineering, or related field, or equivalent experience, with a strong understanding of data center technical requirements and operations. • Proven track record in data center operations, hardware management, or infrastructure support, preferably in HPC or cloud environments. • Experience managing large-scale infrastructure projects, including build-outs, migrations, or upgrades. • Strong ability to coordinate and lead vendors, contractors, and internal teams, including review, escalation, and contractual engagement. • Comfortable with contract negotiation and management. • Hands-on troubleshooting skills and ability to work and lead in critical situations and aggressive timelines. • Knowledge of data center security standards (physical and digital) and compliance requirements. • Relevant professional certifications such as CDCP, CDCE, or ITIL v4 are highly desired. • Language Skills: Fluency in English and French. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Critical Infrastructure Engineering Lead
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Software Engineer (Golang), Storage
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build storage on our cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you help decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. Storage is a strategic bet for this org: the systems you build will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Build the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Design and write our own services in Go: S3-compatible APIs, tiering, backup and recovery, caching layers. - Own the data plane: allocation, duplication, tiering, backup and recovery. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Data Centre Safety Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Build and lead a practical, high-trust health and safety program for Mistral AI’s rapidly expanding data center operations. You will protect employees, contractors and visitors while enabling safe deployment and operation of increasingly dense AI compute infrastructure across colocation sites. You will turn complex operational risks into clear standards, effective controls and measurable improvements. Operating context & accountability You will be the safety partner to Data Center Operations, IT Operations, infrastructure delivery, Security, Legal and People teams, and work directly with colocation operators, installation contractors and OEM service partners. Your remit spans live sites, deployment projects, commissioning and transitions into operations. You will ensure that safety responsibilities are clearly defined and that Mistral-controlled activities meet applicable requirements while challenging partner performance where shared interfaces create risk. Key responsibilities - safety management and compliance - Own the operational health and safety management framework for the data center portfolio: policy, critical-risk standards, annual objectives, assurance calendar, risk registers, incident classifications, documentation and management reporting. - Interpret applicable occupational health and safety requirements with local specialists; translate them into site-level expectations, control plans and auditable evidence across different countries. - Lead regular risk assessments, inspections and assurance reviews; prioritize findings by severity and exposure, assign owners and verify corrective actions have actually reduced risk. - Create consistent arrangements for site access, inductions, competency checks, contractor onboarding, safety briefings and refresher training, including evidence of completion. - Develop meaningful leading and lagging indicators, including high-potential near misses, overdue critical actions, training coverage, contractor observations and incident trends; present clear recommendations to leadership. - Support supplier selection and contract reviews by defining appropriate safety requirements, escalation expectations and minimum standards for colocation and technical service partners. Key responsibilities - operational and technical risk - Provide safety oversight for electrical work interfaces, energized equipment, isolation and lockout/tagout, switching coordination, arc-flash exposure and simultaneous activities in live data halls. - Assess safe systems of work for heavy rack deliveries, lifting and rigging, material handling, battery systems, working at height, temporary works, confined spaces where relevant and high-density IT installation. - Review method statements, risk assessments, permits to work and job safety analyses for high-risk activities, ensuring that scope, boundaries, competence, emergency arrangements and hold points are understood. - Partner with engineering teams on the risks introduced by direct-to-chip liquid cooling, CDUs, coolant handling, pressurized circuits, leak detection, hot surfaces and changing rack densities. - Participate in readiness reviews before energization, commissioning, major deployments and changes in operating configuration; confirm critical safety issues are resolved or escalated before work proceeds. - Coordinate emergency planning and drills with colocation operators and emergency responders for fire, evacuation, electrical incidents, coolant leaks, medical emergencies and loss of critical infrastructure. Key responsibilities - investigations and culture - Lead or coordinate investigations of incidents, unsafe conditions and high-potential near misses involving Mistral activities; use structured causal analysis and share actionable learning across the portfolio. - Challenge the completeness and quality of provider or contractor investigations when Mistral personnel or equipment may be exposed; track preventive measures through verification. - Coach engineers, managers and vendors to identify hazards early, stop unsafe Mistral-controlled work and raise concerns without hesitation. - Build strong partnerships with operations, construction, logistics, physical security, compliance and HR; communicate safety expectations clearly in written guidance, training and site discussions. - Provide practical support to other regions during major incidents, rapid expansion or unusual operational risk. What success looks like - Critical activities are governed by clear, adopted controls and a consistent standard across sites. - High-severity findings are visible, owned and resolved; incident learning results in verified preventive action. - Site and contractor training, emergency readiness and compliance evidence are maintained and readily accessible. - The safety program scales with infrastructure growth without creating unnecessary bureaucracy. Minimum qualifications - At least 5 years of practical health and safety experience in operational, industrial, construction or mission-critical environments. - Experience implementing safety programs, contractor controls, inspections, risk assessments, investigations and training. - Working knowledge of occupational safety regulations and high-risk work controls; ability to coordinate country-specific requirements. - Strong communication and influencing skills across technical teams, suppliers and senior stakeholders; fluent professional English. - Ability to work regularly on site and travel between data center locations; valid driving licence where required for site access. Preferred qualifications - Data center, manufacturing, power infrastructure or complex construction experience involving employees and multiple contractors. - Experience with electrical safety, critical mechanical systems, commissioning and work in live operational facilities. - Recognized HSE qualification and familiarity with ISO 45001-based management systems. - Experience with international portfolios, colocation operators and high-density IT or liquid-cooled systems. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Enterprise Account Executive - India
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for a highly motivated, self-starter Account Executive based in India who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new high value enterprise accounts in the Customer Experience and Conversational AI Experiences spaces to help ElevenLabs meet its revenue goals. - Identify new business opportunities in that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the Conversational AI industry - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence , delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Builds plan to quota in first sales and upsells out of NAL - Experience in building a new category, company, product in a space with previously no penetration - Extensive experience in value selling a technology product, preferably in Customer Experience and Customer engagement to clients with a global footprint - Generate self-led pipeline in target list of accounts - Network and experience in the IN CX, Support and BPO industry and has sold to CXOs - Close deals and manage customer onboarding/delight - Showed previous ownership for all aspects of the customer lifecycle including onboarding, and support - Evidence of farming accounts to deliver multi-X growth - Worked at a Top tier growth company where there is a keen understanding of sales process and high degree of ownership - Drive initiatives that improve ElevenLabs consideration - Has performed sales development activities such as campaigns, events, partnerships that drive ElevenLabs consideration with customers - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the IN CX, Support and BPO industry - Proficiency in English - Plus: Network in the relevant SIs/consults Location: Bengaluru or Mumbai LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
B2B Marketing - Singapore & NE Asia
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a powerhouse Growth Marketer to own and accelerate our B2B footprint in Singapore . This isn't a traditional marketing role; we need a "jack of all trades" who can pivot from high-level campaign planning to setting up complex outbound sequences in the same afternoon. You will be the primary driver for growth in Singapore, taking full ownership of projects from inception to the final outcome. You are someone who views "chaos" as an opportunity to build and thrives when managing multiple workstreams simultaneously. Your Responsibilities - Full-Funnel Ownership: Drive the Singapore B2B growth strategy and partially tackle the North Asia markets, owning the pipeline target from lead gen to conversion. - Outbound Mastery: Set up, manage, and optimize complex outbound sequences to reach enterprise decision-makers. - Event & Campaign Execution: Organize high-impact events, webinars, and trade shows from start to finish. - Performance & Analysis: Work closely with the performance team on retargeting and ABM, while being comfortable diving deep into the numbers to analyze what’s working. - Creative Content: Craft compelling sales collateral, thought leadership content, and messaging tailored to the regional tech landscape. - Vendor & Partner Management: Identify and orchestrate top-tier local partnerships and sponsorships. Requirements - English and Mandarin Speaker. - The "Owner" Mentality: Proven track record of delivering projects from start to finish and taking full accountability for the results. - Entrepreneurial Drive: Ideally, you have founded a company, worked in an early-stage startup, or have a history of high-engagement "side quests." - Chaos Compatibility: You enjoy a fast-paced environment and have the mental bandwidth to handle multiple complex workstreams without dropping the ball. - The Growth Toolkit: Broad knowledge across performance marketing, data analysis, campaign execution, and event organization. - Bias toward Action: You are a self-starter who doesn't wait for permission to experiment and scale. - Strategic Instincts: Ability to understand our customer base and craft positioning that resonates with the Singapore market. Bonus Experience - SEO and content strategy expertise. - Design skills (Figma/Adobe Suite). - Experience with AI-native workflows. Location This role is remote-first, so it can be executed from anywhere in Singapore. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Software Engineer (Golang), Sandbox
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE AI agents don't run in browsers. They run in sandboxes — and you will build ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Software Engineer (Golang), Managed K8s
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. WHAT YOU WILL DO - Design and ship the control plane. You own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Raise the engineering bar through code review and knowledge sharing across the Cloud Platform org. WHAT WE'RE LOOKING FOR - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Enterprise Account Executive - Japan
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an Account Executive to scale our business in Japan — a highly motivated self-starter who is passionate about voice AI and how it's transforming the way businesses build and engage with their customers. We don't just sell a product; we partner with companies to help them create new experiences and unlock value at scale with our breakthrough voice technology. In this role you will: • Build and manage a growing portfolio of new accounts across industries to help ElevenLabs meet its revenue goals. • Proactively identify and generate new business opportunities that align with ElevenLabs' product offering and roadmap. • Run agile, high-velocity outbound and outreach — moving fast from first touch to close. • Negotiate contracts and close sales in collaboration with the Growth team. • Develop and maintain a deep, hands-on understanding of ElevenLabs' products and how they map to customer use cases. • Own KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Requirements • Proven track record of meeting & exceeding sales targets in a fast-paced environment, including self-sourced pipeline. • 5-7 years of previous experience in sales in a SaaS organisation. • Strong product intuition — able to learn a technical product deeply and clearly articulate its value to customers. Genuine curiosity about Voice GenAI. • A proactive, agile operator who moves fast rather than waiting for leads to come in. • Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organisation. • A hybrid customer- & product-driven mentality that prioritises client satisfaction and scale. • High fluency in Japanese; working proficiency in English. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Full-Stack Software Engineer, Experience
About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers. As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time. Responsibilities: - Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers. - Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Own integrations with billing systems and vendor APIs , designing for resiliency against outages, schema drift, and inconsistent data. - Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers. - Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible. - Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right. Requirements: Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance. You should have: - At least 2 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver APIs for a rapidly scaling product surface - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience at a SaaS company with usage-based or consumption pricing models - Experience building billing-specific features, such as usage dashboards or cost reporting - Strong familiarity with a compiled language like Rust, Go, or Java - Experience integrating with third-party financial APIs and building defensively against inconsistent or delayed data - Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Staff Software Engineer, Finance Engineering
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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities - Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill - Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks - Design and build the SDKs and frameworks that finance apps and agents build on - Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties - Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams - Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications - Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale - Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill - Experience designing relational data models and writing SQL for complex, versioned data - Experience designing APIs, SDKs and service-to-service integrations used by other teams - Experience building systems with auditability, access control or compliance requirements - Experience turning requirements from non-engineering partners into technical designs - Strong written and verbal communication, including design docs Preferred qualifications - 10+ years of experience - Experience building developer platforms or paved paths - Experience with streaming systems such as Pub/Sub or Kafka - Experience building with LLMs and agents, including MCP - Built a ledger, sub-ledger, billing or payments system - Familiarity with accounting concepts: double-entry, journal entries - Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management - Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.
Enterprise Account Executive, Professional Service...
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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to professional services firms across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with consultancies, agency and marketing services groups, law firms, and accounting and advisory firms. You'll leverage your consultative sales expertise in the professional services sector to propel revenue growth while becoming a trusted partner to professional services stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in client delivery, research and analysis, and knowledge management. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with professional services decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the professional services sector. Navigate complex professional services firms to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to professional services procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse professional services market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within client delivery teams, creative and strategy functions, research and knowledge management, and business development. Collaborate cross-functionally to differentiate our offerings for professional services applications - Navigate complex professional services stakeholder ecosystems including executives, partners and practice leaders, IT departments, risk and compliance functions, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying professional services market needs. Provide insights that strengthen our value proposition for professional services - Continuously refine the professional services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B Enterprise sales experience in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within professional services firms and securing strategic deals by understanding both technical requirements and professional services use cases - Demonstrated ability to navigate professional services organisational structures and procurement processes, building consensus among diverse stakeholders including executives, partners and practice leaders, and IT departments - Extensive experience negotiating complex agreements within professional services procurement frameworks, vendor risk and third-party assurance policies - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various professional services audiences, from practice leads and delivery teams to senior partners - Deep understanding of professional services buying cycles, decision-making processes, and key pain points, including the client confidentiality and regulatory obligations firms operate within - A strategic, analytical approach to assessing the professional services market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for professional services use The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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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