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Developer Experience Engineer, Cyber
About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-6 Astra, GPT-Live, and GPT-Image-2.5 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, Cyber, you will create technical content, developer tools, and sample applications that help developers and security teams secure the software they build and depend on. You will turn OpenAI’s cybersecurity capabilities, including Codex Security, into clear, runnable examples and useful learning experiences. You will work directly with developers, security practitioners, and technical founders to understand their needs and show how AI can improve secure development and defensive security workflows. We’re looking for a hands-on engineer who combines strong software skills, creativity, developer empathy, and curiosity about cybersecurity, and who can own projects from the first prototype through release and ongoing improvement. In this role, you will: - Build demos, sample applications, and developer tools that demonstrate practical ways to use Codex, OpenAI’s APIs, and Cyber products for secure software development and defensive workflows. - Create tutorials, blog posts, videos, and code samples that help developers understand security findings, validate and prioritize vulnerabilities, review proposed changes, and verify fixes. - Develop reference integrations that connect AI-assisted security workflows to source control, code review, and continuous integration, helping teams move from initial setup to repeatable use. - Partner with Cyber engineers and security researchers to make examples technically accurate and results understandable, with clear guidance on evidence, validation, and the limitations of model-generated findings. - Demonstrate sound security practices in examples and tooling, including appropriate permissions, credential handling, protection of sensitive code and data, and human review of agent actions. - Engage developers and security practitioners through events, workshops, and online communities, serving as an approachable technical resource and advocate. - Gather and synthesize practitioner feedback to identify friction, inform product priorities, and improve the journey from onboarding to everyday use. - Contribute directly to developer-facing interfaces, documentation, and tooling, working with product, engineering, and go-to-market partners to help users adopt and succeed with OpenAI’s developer products. Your background might look something like: - Strong engineering fundamentals and a track record of shipping useful software, developer tools, or products for technical users. - Experience building applications with AI models, APIs, or agent workflows, and translating experimentation into reliable, maintainable code. - Experience with application security, vulnerability management, secure development workflows, or security tooling. - A portfolio of technical content, compelling demos, sample applications, or developer tooling that helps others learn and build. - Strong developer empathy and the ability to explain complex technical concepts clearly through writing, code, and conversation. - Experience collaborating across engineering, product, and technical user communities, with thoughtful judgment about usability, security, and correctness. - Comfort owning ambiguous problems end to end, learning unfamiliar domains, and iterating quickly as products and user needs evolve. - A commitment to responsible AI development and an interest in helping developers use powerful capabilities safely and effectively. 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.
Solutions Marketing Manager, Healthcare & Science
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 Solutions Marketing lead for Healthcare & Science at Anthropic, you will position Claude as the trusted AI partner for clinicians, scientific researchers, health system leaders, and the broader pharmaceutical, biotech, provider, and payer ecosystem. This work matters because AI's benefit to patients, and to the people who care for them, depends on clear, credible positioning that accounts for the realities of regulated industries. You'll set vision and strategy while staying hands-on with execution, from launching and growing vertical products like Claude Science to quarterbacking demand generation campaigns that drive measurable pipeline and adoption. In this role, you'll own positioning, messaging, and go-to-market for healthcare and science launches, features, and campaigns, ensuring cohesive positioning across distinct audiences within the vertical. In your first 90 days, you'll stand up a new commercial pitch and webinars, support the GA of Claude Science and new product capabilities, and support multiple keynotes. You'll partner closely with Product and Research, go-to-market and sales teams, Comms, Brand and Design, and Enterprise Marketing across campaigns and content. Key responsibilities - Own comprehensive marketing strategy for Healthcare & Science across key verticals: pharmaceutical and biotech companies, providers and health systems, payers, medical devices, and digital health - Develop differentiated positioning and messaging across solutions webpages, campaign materials, and content for distinct audiences within the vertical - Lead go-to-market for product and solution launches, including sector-specific offerings like Claude Science and relevant MCP integrations and skills across clinical research platforms, scientific literature tools, and EHR ecosystems - Build a new commercial pitch and webinar program for healthcare and science audiences - Partner with Comms on executive thought leadership about AI's potential to accelerate scientific discovery and improve patient outcomes, including flagship announcements tied to key industry initiatives - Develop a healthcare and science content calendar with social and content teams that highlights use cases, case studies, and partnership announcements - Drive thought leadership initiatives and speaking and event opportunities relevant to healthcare and science, including keynote support - Build sales enablement materials, outbound campaigns, and pipeline-driving initiatives for healthcare and science enterprise accounts and research institutions - Manage cohesive positioning across audiences as launches, features, and messaging go to market through multiple channels - Track which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications - Have deep product marketing experience with meaningful exposure to healthcare, science, or health technology - Have worked in or with healthcare or science organizations and understand the distinct priorities and decision-making dynamics of health system, pharma, and payer buyers - Thrive in a 0-to-1 environment, building processes where none exist and navigating ambiguity across a complex stakeholder landscape - Are an adaptable generalist with competency across multiple marketing functions, including content, campaigns, social, analytics, and sales enablement - Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for clinical, scientific, and non-technical audiences - Are a quick learner who can rapidly absorb context on diverse healthcare verticals, regulatory considerations, and evidence requirements - Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams - Care about AI's potential to improve patient outcomes and accelerate scientific progress while maintaining focus on responsible, safe deployment - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - 8+ years of product marketing experience, with at least 2 years of experience working in health technology companies marketing healthcare, science, or research software products - Direct experience marketing to healthcare or scientist audiences, including familiarity with clinical, R&D, or commercial buying centers - Experience with event marketing at healthcare and science conferences such as HIMSS, HLTH, BIO, or the J.P. Morgan Healthcare Conference - A background in enterprise sales enablement, particularly in complex or regulated industries, with awareness of frameworks like HIPAA and GxP - A track record of building marketing programs from scratch at a growth-stage company - Demonstrated interest in the responsible deployment of AI in clinical and research contexts, including awareness of the ethical considerations unique to healthcare use cases - Familiarity with the competitive landscape for AI in healthcare and life sciences Role-specific policy: For this role, we expect staff to be able to work from our San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $255,000 - $320,000 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.
Solutions Marketing Manager, Cybersecurity
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 You will be a strategic contributor to our cybersecurity marketing efforts, positioning Claude as the trusted AI partner for CISOs, security operations teams, threat intelligence analysts and beyond. This is an important role that requires deep understanding of the cybersecurity ecosystem combined with the ability to craft compelling positioning and messaging around AI's benefit to defenders and the organizations they protect. Working closely with sales, product, partnerships and communications teams, you'll be responsible for bringing cybersecurity launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences. This role needs someone who can set vision and strategy while being hands-on with execution, from launching product capabilities for security operations and sector-specific tools to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI safety, the evolving threat landscape, and campaigns, you'll help shape industry conversations around AI's role in cyber defense that drive measurable pipeline and impact results. Key responsibilities - Coordinate and execute a comprehensive marketing strategy for cybersecurity across key segments: enterprise security operations, threat intelligence, detection and response, governance/risk/compliance, MSSPs and more - Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical - Support go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (SIEM, SOAR, EDR, threat intelligence platforms, etc.) - Partner with the alliances team on joint go-to-market with cybersecurity partners, including shared positioning, launch coordination, and integrated campaign moments across security platform and services partners - Partner with communications on executive thought leadership regarding AI's potential to tip the balance toward defenders, including flagship announcements in the context of key security initiatives - Work with the social and content teams on a cybersecurity content calendar that highlights use cases, case studies, and partnership announcements - Drive thought leadership initiatives and speaking / event opportunities relevant to the security community - Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for security-led enterprise accounts - Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications - Have direct experience marketing software products to security audiences, including familiarity with how CISOs, SOC leaders, and security engineering teams evaluate and buy technology - Thrive in a 0-to-1 environment — can build processes where none exist and navigate ambiguity across a complex stakeholder landscape - Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement) - Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for both technical practitioners and non-technical audiences - Are a quick learner who can absorb context on security workflows, buyer dynamics, and compliance frameworks rapidly - Excel at cross-functional collaboration — comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams - Are passionate about AI's potential to strengthen cyber defense while maintaining focus on responsible, safe deployment Preferred qualifications - Have 8+ years of marketing experience with at least 2 years of experience in cybersecurity, security operations, or the broader security technology space - Have worked in or with security organizations and understand the distinct priorities and decision-making dynamics of security buyers - Possess experience with event marketing at security conferences (e.g., RSA Conference, Black Hat, Gartner Security & Risk, ISAC events) - Have a background in enterprise sales enablement, particularly in complex or regulated industries - Show a track record of building marketing programs from scratch at a growth-stage company - Demonstrate interest in the responsible deployment of AI in security contexts, including an awareness of the dual-use considerations unique to cybersecurity use cases Role-specific policy: For this role, we expect staff to be able to work from our Washington, D.C. or San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $255,000 - $320,000 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 Support Engineer - India
About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Triage and respond to inbound support tickets across self-serve and enterprise customers using a support/CRM platform; identify patterns in ticket clusters (e.g., a wave of the same error code), surface them to engineering with context and affected case lists, and follow through to resolution. - Draft clear, accurate status updates and maintenance notifications for customers during planned maintenance windows or incidents; communicate expected impact without exposing internal platform details. - Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. - Answer customer questions about the platform's API, model/fine-tuning workflows, model availability, and deployment/endpoint configuration; reproduce reported errors to confirm expected vs. broken behavior and provide actionable next steps. - Provision and configure SSO connections for enterprise customers (Google Workspace, Okta, Azure AD, etc.); guide customers through IdP-side setup steps; diagnose login failures by cross-referencing the platform's identity provider configuration against the customer's; escalate confirmed platform-side gaps. - Triage customer billing questions using billing/subscription tooling (e.g., Stripe, Metronome, or equivalent); process or coordinate refunds for prepaid credits and disputed charges; investigate negative-balance and credit-limit enforcement issues; escalate edge cases to the billing/finance team with full context. - Resolve API key creation failures, org linkage issues, and project/key limit requests; coordinate user access changes (adding/removing org members, SSO org ownership transfers); investigate tenant isolation issues. Requirements - 2+ years of experience in a customer-facing technical role - Comfortable reading and writing curl/HTTP requests, interpreting JSON error responses, and understanding concepts like bearer tokens, rate limits, and API key scoping; no deep software engineering background required, but must be able to follow and reproduce API-level issues. - Familiarity with how SaaS billing works (invoices, prepaid credits, refunds); comfortable navigating admin dashboards and understanding what a payment state means. - Working knowledge of SAML and OIDC concepts (ACS URL, audience URI, attribute mapping, IdP vs. SP); enough to walk a customer's IT admin through a configuration and recognize whether an error is on the customer side or platform side. - Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages. - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. - Prior experience with a customer support platform (Zendesk, Intercom, Pylon, Freshdesk, or similar); comfortable managing a queue, updating ticket state, and writing internal notes. - Familiarity with how language model APIs work (tokens, context windows, serverless vs. dedicated inference) - Strong sense of ownership and willingness to learn new skills to ensure both team and customer success. - Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization. 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 in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. 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
Software Engineering Manager, AI Observability & E...
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 Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About the role We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. What you'll do - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements What you'll bring - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms Annual salary range: $220,000- $270,000 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 Software Engineer — Infra Agent Systems
About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure. Responsibilities - Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets. - Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents. - Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions. - Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs. - Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations. - Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops. - Turn what agents learn in production into reliable, reviewed software and automation. Requirements - 5+ years of experience building production backend systems, distributed systems, or infrastructure platforms. - Strong systems design skills and experience owning significant systems from design through production. - Depth in at least one of the following: - AI agent systems, orchestration, tool use, evaluation, or grounding - Knowledge graphs or graph data modeling - Search, retrieval, ranking, RAG, or semantic search systems - Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems. - Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms. - Comfortable working across languages such as Go, TypeScript, Python, or Rust. Experience in the following is a plus: - GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers - Graph databases - Event-driven systems and messaging platforms such as NATS or Kafka - Observability platforms such as Prometheus and Grafana - Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $250,000 - $300,000 + 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 .
Applied AI Engineer, Codex
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how engineering organizations build software—not simply successful demonstrations or enablement activity. This role is based in our London 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: - Partner directly with engineering leaders and hands-on developers to identify high-value opportunities for Codex and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI-powered software development workflows that improve how engineering teams plan, write, test, review, debug, and deliver software. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators—often using Codex as part of your own development process. - Help customers progress from promising experiments to reliable production workflows, sustained developer adoption, and scaled impact across engineering organizations. - Design systematic approaches for evaluating AI coding systems using representative software engineering tasks, automated graders, production signals, and developer feedback. - Make sound technical decisions across models, agents, tools, developer environments, integrations, reliability, observability, latency, cost, safety, security, and operational readiness. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive technical blockers toward resolution. - Lead technical deep dives, workshops, and hands-on enablement that help engineering teams understand and adopt advanced AI coding workflows effectively and safely. - Gather high-fidelity insights from real-world Codex deployments and translate them into clear product proposals, model feedback, and technical requirements for OpenAI Product, Research, and Engineering teams. - Create reusable architectures, tooling, examples, guides, and technical patterns—including contributions to resources such as the OpenAI Cookbook—that accelerate future Codex deployments. - Influence customer engineering strategy by helping technical leaders understand how AI coding systems can reshape their software development lifecycle, engineering practices, and organizational workflows. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering—not only program, enablement, or stakeholder management. - Are highly proficient in Python and comfortable working across modern software development environments; experience with JavaScript, TypeScript, or another relevant language is valuable. - Are an active user of AI coding tools and have developed a strong point of view on how AI can improve developer productivity and software engineering workflows. - Enjoy building high-signal prototypes, integrations, automations, and production solutions that demonstrate and deliver what AI coding systems can enable. - Understand how to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and mechanisms for incorporating developer feedback. - Have navigated enterprise production requirements such as developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, engineering leaders, security teams, product leaders, and executives. - Are comfortable leading technical workshops and hands-on sessions that help engineering organizations adopt new development workflows and technologies. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous and rapidly evolving environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; deep prior experience with OpenAI products is not required. - Are able to speak English fluently. 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.
Staff Engineer, Distributed Storage and HPC & AI I...
About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities - Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. - Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. - Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. - Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. - Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. - Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. - Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling. Requirements - 8+ years in storage engineering, managing distributed storage at multi-petabyte scale - Proven track record deploying and operating high-performance storage for GPU/HPC clusters - Deep Kubernetes and cloud-native storage experience in production environments - Strong coding skills in Go and Python with demonstrated ability to build production-grade systems and tooling - BS/MS in Computer Science, Engineering, or equivalent practical experience - History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency - Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale - Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management - Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers - Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (TB/s aggregate cluster throughput - line saturation) - Programming: Go and Python for automation, operators, and tooling - Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD) - Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations - Observability: Prometheus, Grafana, Thanos architecture and operations Nice to Have Skills - GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations - ML/AI storage patterns (model weights, checkpointing, dataset caching) - Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace) About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. 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
Compute Solution Architect
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 ROLE As a Compute Solution Architect, you will support our strategic AI Infrastructure customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction. WHAT YOU WILL DO Your responsibilities will include: TECHNICAL CUSTOMER OWNERSHIP - Serve as the primary technical point of contact, troubleshooting and resolving issues for AI Infrastructure services. STRATEGIC CONTRACT DELIVERY - Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met, including timelines, SLAs, and support. PRODUCT AND SUPPORT COLLABORATION - Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements. GPU PERFORMANCE OPTIMIZATION - Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability. SALES PARTNERSHIP - Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations. - Engage directly with key customer stakeholders, including Founders, CTOs, Research Engineers, and Heads of Infrastructure. WHAT WE'RE LOOKING FOR - 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads. - Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production. - Strong understanding of AI/ML concepts and advanced implementations. - Proven success driving technical engagement and technical adoption. - Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management. NICE TO HAVE - Working knowledge of model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow) and Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D). - Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration. - Familiarity with high-performance infrastructure: InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies. WHY THIS ROLE MATTERS Compute deals require flawless execution from the initial technical commitment through deployment and production. By coordinating customers, sales, product, and support, the Compute Solution Architect ensures that infrastructure performs as expected, contractual commitments and SLAs are met, and issues are resolved quickly. This end-to-end ownership is critical to building customer trust, securing long-term adoption, and turning strategic GPUaaS contracts into successful partnerships. HIRING PROCESS - Talent Acquisition screening call - 45 min Hiring Manager & Business Acumen interview - 60 min Technical deep dive - Panel (home prep & restitution) - 30 min Value talk - Reference checks 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Member of Technical Staff (Applied AI Engineer, Ag...
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.
Staff Machine Learning Engineer, Public Sector
The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: - Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. - Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. - Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. - Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. - Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. - Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. - Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. - Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. - Serve as a technical mentor and multiplier—raising the bar for system design, ML rigor, and production readiness across the organization. - Comfortable with light travel (approximately 10%) for customer interaction and team needs. This role will require an active TS security clearance. Ideally You’d Have: - 8+ years of experience building and deploying applied ML systems in production environments. - Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps. - Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation. - Hands-on experience with retrieval systems, embeddings, or representation learning. - Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end. - Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 0→1 initiatives to production. - Experience making thoughtful tradeoffs across performance, cost, reliability, and development velocity. Nice to Haves: - Experience deploying ML systems into air-gapped, classified, or otherwise disconnected environments - customer data centers, on-prem infrastructure, or networks with no path to a cloud provider. - Prior work with DoD, the intelligence community, or federal mission users - including the judgment to learn a mission well enough to know what "correct" means for the operator using your system. - Hands-on experience with geospatial data or GEOINT: reasoning over maps, imagery, or spatial reference systems. - Depth in model adaptation - training or fine-tuning embedding models, instruction tuning, LoRA/PEFT, or RLHF. - Experience building evaluation infrastructure for non-deterministic systems: LLM-as-judge, regression suites for agent behavior, or drift detection in production. - A track record of turning a forward-deployed prototype into a supported, documented capability other engineers can deploy without you. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $274,400 - $343,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Machine Learning Engineer, Public Sector
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, they propose the architecture, build it with support from other engineers, and are accountable for whether it holds up in the environments our customers depend on. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge . Our work spans multiple modalities, with our primary focus on agentic systems built on large language models. We are developing agents that solve complex operational and planning challenges for government partners: agent frameworks that integrate custom retrieval pipelines and production APIs, memory and context-management systems that hold state across long-running tasks, geospatial reasoning over maps and spatial data, and the evaluation tooling that benchmarks and refines agent behavior. We also apply reinforcement learning in targeted places where it earns its keep, and our computer vision work advances evaluation, labeling efficiency, and multimodal model training in support of defense applications. As a Senior MLE, you'll have design authority over a capability area - the final say on the patterns used within your team, and the responsibility to make those patterns work under real constraints: classified environments, limited compute, and correctness requirements that don't bend. You will: - Own the design and delivery of agent capabilities end to end - architecture, implementation, and the evaluation that proves they work - Define net-new patterns in problem spaces with no established approach, propose them to the wider team, and lead the work to build them - Take state of the art models developed internally and from the community and put them into production to solve problems for our customers and taskers - Improve and maintain production models and agents through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics - Build agent-level evaluation benchmarks, LLM judges, and verifiers - and use it to hillclimb performance rather than just report on it - Partner with product and research teams to scope and shape high-impact initiatives, including for upcoming product lines - Build scalable machine learning infrastructure to automate and optimize our ML services - Work directly with government users and subject-matter experts, and translate what you learn into technical direction - Act as a force multiplier and a primary reviewer for your team, mentoring at least one engineer, and your manager's go-to on feasibility questions - Communicate technical tradeoffs clearly to non-technical stakeholders - Treat security and compliance as design constraints to engineer around rather than blockers to route past - Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations - Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment - Comfortable with light travel (approximately 10%) for customer interaction and team needs This role will require an active TS security clearance Ideally You'd Have: - 5+ years of experience building and deploying applied ML systems in production environments - Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment - A track record of owning architectural decisions and defending the tradeoffs behind them - not just implementing a design handed to you - Experience shipping agentic systems with real production traffic and evaluation rigor, rather than prototypes or demos - Solid background in algorithms, data structures, and object-oriented programming - Strong programming skills in Python, experience in PyTorch or Tensorflow - Experience mentoring or reviewing the work of other engineers Nice to Haves: - Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization - Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments - Experience with computer vision, generative AI models, large language models, or agentic systems - Familiarity with ML evaluation frameworks and agentic model design - Experience deploying ML in classified, air-gapped, or IL5+ environments - Geospatial or GEOINT experience - Inference optimization experience - Fine-tuning experience: SFT, RL, or embedding models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $235,200 - $294,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior AI Engineer – Notebooks
Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do - Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces - Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes - Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations - Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments - Provide technical leadership and mentorship while helping establish AI engineering best practices - Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are - You have experience with Go, Python or similar systems programming languages - You have 6+ years of relevant engineering experience - You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. - You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. - You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds - Access to Inclusion Talks, our Internal panel discussions - Free, global Spring Health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Remote About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Staff Product Engineer, Enterprise AI
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We’re looking for a Staff Product Engineer to help build Thunderbolt as it moves from early product development into enterprise use cases. This role sits at the intersection of full-stack product engineering, AI-enabled product development, enterprise workflows, technical execution, product judgment, and post-launch iteration. You’ll work across the stack to turn product direction, user needs, partner feedback, and enterprise requirements into complete product features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. This is not a role focused only on implementing tickets. You’ll own product work from concept through launch, adoption, and iteration, helping the team understand whether features are usable, reliable, being used, and creating value. You should be comfortable operating independently in ambiguity, working across front-end, back-end, APIs, integrations, and infrastructure-adjacent areas, and making thoughtful tradeoffs between speed, usability, maintainability, reliability, and enterprise needs. Strong candidates will be able to turn ambiguous product ideas and technical direction into shipped product experiences, reusable product and engineering patterns, and practical improvements that help Thunderbolt scale as both an open-source product and an enterprise-ready platform. What you’ll do - Own the implementation of Thunderbolt product features from concept through launch, adoption, and iteration. - Translate product vision, user needs, partner feedback, and enterprise requirements into practical technical plans and shipped product experiences. - Work across the stack to build, integrate, test, and ship complete product features. - Build features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. - Partner closely with product, design, engineering, enterprise-facing teams, and open-source contributors to clarify requirements and deliver high-quality outcomes. - Collaborate with senior technical leadership to turn product-shaping technical direction into executable product work. - Use AI-assisted development tools thoughtfully to accelerate implementation while maintaining strong judgment around quality, security, maintainability, and reliability. - Make thoughtful technical and product tradeoffs in ambiguous situations, balancing speed, usability, maintainability, reliability, and enterprise needs. - Follow through after launch by reviewing usage, qualitative feedback, support signals, quality issues, and adoption patterns. - Instrument features or collaborate on measurement approaches that help the team understand adoption, reliability, and product value. - Identify product gaps, technical risks, edge cases, and opportunities to improve the user experience. - Write clear, maintainable, well-tested code across front-end, back-end, APIs, integrations, and infrastructure-adjacent areas. - Help establish reusable product and engineering patterns that allow future features to be built more efficiently. - Contribute to a product engineering culture grounded in ownership, quality, experimentation, user value, and practical execution. What you bring - 10+ years of professional software engineering experience, including significant experience building and shipping production applications with Staff-level scope, leadership, and impact. - Strong full-stack engineering skills, with the ability to work across user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent areas. - Demonstrated experience owning complex product features from technical planning through implementation, launch, evaluation, and iteration. - Experience building AI-enabled products or features, with practical familiarity in LLMs, RAG, agents, model/provider abstraction, data connectors, retrieval systems, or AI application architecture. - Practical experience evaluating and using multiple AI tools, models, frameworks, or development harnesses, with the ability to explain tradeoffs, limitations, and preferred tooling choices. - Experience working with open-source enterprise products, developer tools, infrastructure products, platform products, or technically complex enterprise software. - Strong product judgment, including the ability to translate product direction, user feedback, partner input, customer needs, and product signals into practical technical plans and follow-up iterations. - Comfort operating independently in a fast-changing product environment where product direction, technical architecture, and enterprise requirements are still being defined. - Strong understanding of software quality, testing, maintainability, security, performance, reliability, and implementation tradeoffs. - Strong collaboration and communication skills across engineering, product, design, open-source, and customer- or partner-facing stakeholders. - Awareness of enterprise software needs, including privacy, security, administration, access control, compliance, deployment flexibility, supportability, and responsible AI considerations. Bonus points for - Experience with self-hosted, hybrid, customer-controlled, or regulated deployment environments. - Familiarity with regulatory or compliance considerations affecting AI and enterprise software, such as the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar frameworks. - Experience working with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering teams. - Experience contributing to reusable product patterns, component libraries, technical frameworks, or shared engineering practices. - Experience with instrumentation, observability, experimentation, or other approaches to understanding product adoption, reliability, and value. What success looks like In this role, success means helping Thunderbolt turn ambiguous product ideas, technical direction, user needs, and enterprise requirements into complete product capabilities that are usable, reliable, maintainable, and valuable. You will help the team move quickly while also building the patterns, feedback loops, and product quality needed for Thunderbolt to scale as both an open-source product and an enterprise-ready platform. Over time, successful work in this role will lead to: - Shipped features that solve real user, partner, and enterprise needs. - Stronger full-stack product capabilities across AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. - Clearer technical plans that translate product direction and enterprise requirements into executable work. - Better post-launch understanding of whether features are being used, working as intended, and creating value. - More reusable product and engineering patterns that help future features move faster. - Fewer product gaps, edge cases, and technical risks discovered late in development. - Stronger alignment between product, design, engineering, enterprise-facing teams, and open-source contributors. - Greater confidence that Thunderbolt features are secure, maintainable, supportable, and ready for enterprise use. Work environment You’ll work with our passionate staff and open-source community members from all over the globe to support the mission and objectives of MZLA Technologies Corporation. In this role, you’ll also collaborate closely with engineering, product, design, enterprise-facing teams, contractors, and external contributors working on Thunderbolt. This is a remote, full-time position. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. Compensation & benefits We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: - US: $185,000 - $220,000 USD We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience. In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self. Work & career - Fully remote work & schedule flexibility - Company-provided laptop - Annual bonus program - Monthly remote work stipend - Annual professional development stipend - Access to Coursera l earning platform - Industry conferences - Company all-hands and team gatherings Rest & play - 24 days PTO per year (prorated) - Your birthday - Year-end company shutdown - 9 wellbeing days - Public holidays - Other paid leave - Quarterly wellbeing stipend for personal / family activities Health & family - 401(k) contributions - Health, dental, & vision insurance - Disability insurance - Life insurance - Employee assistance program - Paid parental leave - Paid sick days Work eligibility Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to apply Please apply directly through our career page . We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration. Our commitment to diversity, equity, and inclusion MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. MZLA will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation. LI-DNI
VP, Demand Generation
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 As VP of Demand Generation, you will be the CMO's right hand and lead Mistral's global demand generation and field marketing organization. This is a highly strategic leadership role responsible for building a world-class revenue engine that drives enterprise adoption of Mistral's products and solutions. You'll lead a global team spanning Demand Generation, Field Marketing, and ABM, partnering closely with Sales, Product Marketing, Communications, and Revenue Operations. You'll help define how Mistral goes to market, influence company strategy, and build the programs that connect the world's leading organizations with frontier AI. WHAT YOU'LL DO - Define and execute Mistral's global demand generation strategy aligned to company growth and revenue goals. - Lead and develop a high-performing team across Demand Generation, Field Marketing, and ABM. - Own marketing-sourced and marketing-influenced pipeline targets globally. - Build integrated campaigns across digital, events, paid media, executive programs, content, and partner marketing. - Partner closely with Sales leadership to drive pipeline generation across strategic enterprise accounts. - Develop and scale a best-in-class account-based marketing strategy. - Lead Mistral's field marketing efforts across EMEA, North America, and APAC. - Partner with Product Marketing and Communications to maximize the impact of product launches and flagship events. - Establish clear funnel metrics, reporting, and forecasting to measure marketing performance and business impact. - Act as a strategic advisor to the CMO and collaborate with executive leadership on company priorities. WHAT WE'RE LOOKING FOR - 12+ years of experience in Demand Generation, Growth Marketing, or Revenue Marketing within high-growth B2B technology companies. - Experience leading global demand generation and field marketing organizations. - Proven success driving enterprise pipeline and revenue growth. - Deep expertise in Account-Based Marketing and enterprise go-to-market strategies. - Experience building and scaling teams in fast-moving environments. - Strong executive presence and the ability to influence senior stakeholders. - Exceptional operational, analytical, and leadership skills. - Experience in AI, cloud infrastructure, enterprise software, or developer platforms is highly preferred. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Software Engineer, New Grad 2027
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE We're hiring new grad engineers to join SpaceXAI software engineering teams. You'll own real product work on the surfaces our users live in every day: Grok Bot, Cloud Agents, Cursor and the systems underneath. You will design, build, and ship delightful and bulletproof products and systems that engineers love to use every day. This role values a strong attention to details, first principles reasoning, and great taste. That means picking up concrete problems, driving them end to end (UI through a bit of backend when needed), and raising the bar on taste and correctness while you move fast. You'll work alongside a small, talent-dense team with high ownership and little hierarchy. Strong fundamentals matter. So does judgment about when to use AI tools as leverage without giving up correctness. You may be a fit if: - You're graduating in Spring 2027 (CS, software engineering, computer engineering, or a related technical field). - You've already built something great — an app, OSS, or shipped product we can open and review (required). - You blend strong engineering and AI tools as leverage without giving up correctness. - You learn fast, take ownership, and have already done something meaningfully hard early (internships or equivalent industry experience welcome). SAMPLE PROJECTS INCLUDE: - Adding a small UI improvement so AI-generated code or PRs are easier to read and review - Turning a teammate’s rough idea into a working prototype over a few days, then iterating based on feedback - Shipping a contained feature (frontend + a bit of backend), then fixing bugs and making it feel smoother after people use it APPLYING If there appears to be a fit, we'll reach out to schedule 2–3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. In your application, please share an example of an exceptional technical project or product feature you've built that best demonstrates your technical capabilities (GitHub, live app, OSS, or shipped product).
RVP, Strategic Sales, HiTech
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role As RVP, Strategic Sales for our HiTech vertical, you'll build and lead the organization responsible for revenue growth across our biggest segment. You'll hire and develop frontline sales leaders, set territory and account strategy at scale, and personally engage in the most strategic, executive-level relationships in the region. You'll partner with engineering leaders — from CTOs to VPs of Engineering — to show how SpaceXAI transforms developer productivity, and drive a land-and-expand motion across sophisticated software companies. This is a second-line leadership role: you'll scale through managers who lead high-performing Account Executives, while staying close enough to the business to shape strategy, unblock deals, and set the bar for excellence. It requires deep technical fluency, command of complex enterprise buying processes, and a genuine passion for AI-powered developer tools. You'll be a foundational leader in our enterprise sales organization. What you’ll do - Build, hire, and lead a team of frontline sales leaders (and, through them, a high-performing Strategic AE organization); own forecasting, pipeline health, and quota attainment across the region. - Set and execute go-to-market strategy for a named geographic enterprise territory — driving new logo acquisition, expansion revenue, and long-term strategic growth. - Personally engage in the largest, most strategic deals — leading complex, multi-threaded sales cycles across Engineering, Product, Security, Procurement, Legal, and executive stakeholders. - Coach and develop sales leaders to build teams of trusted product experts who can guide prospects through trials, technical evaluations, security reviews, and large-scale rollouts. - Build executive relationships across strategic accounts and represent Cursor at the CTO / VP Engineering / C-level. - Establish clear ROI frameworks tied to developer productivity and AI adoption, and ensure your leaders and teams apply them consistently. - Serve as the voice of the enterprise customer to leadership, shaping roadmap, packaging, deployment, and GTM strategy. - Partner closely with Field Engineering and the AI Deployment team to ensure outcomes from proof of concept through production deployment and expansion. - Partner closely with Field Engineering and the AI Deployment team to ensure outcomes from proof of concept through production deployment and expansion. - Build repeatable playbooks for outbound hunting, enterprise deal execution, and land-and-expand so the region scales with quality, not just headcount. - Operate as a true builder: stand up or scale the region with a bias for hands-on involvement in account strategy, executive engagement, and enabling your leaders to win. You may be a fit if - You have 12+ years of enterprise technology sales experience, including 5+ years leading and scaling quota-carrying sales organizations, with meaningful experience as a second-line leader (managing managers), ideally in developer tools, technical SaaS, infrastructure, or emerging technologies. - You have a consistent track record of building and leading teams (and leaders) that land new logos, expand strategic accounts, and exceed quota. - You're a builder — you've stood up or scaled a region or multi-team organization from the ground up, with a bias for hands-on involvement in outbound motion, account mapping, and executive deal strategy. - You're comfortable navigating complex enterprise sales cycles and coaching leaders and reps to sell to technical stakeholders — from senior ICs to CTOs and C-level executives. - You understand how sophisticated software companies buy developer tools, and can translate that into regional strategy, hiring plans, and enablement. - You bring an analytical approach to pipeline and forecasting, combined with the creative, tactical instincts to unblock deals and coach leaders through them. - You're an excellent communicator and leader who builds trust across all levels — your leaders, your broader team, customers, and Cursor executives alike. - You're passionate about AI and excited by the idea that transforming how software gets written is one of the most important problems to work on right now.
Event Marketing Manager
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to candidates based near our NYC office or those willing to relocate. We're looking for an Event Marketing Manager to join our dynamic team of creatives, engineers, business folks, and more. In this role, you'll spearhead our event strategy by ideating and executing on events supporting various initiatives across Runway. You will work cross-functionally with Sales, Partnerships and Community on these events. You will also have a chance to contribute to broader marketing initiatives to enhance revenue and brand visibility. Things are always moving quickly at Runway. This role requires exceptional communication and organization skills as well as an agile and dynamic mentality. You should be comfortable with change and have a willingness to go above and beyond to ensure a job is done optimally. WHAT YOU’LL DO - Source venues & vendors from existing relationships or via outreach - Coordinate vendors for events (ex. venues, security, production installs, print collateral) - Collaborate with Sales, Partnerships and Community teams to curate guest lists and attendees based on team objectives (ex. generate new leads, deepen partnership relationships, expand community presence) - Facilitate day-of event activities and schedules - Partner outreach and partnership facilitation in the context of events (festival partners, event sponsors, etc.) WHAT YOU’LL NEED - 5+ years of marketing experience with 2+ of those years in event marketing and/or production, preferably within conferences specifically - Proven track record of working autonomously with limited oversight to bring an event or experiential campaign to life from initial concept through to final execution with minimal direction and within budget - Cross-functional experience working with teams such as Sales, Brand, Creative, Communications, etc. - Strong communication skills - Strong organizational skills - Openness to moving across various initiatives and marketing functions Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Customer Success, 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. THE ROLE As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success. This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Talent Partner, GTM
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE Cohere is in a unique and exciting position to grow our GTM team globally! We are expanding our Talent Team and are looking for a creative, high-performing go-to-market talent partner who is eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. If you consider yourself resilient, collaborative, influential, and a lifelong learner, we’d love to hear from you! WHAT YOU’LL DO As an intermediate Talent Partner for Cohere, you will: - Own the full lifecycle recruitment process, attracting and recruiting top talent for GTM at Cohere. - Make sure our candidates have a world-class recruiting experience with us. - Work with hiring managers and leaders to create effective recruiting strategies. - Keep us up-to-date with talent market and industry insights so we can make informed decisions. - Keep track of recruiting funnels in Ashby our ATS, and update the progress regularly. - Find creative ways to proactively source and recruit candidates to optimize the top of the funnel. - Build relationships with diverse tech and talent communities. - Bring in other exciting talent projects and take ownership of them! - Attend and represent our Talent Acquisition team at industry conferences as well as plan and execute curated networking events. WHO YOU ARE - 3-5 years of go-to-market, full-cycle recruiting experience scaling high-growth teams (experience at startups is a plus). - You are a creative problem solver and thrive under pressure. We are a fast-growing scale up and with that comes ambiguity and change. - You are a natural influencer and enjoy working cross-functionally. - You love data and take a data-driven approach to your recruiting. - You are passionate about diversity, community, and ensuring an equitable recruiting process. - You are naturally curious, with a keen interest in the AI industry, specifically around NLP, LLMs, and cutting-edge research in this space. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Partner Solution Architect - MENA
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 ROLE As an early member of our Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models. WHAT YOU WILL DO Your scope will be as follows: Pre-Sale & Sales Activities: • Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives • Help onboard AI Platform and model updates to strategic partner platforms • Drive enablement at scale across strategic partner technical and sales teams • Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc. • Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary. • Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities. Product Implementation & Integration: • Be the “user zero” to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams. • Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability) • Guide and support partners and customers in deploying our text completion API into their infrastructure. • Work closely with customers and partners to fine-tune models according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. Customer & Partner Success & Support: • Collaborate with Account Executives to ensure that the customer is maximizing the product's potential. • Provide post-deployment support, addressing any issues or challenges that arise promptly. • Offer recommendations for product optimizations or new features based on customer feedback. • Develop custom features for customers as needed. WHAT WE'RE LOOKING FOR • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer). • Experience partnering with large technology cloud or platform providers, sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution. • Hands-on experience in deployment AI solutions and leveraging technical skills throughout implementations • Ability to successfully drive complex interactions with tech teams and to connect with technical stakeholders • Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions • Experience building enablement assets and driving enablement or evangelism at scale • Track record of managing complex implementation projects from discovery to delivery • Experience running solution design workshops and translating business requirements into technical specifications • Strong stakeholder management skills, including experience working with C-level executives • Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences • Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience) • Nice to have: track record in managing partnerships and customer-facing interactions, creating strong relationships that align with business objectives and bring customer satisfaction • Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message. • Experience working in a constantly changing environment with multiple internal stakeholders • Demonstrated ability to collaborate with cross-functional teams • Strong written and verbal communication skills in English (fluent) and, ideally, other European languages 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Principal PLM Configuration Manager
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The PLM team runs product data and configuration control for our AI systems and semiconductor hardware programs, sitting between Hardware and System Engineering, Silicon, NPI, Manufacturing Engineering, Supply Chain, and Quality. It owns the PLM platform, the change control board, the release schedule against NPI gates, and the EBOM to MBOM handoff into ERP for products spanning silicon, PCBAs, racks, thermal and power subsystems, cables, firmware, and enclosures. The team is small and each person owns a product line end to end, so you will hold decisions rather than route them. About the role The PLM Configuration Principal owns product lifecycle and configuration management at the product level — running PLM the way a technical program manager runs a program, not the way a helpdesk runs a ticket queue. This role is the single accountable owner for how a product's data is structured, released, changed, and audited from first schematic through end of life. It is a dual-hat position. Roughly half is platform ownership: you hold administrator rights in the PLM system and personally configure object models, item and document types, BOM structures, lifecycle phases, change workflows, roles, and privilege masks. The other half is program execution: you chair the change control board, hold the release schedule against NPI gates, keep the EBOM-to-MBOM handoff clean into ERP, and unblock cross-functional decisions across Hardware/System Engineering, Ops PM, Supply Chain, Quality and Contract Manufacturer. The environment is high-mix, fast-revision AI systems and semiconductor hardware — L5-L12 (silicon, active/passive components, PCBs, PCBAs, racks, thermal and power subsystems, cables, firmware, and mechanical enclosures) — where a single mis-scoped ECO can strand inventory, slip a build, or ship a non-conforming rack. Precision is the job. Responsibilities PLM Platform Administration & Configuration (~40%) - Serve as the named functional administrator for the PLM application — configure and maintain object and subclass models, item and document types, attributes and page-three fields, autonumber schemes, lifecycle phases, revision and effectivity rules, and part numbering standards. - Build and maintain change workflows (ECR, ECO, ECN, MCO, deviation and waiver, stop-ship, and NCMR routings) including approval matrices, escalation timers, notification rules, and conditional routing logic. - Administer roles, privilege masks, and criteria-based access controls; enforce least privilege and segregation of duties across internal users, contract manufacturers, ODMs, and foundry or OSAT partners. - Own the PLM-to-ERP and PLM-adjacent integrations at the functional level: EBOM-to-MBOM transfer, item and AML/AVL synchronization, change-order publication, and reconciliation of failed transactions. Partner with IT on middleware and API-level defects. - Manage sandbox-to-production promotion, regression testing, patching and upgrade validation, and configuration documentation. Maintain a written configuration baseline of the PLM system itself. - Build reports, dashboards, and saved searches that give leadership real visibility into change aging, release readiness, and BOM health. Configuration & Change Management (~30%) - Chair the Change Control Board for the assigned product line: set the agenda, drive disposition, force decisions on stalled changes, and publish minutes and actions. - Establish and hold configuration baselines at each NPI gate (EVT, DVT, PVT, MP) — functional, allocated, and product baselines — with documented traceability from requirement to released design artifact. - Perform configuration status accounting: know at any moment what revision is released, what is in flight, what is deviated, and what configuration is in prototype, production and end-of-life. - Assess change impact across hardware, firmware, mechanical, test, documentation, and supply chain; drive effectivity decisions (date, serial, lot, or unit-based) and coordinate inventory disposition, rework, and field-affected units. - Run configuration audits (FCA and PCA) and support internal, customer, and ISO 9001 / AS9100 / ITAR / trade-compliance audits with evidence pulled directly from the system. - Control the release of drawings, specifications, test procedures, source-controlled and vendor-item drawings, firmware images, and approved manufacturer lists. Product-Level Program Management (~20%) - Own the PLM workstream on the product program plan — deliverables, dependencies, and gate exit criteria — and report status into the core team as a peer of the hardware, silicon, and operations program managers. - Hold NPI documentation gates. A gate does not pass because the schedule says so; it passes because the data package is complete and released. - Drive cross-functional alignment across Design, Silicon, NPI, Manufacturing Engineering, Supply Chain, Quality, Compliance, and Finance on data standards, part strategy, and change velocity. - Identify, escalate, and close risks tied to product data: unreleased parts on a build, uncontrolled documents, phantom or mis-structured BOMs, cost roll errors, obsolete or EOL components, and single-source exposure. - Deliver executive-level status and risk narrative — concise, quantified, and decision-oriented. Governance, Training & Continuous Improvement (~10%) - Author and maintain PLM SOPs, work instructions, data standards, and the configuration management plan. - Train and certify engineers, operations staff, and external partners on PLM usage and change discipline; act as the escalation point for complex user issues. - Measure and improve process health — change cycle time, first-pass approval rate, BOM accuracy, data completeness at gate — and run the improvement projects those metrics justify. - Mentor PLM analysts and provide functional direction to contractors or offshore support. Required qualifications - B.S. in Engineering, Supply Chain, Information Systems, or a related technical discipline - 8+ years in product lifecycle management, configuration management, or engineering program management - 3+ years operating at the product-owner or program-owner level - Administrator-level, hands-on ownership of at least one enterprise PLM platform (Oracle Agile PLM 9.3.x, Oracle Fusion Cloud PLM, Arena PLM, SAP PLM/ECTR, or PTC Windchill), including workflows, object models, and privilege structures personally built and modified in production - PLM administrator certification or training completed within the last 3 years - Deep working command of engineering change management (ECR, ECO, ECN, MCO, deviation), revision and effectivity control, and multi-level EBOM and MBOM structures - Demonstrated experience with PLM-to-ERP integration (Oracle EBS, Oracle Fusion ERP, SAP, or NetSuite) including item and BOM synchronization and resolution of failed transactions - Hardware NPI experience across EVT, DVT, PVT, and MP in a high-complexity electromechanical, semiconductor, server/datacenter, or comparable regulated hardware environment - Proven ability to run a change control board and drive decisions among senior engineering and operations stakeholders without direct authority - Advanced Excel, plus SQL or report-builder proficiency sufficient to query and audit PLM data independently Preferred qualifications - Direct experience in AI infrastructure, semiconductor, or datacenter hardware: silicon and tapeout data, package and substrate BOMs, HBM and memory sourcing, PCBA and board assemblies, rack and system integration, thermal and power subsystems, or firmware release control - Experience standing up a PLM instance from scratch or leading a platform migration (Agile to Oracle Fusion Cloud PLM, Arena to Windchill, or similar) - Familiarity with CAD and EDA data management and PLM connectors (Cadence Allegro, Altium, Siemens NX, SolidWorks, Creo, Teamcenter) - Experience supporting contract manufacturers and ODMs with controlled external access to product data and with JDMs nice to have - Working knowledge of ISO 9001, AS9100, IPC standards, EAR/ITAR, RoHS/REACH, and conflict-minerals reporting obligations Base Salary Range: Base Pay Range $215,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Principal PM, Product Strategy and Competitive
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. SambaNova builds the RDU, a dataflow accelerator for AI inference, and delivers it as rack-scale systems for on-premises deployment, as managed capacity in partner data centers (SambaManaged), and as an API (SambaCloud). Our customers are clouds, governments, and enterprises building token factories: data center capacity dedicated to running agentic AI workloads. The RDU's advantage is in decode, and it is increasingly deployed alongside GPUs that handle prefill. SambaNova earns revenue from that advantage only if three things happen: the right models run on the platform at the right time, the surrounding ecosystem of serving engines, networking, storage, and orchestration treats RDU as a first-class target, and the company concentrates its engineering on the bets with the highest payoff. Core Product is the team responsible for those three things. It decides what SambaNova builds and why, grounds those decisions in benchmarks, competitive intelligence, and unit economics, and partners with engineering to see them through to release. Responsibilities SambaNova is hiring a Principal Product Manager, Product Strategy and Competitive Intelligence to turn external market intelligence into SambaNova product decisions. The role converts third-party research, competitor disclosures, and benchmark data into roadmap, pricing, and positioning calls, and it builds the AI tooling that keeps that analysis current without a large team behind it. The person in this role should be able to build a TCO model from primary inputs, read both architecture specifications and financial statements, and be hands-on enough with AI tooling to automate their own research pipeline. This individual will be responsible for: Market intelligence to product inputs - Own the pipeline from third-party research (SemiAnalysis TCO, Tokenomics, Accelerator, and Datacenter models; competitor disclosures; benchmark data) to decision-ready analysis. - Maintain the house model of where RDU inference wins on cost per million tokens, at which latency tiers, for which workloads, and against which competitor configurations. - Convert TCO, tokenomics, and data center data into roadmap language: feature priorities, pricing moves, and segment bets. - Open each product review with a summary of market changes since the last quarter and their implications for SambaNova. Competitor specifications and roadmaps - Track chip-level specifications for NVIDIA, AMD, Google TPU, AWS Trainium, Cerebras, Groq, and emerging accelerators: compute, memory hierarchy (SRAM, HBM, DDR), interconnect, power, process node, and packaging. - Track rack- and cluster-level design: scale-up and scale-out topology, networking (NVLink-class fabrics, Ethernet and InfiniBand, optics), storage, cooling, and rack power density. - Track roadmaps: announced parts, credible leaks, and supply signals such as HBM allocation, CoWoS capacity, and foundry node ramps. - When a spec or roadmap change moves the TCO or latency frontier, quantify the effect on SambaNova's positioning within a week. - Maintain a versioned spec comparison matrix with a changelog. AI tooling for intelligence - Build agentic pipelines that monitor research releases, competitor announcements, InferenceMAX and ClusterMAX updates, conference disclosures (Hot Chips, GTC, OCP), and regulatory and supply-chain filings. - Extract specs and claims into the comparison matrix automatically, with human review on anything that feeds a decision. - Automate the first draft of the weekly brief from monitored sources. - Treat the tooling as a product and iterate on precision, coverage, and detection latency. Segment and demand theses - Use data center capacity and power data to pressure-test the SambaManaged pipeline: which operators have stranded power and cooling suited to air-cooled RDU racks, where, and on what timeline. - Track workload mix shifts (agentic, chat, coding) and what they imply for decode-optimized positioning. - Keep a short list of falsifiable house theses and score them quarterly against outcomes. Intelligence cadence - Write a weekly two-page brief covering what changed, what it means, and which decision is needed from whom. - Produce a monthly deep dive tied to one live roadmap question. - Run a quarterly thesis review with the product and executive teams. - Set the analytical agenda for SambaNova's external research relationships, including the questions to raise on analyst calls and the custom data pulls to request. Another team member manages the vendor relationships and access. This role sets the questions and turns the outputs into product inputs. How We Measure This Role We measure this role by the product, pricing, and investment decisions its analysis changes, not by the volume of reports or summaries produced. Automated tooling handles monitoring and first drafts. The person in this role is accountable for the conclusions SambaNova draws from them. Basic Qualifications - 8+ years in semiconductor or AI infrastructure analysis, competitive intelligence, equity research, corporate or product strategy at a chip, cloud, or AI infrastructure company. - Has built quantitative market or economic models (accelerator forecasts, TCO, capacity and demand) from primary inputs. - Bachelor's degree in engineering, computer science, economics, or another quantitative field, or equivalent experience. Additional Required Qualifications - Fluent in accelerator and system architecture (compute, memory hierarchy, interconnect, power) and how each drives inference performance and cost. - Track record of translating competitor spec and roadmap changes into product, pricing, or investment decisions. - Hands-on with Python and LLM APIs, and able to build or direct agentic research tooling (extraction pipelines, monitoring agents) without waiting on an engineering team. - Concise, quantified, executive-ready writing with stated uncertainty. Preferred Qualifications - Direct experience with SemiAnalysis models (TCO, Tokenomics, Accelerator, ClusterMAX, InferenceMAX) or comparable institutional research. - Depth in inference economics: cost per million tokens, latency and throughput tradeoffs, prefill and decode disaggregation, and workload mix. - Rack- and cluster-level fluency: networking, optics, cooling, power density, and scale-up and scale-out topologies. - Has done capacity planning or GPU economics at a cloud, neocloud, or hyperscaler. - Has written an investment thesis that redirected a roadmap or a capital allocation, or built a decision framework that others kept running. - Willing to challenge a senior stakeholder's figures when the evidence supports it. Base Salary Range: Base Pay Range $216,000 - $260,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
AI Deployment Strategist, South Korea
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. WHAT YOU WILL DO Pre-Sales & Sales Activities: • Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations. • Lead qualification calls to pinpoint prospects who would gain the most from our solutions. • Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation & Integration: • Guide and support customers in deploying our text completion API into their infrastructure. • Work closely with customers to fine-tune models according to their specific requirements. • Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Design and develop product features that would meet the need of many customers. Customer Success & Support: • Continually ensure that the customer is maximizing the product's potential. • Provide post-deployment support, addressing any issues or challenges that arise promptly. • Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback. • Offer recommendations for product optimisations or new features based on customer feedback. • Develop these features if needed. ABOUT YOU • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.). • You are proficient in both, English and Korean native • Passion for AI, with a constant drive to stay updated and ahead of the curve. • Proven experience in product implementation in AI or machine learning products. • Strong communication skills with an ability to explain complex technical concepts in simple terms. • Demonstrated ability to manage projects and lead them to successful completion. • Proficient in understanding and developing code. • Familiarity with front-end interfaces and integration processes. • Ability to work collaboratively in a team environment. We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. INTERVIEW PROCESS • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Director of Product, Ecosystem
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. SambaNova builds the RDU, a dataflow accelerator for AI inference, and delivers it as rack-scale systems for on-premises deployment, as managed capacity in partner data centers (SambaManaged), and as an API (SambaCloud). Our customers are clouds, governments, and enterprises building token factories: data center capacity dedicated to running agentic AI workloads. The RDU's advantage is in decode, and it is increasingly deployed alongside GPUs that handle prefill. SambaNova earns revenue from that advantage only if three things happen: the right models run on the platform at the right time, the surrounding ecosystem of serving engines, networking, storage, and orchestration treats RDU as a first-class target, and the company concentrates its engineering on the bets with the highest payoff. Core Product is the team responsible for those three things. It decides what SambaNova builds and why, grounds those decisions in benchmarks, competitive intelligence, and unit economics, and partners with engineering to see them through to release. Responsibilities SambaNova is hiring a Director of Product, Ecosystem to own ecosystem strategy for our core products across scale-out networking, inference serving, storage and caching, prefill compute, agentic CPU offload, and compiler and RDU research: which integrations we pursue, how we position them, and how partners deploy them. Customers deploy RDU in token factories alongside other vendors' hardware and software. This role decides how RDU integrates at each layer, ships the reference architectures and certifications partners deploy from, and converts that work into demand. It sets the partner strategy that domain product managers and engineering execute within. This individual will be responsible for: Ecosystem strategy - Define where RDU integrates into each customer segment's token factory: prefill compute, caching storage, scale-out networking, and agentic CPU offload alongside RDU decode. - Make explicit build, partner, or ignore decisions for each integration area, write down the reasoning, and revisit it quarterly. - Anchor positioning on decode economics: tokens per second per user, cost per million tokens, and latency tiers. - Maintain a versioned ecosystem map with a changelog. Partner enablement - Publish joint reference architectures for each integration area, with defined integration points next to RDU decode. - Own certification of RDU against the common cloud-native stack: Kubernetes, Prometheus, Grafana, and managed-stack vendors. - Ship operators, metrics exporters, dashboards, and integration documentation as maintained products rather than one-off deliverables. - Treat enablement as complete only when a cloud provider or partner can deploy from the reference architecture without SambaNova engineering support. Core software ecosystem - Secure and deliver co-optimization work with inference-engine builders (vLLM, SGLang, llm-d) and system-software optimizers so their runtimes run efficiently on RDU. - Represent SambaNova in PyTorch and MLIR community work. - Connect SambaNova's compiler and RDU research to the external ecosystem so programmability improvements reach the frameworks and toolchains partners build on. - Support co-engineering with model partners so flagship open models run fastest on RDU. Demand conversion - Run joint go-to-market with token-factory partners where the buyer and the data center are shared. - Own the analyst relationships with Marketing: supply benchmark data to SemiAnalysis and Artificial Analysis and co-develop token-factory reference guidance so buyers' TCO models reflect RDU's decode advantage. - Feed partner and integration signal into product bets and competitive intelligence, in partnership with the Product Strategy and Competitive Intelligence lead. Positioning and education - Own external positioning for the core product surface: how networking, serving, storage, prefill, and offload fit together in a token factory. - Produce internal educational content on the ecosystem for SambaNova teams. - Deliver a quarterly ecosystem scorecard to the executive team: partner deployments, reference architectures shipped, benchmark results, and partner-attached pipeline. How We Measure This Role We measure this role by partner deployments and partner-attached pipeline. MOUs, press releases, and announced logos do not count until the partner has deployed. Basic Qualifications - 10+ years in AI infrastructure, accelerators, or data center systems, including 8+ years in product management with direct ownership of ecosystem, platform, or partner-facing product. - Shipped partner-facing product artifacts (reference architectures, certification programs, or integration surfaces) that external teams adopted. - Bachelor's degree in computer science, electrical engineering, or a related technical field, or equivalent experience. Additional Required Qualifications - Working fluency across scale-out networking, inference serving, storage and caching, prefill and decode disaggregation, CPU offload, and compiler toolchains, with depth in at least two. - Track record of converting partnerships into measurable deployments, demand, or revenue. - Fluency in inference economics: cost per million tokens, tokens per second per user, and latency and throughput tradeoffs by workload. - Comfortable owning a strategy that other organizations execute. Technical depth in both network fabric topologies and inference serving stacks. - Concise, quantified written communication for executive audiences. Preferred Qualifications - Experience at both a silicon or systems vendor (for example, the CUDA, ROCm, or oneAPI ecosystems, or an inference accelerator startup) and at a model lab or inference provider. - Has closed and delivered at least one co-optimization engagement with a model provider. - Contributions to, or close working relationships with, the vLLM, SGLang, llm-d, PyTorch, or MLIR communities. - Exposure to hardware sales cycles: racks, data center constraints (power, cooling, density), and financing-backed deals. - Has run joint go-to-market with networking, storage, or compute vendors that share a common buyer. Base Salary Range: Base Pay Range $243,000 - $297,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Applied Scientist
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 ROLE Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR • You have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You’re an expert with PyTorch or JAX. • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don’t need roadmaps: you just do. You don’t need a manager: you just ship. • Low-ego, collaborative and eager to learn. • You have a track record of success through personal projects, professional projects or in academia. NICE TO HAVE • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning, Computer Science & Engineering), but if you’re an exceptional candidate from a different background, you should apply. • Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series). • Have contributed to a large codebase used by many (open source or in the industry). • Have a track record of publications in top academic journals or conferences. • Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Design Program Manager, AI Evals (London, United K...
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Figma's AI capabilities expand, so does the work required to evaluate them. We're looking for a Design Program Manager, Evals to own the operating engine behind our design eval programs - the contractor and vendor operations, program rhythms, and quality standards that determine how fast and how well we can assess AI-generated design output. You'll help set the quality and velocity bar across the entire eval pipeline, and shape where our contractor and vendor investment goes. You'll be a close operating partner to our Design Director for AI Research, working alongside design program management and technical program management counterparts across the organization. You'll own the day-to-day - hiring and enabling contractors, managing vendor logistics and budgets, keeping eval workstreams moving - while building a point of view on how the program should evolve. You should be able to look at design output, speak credibly to craft, and translate that judgment into standards others can apply consistently. What you'll do at Figma: - Drive quality and velocity across the design eval pipeline - running annotation rhythms, raising calibration and judgment standards, and closing the loop between eval output and product decisions - Set the standard for high-quality reference designs so the eval pipeline has a reliable benchmark for what good looks like - Own contractor hiring end to end: sourcing, screening, and closing - including the judgment call on when to scale headcount up or pull back based on eval demand - Manage vendor logistics - budgets, SOWs, contracts, and purchasing - partnering with Legal, Security, and Procurement - Run day-to-day program management for contractors and eval workstreams: status, blockers, timelines, and dependencies - Partner with model designers to review contractor eval output and hold the quality bar - Identify opportunities to automate or remove operational overhead across eval workstreams, including through internal tooling We’d love to hear from you if you have: - 3+ years of experience in design program management, DesignOps, or an adjacent design role - Deep craft expertise - you can speak to UI judgment and coach others on what good design looks like - Experience procuring, onboarding, and managing design contractors or third-party vendors - Experience driving operational programs that improve how teams work: rituals, processes, and documentation - Strong project management and written communication skills, including coordinating contractors and vendors across multiple time zones While it’s not required, it’s an added plus if you also have: - Hands-on depth with Figma's product offering — auto layout, variables, components, Slides - Experience orchestrating AI tools, APIs, or workflow automations to simplify program management work - Hands-on experience running or participating in design eval or quality review programs At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
Staff Engineer, Support Experiences
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it. Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive. What you’ll do As a Staff Engineer on an established team, you will bring technical leadership and set the technical strategy and architecture for Stripe’s support products. You will mentor and grow senior engineers, build a culture of technical excellence, and serve as a role model for our high engineering standards. As a technical leader, you will drive fast-paced, sustained product delivery while upholding high standards for building reliable, scalable distributed systems that delight our users. Responsibilities - Design, build, and operate production systems, with an emphasis on extensibility, reliability, and usability - Write and review code regularly, setting the pace and elevating standards for the team - Build high-quality end-to-end product experiences, demonstrating deep care for users' needs and serving as a steward of crafting great experiences - Collaborate with cross-functional stakeholders - navigating various types of organizational complexity with the support of your own leadership team - Partner with Engineering Management, Product Managers and key leaders across the company to create and drive toward the longer term vision - Unblock the team to execute against both short-term and long-term roadmaps, making effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation - Improve engineering standards, tooling, and processes - Teach and mentor other engineers to become the next generation of leaders at Stripe Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 10+ years of professional backend or full-stack development experience, including actively writing and reviewing code. - Experience successfully setting and executing on long-term technical strategy for a large product area. - Ability to prioritize competing requirements and stakeholders to iteratively ship new product features, drive alignment and proactive communication. - Proven track record of technical leadership, including meaningfully contributing to the growth of other engineers. - User empathy and a customer-centric approach to problem solving and product development. Preferred qualifications - Experience building software systems for customer support or operations organizations. - Experience leading projects across multiple teams & timezones. - Proficient in JavaScript /TypeScript, Ruby, Java, and React. - Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
Senior Customer Engineer, UAE
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 Location: Dubai, UAE What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Regional Focus: UAE Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Fluency in English (written and spoken). Arabic is a plus. - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. 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 Customer Engineer, Turkey
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 Location: Dubai, UAE What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Regional Focus: Istanbul, Turkey Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Fluency in English and Turkish (written and spoken). - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. 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 Customer Engineer, Saudi Arabia
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 Location: Dubai, UAE What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Regional Focus: Saudi Arabia Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Fluency in English and Arabic (written and spoken). - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. 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.
VP of Security & Infrastructure
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it. What you’ll do - Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets - Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users - Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality - Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact - Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building - Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it - Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features Experience and skills Must have: - 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs - experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving - strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs - product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users - comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required Nice to have: - LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) - prompt optimisation frameworks (DSPy or similar) - feature stores or personalization/ranking experience (relevant to in-app content recommendation work) - healthcare, regulated-industry, or safety-critical AI systems experience - data engineering fundamentals (Spark, Delta tables, Parquet) LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £200,000 - £220,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: - Competitive salary and annual reviews - Opportunity to participate in Flo’s performance incentive scheme - Paid holiday, sick leave, and female health leave - Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents - Accelerated professional growth through world-changing work and learning support - In-person collaboration and work in a hybrid model, with 3 days per week spent in the office - 5-week fully paid sabbatical at 5-year Floversary - Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .
Vendor Operations, Automation
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Vendor Operations focused on automation, you will work horizontally across our safety vendor ecosystem to drive programs that standardize, automate, and scale the processes that keep our operations running. Rather than owning a single vendor relationship in isolation, you will operate across systems, tools, and vendor partners to build repeatable workflows, introduce automation and LLM-based tooling where it drives efficiency, and establish the reporting and communication rhythms that keep senior leadership informed. This is a builder's role for someone equally comfortable in a vendor business review, a process-mapping session, and a dataset full of operational signals. You will: - Lead horizontal programs that scale safety vendor operations by identifying friction across systems and vendor relationships, then designing and rolling out standardized processes and playbooks that improve quality, throughput, and cost efficiency. - Partner with vendors and internal stakeholders to translate operational goals into concrete workflows, SLAs, and success metrics, holding programs accountable to measurable outcomes. - Identify and implement automation opportunities across manual and repetitive processes, including agentic and LLM-based solutions that reduce toil and increase consistency. - Build and maintain reporting that turns large, messy operational datasets into clear signals, including trend analyses and program-health metrics leadership can act on. - Draft and deliver crisp communications and updates for senior leadership, synthesizing program status, risks, and recommendations. - Serve as a connective layer across vendor operations, tooling, and cross-functional partners (Global Scaled Operations, Moderation, Customer Support, Legal, Finance, and Engineering), ensuring changes are coordinated and scaled rather than solved one-off. You have: - 3-5 years of program and/or project management experience, ideally in operations, vendor management, or a trust & safety-related environment (experience interacting with vendors or customer service operations is a strong plus). - A programmatic, systems-level mindset - you naturally look for the reusable process behind a one-off problem and know how to drive adoption across teams. - Hands-on experience automating processes, plus practical familiarity with leveraging LLMs for agentic solutions and a working understanding of basic machine learning concepts. - Experience with or exposure to vendor relationship management, including SLAs, performance reviews, escalations, and partnering to improve delivery. - High proficiency in spreadsheet software (Excel/Google Sheets) and strong data fluency, with the ability to work with large datasets and turn them into reports and recommendations. - Clear written and verbal communication skills, with a proven track record of drafting materials for and communicating with senior leadership. - Basic proficiency in a coding or scripting language (e.g., Python, SQL) to independently explore and contextualize large datasets is preferred, but not mandatory. - Proactive mindset with the ability to thrive in a fast-paced, collaborative, global team setting. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $144,620 - $174,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Product Marketing Manager, Foundational...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Unlike anywhere else in AI right now, Roblox is building AI for creation. The mission of our Foundation AI team is to put generative AI in the hands of millions of creators. Last year, we shipped our first 3D foundation model, which turns text prompt into a production-ready 3D object. We're now pushing further into multi-modal input, like image, video, and 3D assets, and toward 4D, fully interactive worlds, all while developers keep full control of their game rules and physics. Creators use these models to build everything from a single 3D object to an entire playable world, reaching tens of millions of people every day. That end-to-end loop, from a creator's first prompt to a player's first moment inside an experience, is what makes this space different. The story of what these tools can do, and where they're headed, is still largely untold. We are looking for a world-class Senior Product Marketing Manager to define how Roblox communicates the future of AI-powered creation. This is a high-visibility role requiring a blend of technical fluency, narrative craft, and the cross-functional instincts to move quickly in one of the most dynamic spaces in the industry. You will be embedded with our Foundation AI product and engineering teams, earning fluency at the intersection of deep technical innovation and a creator community that cares intensely about what gets built. You will build the brief, run the launch, and shape how millions of creators understand what is possible today and where we’re headed. This role is based in our San Mateo, CA Headquarters on a hybrid model, in-person three days a week, and reports into the Director of Creator Product Marketing. You Will: - Own the positioning and messaging for our Foundation AI products and turn technical capability into narratives that earn trust and drive action with creators. - Use the tools you are marketing. Hands-on product familiarity produces better stories than any spec sheet. - Stay ahead of the AI landscape. Develop a point of view on where Roblox sits and articulate what makes AI-native creation genuinely distinct. - Thread individual launches into a larger arc. In a fast-shipping environment, you build the through-line that shows creators where we are going and why it matters. - Move fast and bring people with you. You have the instincts to act quickly and the relationship skills to keep partners aligned without slowing down. - Close the loop between market and product. You bring creator sentiment and market signals into roadmap conversations just as naturally as you build the external narrative from them. - Think beyond launch day. You are energized by driving adoption and building the sustained education that turns a feature into a habit. You Have: - 8+ years of Product Marketing experience at a high-growth technology company, with a track record in developer tools, AI products, or technical platforms - Genuine curiosity about AI. You follow the space, have opinions about it, and are comfortable enough to use it, experiment with it, and explain it without oversimplifying. - Narrative instinct. You find the “so what” in a dense technical briefing and make complex work legible and worth caring about. - Exceptional written and verbal communication skills, with the range to adapt your voice for a developer community, an exec, or a creative brief. - Proven ability to drive cross-functional alignment. You quarterback GTM across Comms, Legal, DevRel, and Creative and keep things moving without losing people. - Deep creator empathy and a collaborative nature. You build trust with engineering and product partners because you take their work as seriously as they do. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,710 - $300,940 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Machine Learning Engineer, Alt Defense
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ALT DEFENSE? Safety and Civility is Roblox’s #1 priority. The Alt Defense pod is at the front lines of this mission, tasked with solving one of the most difficult adversarial problems on the platform: Alternate Account Detection and Prevention. When bad actors are removed from Roblox, they often attempt to return immediately with new identities. Our goal is to stop them in their tracks. As the Technical Lead for this pod, you will architect and build an industry-leading detection system that operates at a massive scale—processing billions of accounts and identifying recidivism within minutes. You will also be supporting additional use cases for alt detection across the company. You will report to the Senior Engineering Manager of the Account Identity Team. You will: - Lead the technical vision for alternate account detection platform, moving from reactive measures to proactive, near real-time prevention. - Architect high-scale ML systems using Graph Neural Networks (GNNs) and advanced clustering techniques to map relationships across billions of entities. - Solve complex ground truth and training data challenges for adversarial usecases - Build for latency and scale, ensuring that detection happens within minutes of a bad actor’s attempt to rejoin the platform. - Develop innovative adversarial approaches to stay ahead of sophisticated actors who use evolving techniques to mask their identity. - Drive the ML roadmap, identifying opportunities to leverage big data and behavioral signals to improve precision and recall in a high-stakes environment. - Mentor and up-level a pod of high-performing ML and software engineers, fostering a culture of technical excellence and rapid iteration. You have: - MS or PhD degree in Computer Science, Machine Learning, or a related field. - 10+ years of industry experience in Applied ML, with a significant focus on anti-abuse, fraud, integrity, or identity. - Expertise in Graph Learning: Deep experience with Large-scale GNNs (GraphSAGE, PGB, etc.) and unsupervised/semi-supervised clustering at the scale of billions of nodes. - Proven track record of leading complex technical projects from conception to production-level deployment. - Experience with high-throughput systems: You understand the nuances of deploying ML models in low-latency environments where "time-to-detect" is a critical KPI. - Adversarial mindset: You can think like a bad actor to anticipate how they will circumvent detection and build robust defenses against it. You are: - Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats. - Analytical: Excited to investigate large, ambiguous datasets to find the "signal in the noise" of billions of accounts. - User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members. - Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment. - Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $328,610 - $399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Software Engineer- User Behavior
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why User Behavior? You will build the backend systems that fundamentally shift how Roblox responds to unsafe behavior - from reactive, stateless punishment to a personalized, adaptive system that reflects who a user actually is. You will own core backend infrastructure for a new capability at Roblox: a low-latency behavioral data layer, a centralized rules-and-inference engine, and a unified intervention-delivery framework that together let us treat users based on their real risk profile instead of a single point total. This is a rare opportunity to build foundational, high-scale systems that directly shape how Roblox understands and responds to risk across hundreds of millions of users. You will feel a deep sense of responsibility building systems that directly affect millions of users, especially minors, on one of the world's largest platforms. Your work will reduce harm, improve fairness, and help ensure Roblox remains a place where creativity and community can thrive safely. You will: - Build the User Behavior Foundation: Design and operate the low-latency, per-user behavioral data layer that powers real-time safety decisions - aggregating signals like violation history, in-game reports, and behavioral patterns into a single queryable source of truth. - Own the Consequence Engine: Build and evolve the centralized decision engine that combines deterministic rules with ML risk signals into a single, consistent safety decision the authoritative system every consequence flows through. - Own the Feature Restriction Platform: Build a unified, backend-driven framework for delivering safety interventions that any product team can plug into, replacing today's fragmented, feature-specific implementations. - Unify Abuse Reporting: Build the backend that consolidates reporting channels into a single, scalable framework - integrating LLM-based classification, agentic review workflows, and ML models to improve report routing, prioritization, and reporter feedback while meeting global regulatory requirements. - Design for trust and auditability: Build serving infrastructure that meets a high bar for explainability and fairness, since these systems directly determine consequences for millions of users. - Ship code, not just designs: Own end-to-end delivery - from system design through migration, testing, and production operation. You have: - 5+ years of experience building and operating production backend systems at scale, ideally in Go or a comparable statically-typed backend language. - Strong experience designing distributed systems: service APIs (RPC/gRPC), data modeling for high-throughput event ingestion, caching, and low-latency read paths. - Experience building and evolving rules engines, workflow/decision systems, or similarly stateful business-logic services. - Experience with streaming or batch data pipelines feeding a feature store or similar ingestion layer, and comfort partnering with ML engineers who consume that data. - Solid production operations fundamentals: monitoring, alerting, oncall, capacity planning, and incident response for systems with real user-facing impact. - Nice to have: experience in Trust & Safety, fraud, risk, or other adversarial domains; experience with feature stores or ML-serving infrastructure; experience building frontend-agnostic, backend-driven UI frameworks (e.g. server-driven intervention/notification rendering). You are: - A Systems Thinker: capable of designing infrastructure that other teams (ML, feature teams, policy) build on top of, not just point solutions. - A Pragmatic Builder: scrappy and impact-oriented, comfortable turning scattered, undocumented signals and legacy code paths into clean, well-owned services. - Comfortable with Ambiguity: this space is actively being redefined — you'll help set the standard, not just implement one handed to you. - A Reliability-Minded Engineer: you treat testing, migrations, and oncall as first-class parts of the job, not afterthoughts. - Committed to Ethical, Responsible Engineering: dedicated to building systems that are fair, auditable, and operate with the utmost responsibility toward user safety. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Staff Data Scientist (Quantitative Researcher)
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Investment Strategy team is expanding access to sophisticated investment advice by turning high-quality portfolio management into a scalable, intuitive experience for everyday customers. Sitting at the intersection of markets, product, and customer experience, our team combines rigorous investment thinking with a mobile-first product design. We are dedicated to building accessible investing tools that reach and support millions of people! As a Staff Data Scientist (Quantitative Researcher) , you will report to the Chief Investment Officer and play a key role in shaping our investment product offerings. In this role, you will build complex portfolio construction factor models, identify critical areas for methodology improvement, and design high-performing investment solutions. You will also collaborate closely with Product, Engineering, Compliance, and Legal to launch these products and bring them directly to our customers. This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Partner with the Chief Investment Officer and investment leadership to develop, refine, and maintain complex portfolio construction models. - Work with large datasets, including unconventional data sources, to predict and test statistical market patterns, conceptualize valuation strategies, and improve mathematical models. - Backtest and implement financial models and signals in a live trading environment. - Continuously research and analyze new approaches to building portfolio models, applying knowledge of existing and emerging quantitative finance principles, theories, and techniques to inform investment decisions. - Partner with product and engineering teams to help design and execute on complex projects and product launches. - Assist with reviews by Legal & Compliance to develop written policies and procedures when new features are introduced or methodology changes are developed. What you bring - 5+ years of quantitative research, quantitative portfolio construction, or machine learning experience, ideally within asset management, a broker-dealer, an RIA, or broader financial services. - Experience taking machine learning models, research, or quantitative signals into a live investing or production environment. - Strong proficiency in Python and SQL for quantitative modeling, statistical analysis, and working with large-scale datasets. - Strong grounding in statistics, machine learning algorithms, and pattern recognition. - Outstanding communication skills, with a proven ability to translate complex modeling, statistical, or investment concepts for software engineering, product, and compliance partners. - Comfort with ambiguity, high personal ownership, and the ability to work independently to deliver on critical business milestones. What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 - $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 - $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 - $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Technical Program Manager, Manufacturing Operation...
About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to develop and operate increasingly capable AI systems at global scale. The Manufacturing Operations team works across Hardware Engineering, Manufacturing Engineering, Manufacturing Quality, Rack Integration, System Enablement, Supply Chain, Logistics, Deployment, and Hardware Operations to convert complex hardware designs into reliable production systems. We partner closely with ODMs, JDMs, contract manufacturers, and component suppliers to ensure that servers, racks, networking equipment, and supporting infrastructure are manufactured, validated, and delivered at the quality and scale required by OpenAI. About the Role We are seeking a Technical Program Manager to lead manufacturing operations programs across OpenAI’s hardware supply base in Singapore and the broader APAC region. You will own cross-functional execution from new product introduction through production ramp and sustaining operations. You will coordinate manufacturing partners and internal engineering teams around factory readiness, capacity, material availability, build plans, validation, quality gates, issue resolution, and delivery commitments. This role requires strong technical fluency, disciplined program management, and the ability to operate directly with manufacturing partners in fast-moving, high-stakes environments. You should be comfortable working at both the factory floor and executive-review levels, translating complex manufacturing conditions into clear risks, decisions, and recovery plans. This role is based in Singapore and requires regular travel to manufacturing partners across the APAC region. Key Responsibilities - Lead manufacturing operations programs for AI servers, racks, networking systems, and related infrastructure across regional manufacturing partners. - Own integrated program plans spanning NPI, factory readiness, material availability, tooling, test development, qualification, production ramp, and shipment. - Coordinate Hardware Engineering, Manufacturing Engineering, Manufacturing Quality, Supply Chain, Rack Integration, System Enablement, Logistics, Deployment, and Hardware Operations. - Drive manufacturing readiness reviews and establish clear entry, exit, and production-release criteria. - Partner with ODMs, JDMs, contract manufacturers, and suppliers to manage build plans, capacity, production schedules, and delivery commitments. - Track manufacturing metrics including yield, first-pass yield, cycle time, throughput, work in progress, defect rates, rework, quality escapes, and on-time delivery. - Identify material, capacity, process, quality, test, and engineering risks that could affect production or deployment. - Lead cross-functional resolution of manufacturing issues involving hardware, firmware, test systems, supplier processes, quality, or configuration. - Ensure corrective actions have clear owners, deadlines, validation plans, and evidence of effectiveness. - Manage engineering changes, configuration control, deviation processes, and the introduction of design updates into active production. - Coordinate the transition from NPI into sustaining manufacturing with complete documentation, stable processes, trained teams, and clear ownership. - Partner with deployment and Hardware Operations teams to ensure manufactured systems arrive complete, validated, traceable, and ready for installation. - Build dashboards and operating mechanisms that provide clear visibility into production status, constraints, quality, delivery risk, and recovery plans. - Prepare concise updates and decision materials for senior technical and operational stakeholders. - Develop repeatable manufacturing playbooks that support increasing volume, multiple hardware platforms, and a growing global supplier network. Qualifications - 8+ years of experience in technical program management, manufacturing operations, NPI, hardware operations, or a related field. - Experience leading complex hardware products from development through qualification, production ramp, and sustaining operations. - Experience working directly with ODMs, JDMs, contract manufacturers, component suppliers, or factory operations teams. - Technical familiarity with servers, storage, networking equipment, rack-level systems, electronics, or other complex hardware products. - Strong understanding of manufacturing readiness, production planning, capacity management, quality gates, test processes, and change control. - Experience managing cross-functional programs involving engineering, quality, supply chain, manufacturing, logistics, and operations. - Ability to use production data to identify constraints, prioritize risks, and drive measurable improvements. - Experience leading high-severity manufacturing or quality escalations through containment, root cause, corrective action, and verified resolution. - Strong written and verbal communication skills, including the ability to explain technical and operational risks to executives. - A track record of creating structure in ambiguous environments and driving commitments without relying on formal authority. - A bachelor’s degree in engineering, manufacturing, operations, supply chain, or a related technical discipline. Preferred Skills - Experience manufacturing AI infrastructure, GPU servers, high-performance computing platforms, data center equipment, or rack-scale systems. - Experience supporting manufacturing partners and suppliers across Singapore, Southeast Asia, Taiwan, or the broader APAC region. - Familiarity with manufacturing quality methods such as FMEA, control plans, RCCA, 8D, statistical process control, and process capability analysis. - Experience with factory test development, hardware validation, system qualification, or production telemetry. - Familiarity with ERP, MES, product lifecycle management, supplier-quality, or manufacturing analytics systems. - Experience using SQL, Python, or business-intelligence tools to analyze manufacturing data and automate reporting. - Experience operating through rapid production ramps, constrained supply conditions, or significant product transitions. 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.
Partnerships Operations Lead, OAI for Government
About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government helps public-sector institutions use advanced AI responsibly to improve services and advance critical missions. The Partnerships team builds the external ecosystem and internal operating mechanisms required to deliver that work at scale. Role Summary We are seeking a Partnerships Operations Lead to build and run the operating foundation for OpenAI for Government’s Partnerships team. This person will serve as the operational connective tissue across the partner team, working closely with Account Directors, Solutions Architects, Revenue Operations, Deal Desk, and other cross-functional stakeholders to move opportunities from initial engagement through agreement and execution. They will help ensure a smooth handoff to Technical Success across accounts by establishing clear readiness criteria, capturing the right commercial and customer context, and aligning teams on partner roles, commitments, dependencies, and success outcomes. The ideal candidate is a true utility player who combines the relationship instincts of a growth oriented builder with the rigor of an exceptional business operator. They thrive in ambiguity, create processes that do not yet exist, and move fluidly between deal execution, workflow design, analysis, and cross-functional coordination. Key Responsibilities - Own the end-to-end operating cadence for partner-sourced and partner-influenced opportunities, from intake and qualification through approvals, contracting, launch, and expansion. - Build and continuously improve operating processes, standard procedures, stage gates, decision rights, and service expectations that make partner execution faster and more predictable. - Operationalize new and existing government partner motions—including cloud providers, resellers, and sell-through models—by translating requirements that differ from standard commercial motions into clear workflows, enablement, decision rights, and cross-functional handoffs. - Coordinate deal execution across Account Directors, Revenue Operations, Deal Desk, Legal, Finance, Security and Compliance, Product, Technical Success, and partner teams, ensuring every action has a clear owner and timeline. - Establish a consistent handoff from commercial teams to Technical Success by standardizing readiness criteria, account context, use cases, partner responsibilities, commitments, dependencies, and success plans. - Unblock complex deals by surfacing issues early, driving approvals and escalations, managing exceptions, and closing gaps between functions. - Maintain the operational source of truth for contract milestones, partner launches, handoff readiness, dependencies, and risks, with a high bar for process and data quality; coordinate with Revenue Operations to ensure partner context is reflected in pipeline and CRM data. - Own the government-partner operating cadences for deal execution, launch tracking, and business reviews; coordinate with Revenue Operations on pipeline and forecasting inputs and turn the resulting data into concise insights and actions. - Identify and implement workflow, tooling, and automation improvements that reduce cycle time, eliminate recurring friction, and enable the partner team to scale. Qualifications - 7+ years of experience in operations, Revenue Operations, Sales Operations, Deal Desk, go-to-market business operations, or complex program management. - A track record of building operating processes and cross-functional workflows from the ground up in a fast-moving organization. - Experience supporting the end-to-end deal lifecycle in enterprise technology, public sector, or another complex and regulated environment. - Exceptional program-management skills, with the ability to coordinate multiple high-priority workstreams, stakeholders, decisions, and deadlines. - Strong systems and data orientation, including experience with CRM, reporting, workflow, and collaboration tools. - Ability to move between detailed execution and systems-level problem solving without losing speed, accuracy, or accountability. - Excellent written and verbal communication, sound judgment, and the ability to influence cross-functional teams without relying on formal authority. Nice to Have - Experience operating partner, alliance, channel, or co-sell programs in enterprise technology, cloud, or AI. - Familiarity with public-sector procurement, government contracting, and customer implementation or Technical Success handoffs. You might thrive in this role if you: - Are a true utility player. You are comfortable moving between process design, deal problem-solving, analysis, documentation, and hands-on coordination. - Are a builder. You see ambiguity as an invitation to create clear, durable systems that help teams operate better. - Are deal-oriented. You understand what makes complex opportunities move, anticipate bottlenecks, and bring urgency to the critical path. - Are a cross-functional connector. You translate clearly among commercial, operational, legal, financial, and technical stakeholders and keep teams aligned. - Are a systems thinker. You look for root causes, remove recurring friction, and use data and automation to improve how work gets done. - Take ownership with low ego. You are calm under pressure, highly reliable, and willing to do whatever is needed to help the team and its customers succeed. 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.
Android Engineer, ChatGPT Library Team
About the Team The ChatGPT Library team is building the place where people can save, organize, rediscover, and build on the content they create with ChatGPT. Our goal is to make ChatGPT more useful over time by helping users seamlessly return to important files, images, conversations, and other content across their devices. The team works at the intersection of product engineering, design, and AI research to create intuitive, personalized experiences that make users’ content easy to find and act on. On Android, we are focused on delivering fast, reliable, and deeply native experiences that put a user’s evolving body of work at their fingertips. About the Role We are looking for a senior Android engineer to help build the future of ChatGPT Library on mobile. You will own high-impact product experiences across the Android stack, shaping how millions of people save, organize, discover, and interact with their content in ChatGPT. In this role, you will: - Build and ship new Android experiences that help users easily access, organize, and build on the content they create with ChatGPT. - Own features end to end—from early product exploration and technical design through implementation, experimentation, launch, and iteration. - Develop scalable, maintainable foundations that allow Libraries experiences to evolve quickly as new AI capabilities emerge. - Improve the architecture, performance, reliability, and responsiveness of content-rich experiences across a wide range of Android devices. - Thoughtfully integrate Android platform capabilities to create experiences that feel intuitive and native to mobile. - Partner closely with product, design, research, data science, and engineering teams to translate emerging AI capabilities into useful, polished products. - Help establish technical direction and raise the quality bar for Android development across the team. How We Work We care deeply about building products that are intuitive, useful, and trustworthy. We move quickly from ideas to working experiences, learn from how people use the product, and continuously refine what we build. Engineers are involved throughout the product-development process and have meaningful ownership over both technical decisions and the user experience. The Libraries team operates in a fast-moving and highly collaborative environment. We value strong judgment, thoughtful experimentation, technical excellence, and a willingness to navigate ambiguity as we define an entirely new category of AI-powered personal computing. You Might Thrive in This Role If You: - Have a strong track record of building and shipping high-quality Android products used at scale. - Bring deep expertise in Kotlin, Jetpack Compose, the Android SDK, and modern Android architecture and development practices. - Care deeply about product quality, including performance, reliability, accessibility, responsiveness, and visual polish. - Enjoy owning complex product experiences across the full Android stack. - Have strong product instincts and are energized by turning ambiguous ideas into simple, intuitive user experiences. - Design scalable and maintainable systems that enable other engineers to move faster. - Work effectively across engineering, product, design, research, and data science. - Are excited to build zero-to-one experiences and adapt quickly as AI capabilities and user expectations evolve. If you’re excited about shaping how people organize, rediscover, and build on everything they create with ChatGPT, we’d love to hear from you. 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.
Experiential Designer - Events
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 $11B - 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 Experiential Graphic Designer to join our in house creative team. You'll support graphic design elements across our global experiential marketing, from small to mid scale activations through to Summits, as well as general brand graphic design work as needed. Projects span Trade Show event booths, environmental graphics, and a growing number of regional pop ups, with an ambitious growth plan into 2027 across more events and regions. You'll work closely with the Creative Direction lead for Experiences & Events, translating brand and creative direction into graphics that hold up across very different local and regional contexts, while keeping the high bar for how ElevenLabs shows up in the world. You'll need to think in materiality and space, how graphics sit on different surfaces, how they interact with architecture, lighting, and movement through a room, to create a full experience rather than a flat graphic applied to a wall. REQUIREMENTS - Proven design credentials with a strong conceptual foundation, and experience taking projects from concept through design to delivery - A spatial eye, with understanding of spatial and architectural principles, and genuine interest in how graphics combine with materiality and physical space to create experience - Advanced in the Adobe suite (Illustrator, Photoshop, InDesign, etc) - A strong interest in AI, and confidence using it as part of your design process - Ability to advocate for your ideas, connect across departments, and take ownership of planning and timescales to deliver high quality work YOUR DAY TO DAY WILL INCLUDE - Working across global projects, bringing concepts to life and working independently - Projects ranging from simple tradeshow booth graphics through to environmental graphics and art direction across large experiential projects - Developing a design language across projects, evolving it across applications, environments, and the broader channel mix - Contributing to ideation with the wider brand team - Clearly presenting your thinking to internal teams and partners - Delegating tasks to junior designers, artworkers, or external partners when working with you on a project - Creating artwork ready files where required LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. 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.
Executive Assistant - Revenue
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 $11B - 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 ElevenLabs moves fast - and behind every high-performing leader is someone who makes sure nothing slips. This is a high-trust, hands-on role for someone who thrives in dynamic environments, holds themselves to a high standard, and takes genuine pride in making their lead's life easier - down to the small, considered details that others overlook. You'll be the operational backbone for senior leadership - managing calendars, coordinating across time zones, handling logistics, and owning the day-to-day administrative tasks that let leadership focus on what matters most. In this role, you will: - Own calendars and time allocation for revenue leadership team, making trade-off calls independently against stated priorities - Prepare executives for every meeting: pre-reads, context, and the decision needed - including board and investor sessions - Capture actions out of meetings and chase them to completion - Triage executive inboxes and draft correspondence - Automate the mechanical parts of the role - briefing prep, triage, scheduling, recurring reporting - Run discrete projects: board logistics, executive travel, offsites, and the revenue team's operating cadence Requirements - Experience supporting multiple senior executives in a high-velocity environment - Strong organisational skills with the ability to manage competing priorities, shifting timelines, and multiple stakeholders - Exceptional written and verbal communication skills, with the ability to communicate effectively with a wide range of stakeholders, from senior executives and partners to vendors and office guests - Proven judgment and problem-solving skills - Fluency with AI tools and a track record of automating your own work - come ready to show what you've built - High emotional intelligence and discretion - trusted with sensitive information - Fluency in English 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.
Senior Manager, EHS - Robotics
About the Team OpenAI's Environmental, Health & Safety (EHS) team partners across the company to enable safe, responsible growth. This role will be a senior EHS partner to our robotics operations as our operating footprint expands. You will work closely with Robotics, Engineering, Operations, Facilities, Workplace, Construction, Security, People, Legal, and external partners to integrate safety into how our facilities are designed, built, staffed, and operated. About the Role We are seeking a Senior Manager, EHS - Robotics to provide senior, hands-on safety leadership across multiple sites. This role is for an experienced EHS leader who can operate independently in a fast-moving technical environment, anticipate risk before it becomes an incident, and build practical safety systems that scale with the business. Our robotics operations are scaling quickly, with a growing mix of construction, commissioning, workforce expansion, and around-the-clock operations. This creates a complex and evolving risk environment and requires strong preventive planning, consistent field presence, and sustained incident-management oversight. This leader will own site-level EHS strategy and execution for the robotics portfolio while partnering with the broader EHS team on company-wide standards and programs. The successful candidate will look around corners: planning for future ramps, identifying requirements early, influencing design and operating decisions, and creating durable systems that enable teams to move quickly without compromising safety. In this role you will: - Serve as a senior EHS partner across robotics R&D operations, owning site-level safety strategy, priorities, and execution as the footprint scales. - Anticipate EHS requirements for new operations, equipment, processes, construction phases, staffing ramps, and 24/7 operations, and translate them into practical plans before work begins. - Lead proactive risk identification and control across robotics activities, including machine safety, ergonomics, electrical safety, material handling, hazardous materials, contractor safety, and other site-specific risks. - Build and maintain site EHS programs, risk assessments, procedures, training, inspections, corrective-action systems, emergency preparedness, and compliance processes appropriate to each site's risk profile. - Partner with Robotics, Engineering, Operations, Facilities, Workplace, Construction, Security, People, Legal, and vendors to embed safety into facility design, equipment deployment, work planning, and operating decisions. - Provide visible field leadership across shifts and operating conditions, establishing mechanisms that support effective EHS coverage and escalation for 24/7 operations. - Lead incident response and investigation for significant events; ensure timely fact-finding, root-cause analysis, corrective actions, verification, trend analysis, and communication of lessons learned. - Use incident, near-miss, inspection, and operational data to identify recurring risks and drive preventive actions across sites rather than addressing events in isolation. - Oversee contractor and contingent-worker safety interfaces, clarifying responsibilities, expectations, reporting, and corrective-action ownership across multi-employer worksites. - Maintain strong regulatory compliance and readiness, including applicable Cal/OSHA and OSHA requirements, while developing metrics and reporting that make site risks, actions, and performance visible to leadership. You’ll thrive in this role if you have: - 15+ years of progressive EHS experience, including significant leadership responsibility in robotics, advanced manufacturing, R&D, industrial, or similarly complex technical environments. - Strong technical knowledge across occupational safety and health, with depth in areas such as machine safety, ergonomics, electrical safety, hazardous energy, material handling, hazardous materials, contractor safety, and incident investigation. - Demonstrated experience supporting complex sites through rapid scale, construction and operational overlap, commissioning, process change, or transition to extended or 24/7 operations. - Strong working knowledge of OSHA and Cal/OSHA requirements and the ability to translate regulatory obligations into practical, scalable operating programs. - Demonstrated success influencing senior technical and operational leaders, especially where EHS does not directly own the work and decisions must be made through partnership. - Experience building EHS systems, programs, metrics, vendor support, and operating rhythms for an emerging or rapidly scaling organization. - Strong judgment and the ability to balance operational speed, technical complexity, workforce needs, compliance, and risk without defaulting to overly rigid solutions. - Clear, credible communication skills with executives, engineers, operators, contractors, employees, and external partners, including the ability to communicate during high-pressure incidents. - Comfort operating independently in ambiguity, with the technical depth, field orientation, pragmatism, and ownership needed to anticipate what is coming and build durable safety capability ahead of growth. 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 Program Manager, Governance
About the Team OpenAI’s Governance team helps shape how the company responsibly develops and deploys increasingly capable AI. We bring together technical evidence, policy, and operational perspectives to help the company address emerging risks, resolve difficult questions, and make well-supported decisions. Our work includes shaping and improving governance practices, supporting effective oversight, developing clear assessments and recommendations, and ensuring that decisions lead to action. We work closely with research, safety, security, legal, and product teams to identify gaps, reconcile different views, and improve our approach as capabilities and circumstances change. About the Role We are looking for a curious, high-agency Research Program Manager who can reason from first principles, make sense of incomplete or conflicting information, and move difficult work forward. You will help shape the substance of governance reviews, connect ideas and evidence across teams, and develop recommendations that are both well-founded and practical. The work requires someone who can use established approaches where they fit, recognize when circumstances call for a different approach, and update their thinking as new evidence emerges. You should bring sound judgment, a willingness to experiment and learn, and the program-management discipline to turn good analysis into action. Depending on your experience and the team’s needs, your work may focus on safety advisory and board-level oversight, deployment governance, or standards and strategic partner commitments. In this role, you will: - Bring together technical, policy, and operational inputs to develop coherent assessments, recommendations, and decision materials for governance bodies and senior leaders. - Work through emerging or ambiguous questions, test assumptions, identify gaps or conflicting evidence, and help determine what additional analysis or decisions are needed. - Engage critically with research, evaluations, safeguards, and risk assessments, working with the relevant experts to understand what the evidence supports and where uncertainty remains. - Partner with governance-body chairs, technical leaders, and other stakeholders to shape substantive reviews, frame the questions that matter, and communicate conclusions clearly. - Translate feedback, recommendations, and decisions into concrete work with accountable owners, milestones, dependencies, and clear criteria for completion. - Drive that work forward across teams, resolve blockers, surface difficult tradeoffs, and escalate disagreements or resource gaps when needed. - Help teams understand which governance processes apply, integrate reviews into research and deployment plans, and identify changes that require further consideration. - Maintain clear records of decisions, rationale, conditions, commitments, exceptions, and unresolved questions. - Help improve governance practices, standards, and guidance as capabilities, evidence, and circumstances evolve. - Build and refine practical tools, operating cadences, and sources of truth that improve the quality and pace of the work. - Develop trusted relationships across Research, Safety Systems, Preparedness, Security, Legal, Product, leadership, and relevant external partners. You might thrive in this role if you: - Have experience leading complex, cross-functional work in a research, technology, policy, safety, security, governance, or related environment. - Take initiative, move quickly, and find practical ways forward when ownership, requirements, or the path to an answer are unclear. - Are intellectually curious and can learn unfamiliar subjects well enough to ask sharp questions, test an argument, and recognize when deeper expertise is needed. - Can synthesize complicated or conflicting information without losing important distinctions, limitations, or uncertainty. - Write clearly and precisely, particularly when explaining difficult issues and recommendations to senior decision-makers. - Bring strong program-management fundamentals and a record of turning ambiguous requests into work that gets finished. - Exercise sound judgment in sensitive situations, navigate disagreement constructively, and know when to act independently or seek a decision. - Are willing to try new approaches, learn from feedback, and change your mind when the evidence changes. - Build useful structure without adding unnecessary process. - Care deeply about the responsible development and deployment of increasingly capable AI systems. Helpful experience: - Research program management or strategy and operations in a technically complex organization. - AI safety, preparedness, model evaluations, cybersecurity, or technical risk management. - Advisory committees, board-facing work, executive decision support, or other consequential reviews. - Translating policies, standards, or governance decisions into practical requirements and programs. - Strategic partnerships or sensitive deployment contexts. 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.
Quality Engineer, Rack Infrastructure & Site Opera...
About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standards, and supports reliable, scalable operations. Key Responsibilities - Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules. - Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases. - Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks. - Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations. - Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals. - Mentor supplier teams and provide structured feedback to drive continuous improvement. - Audit quality activities at supplier sites to verify compliance with requirements and lead corrective and preventive action plans for audit findings and quality nonconformances. - Facilitate root cause analysis and drive systemic process improvements for recurring manufacturing issues and DC quality and reliability issues. Travel - Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities. Qualifications - 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations. - Bachelor’s degree in engineering, manufacturing, construction management, or related field (or equivalent work experience). - Demonstrated ability to analyze data, solve problems, and improve manufacturing processes. - Proven track record managing deliverables for complex projects or supplier programs. - Strong communication skills with experience influencing both technical and executive audiences. Preferred Skills - Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components. - Experience in supplier performance management for mission-critical facilities. - ASQ Certified Quality Engineer, Quality Manager, Quality Auditor or Lean Six Sigma certified Green Belt. - PMP or equivalent project management certification. - Experience in industrial or high-volume manufacturing environments. 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.
Hardware Strategic Sourcing Manager, Optics
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: - Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. - Own sourcing across optical fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, standalone passive optical assemblies, FAUs, fiber-to-chip interfaces, detachable connectors, and optical routingDevelop a deep understanding of the optical supply chain, including critical raw materials, fiber and cable manufacturing, connector ecosystems, component manufacturing, assembly and test capacity, and key sub-tier dependencies. - Identify, evaluate, qualify, and manage suppliers across the fiber and optical interconnect ecosystem, including fiber manufacturers, cable and assembly suppliers, connector manufacturers, optical component suppliers, fiber suppliers, connector/ferrule suppliers, FAU suppliers,manufacturing partners. - Lead RFIs, RFPs, and RFQs; establish evaluation criteria; coordinate technical and commercial assessments; and recommend sourcing decisions aligned with performance, cost, supply security, quality, capacity, and scalability requirements. - Partner with engineering teams to evaluate supplier capabilities across optical performance, insertion loss, return loss, signal integrity, bandwidth, power consumption, reliability, thermal performance, mechanical robustness, manufacturability, and production readiness. - Partner with engineering to understand technology roadmaps and translate next-generation system requirements into sourcing strategies, supplier development plans, and long-term capacity requirements. - Negotiate supplier agreements covering pricing, engineering support, nonrecurring engineering, tooling, manufacturing and test capacity, lead times, quality requirements, intellectual property, warranties, service levels, and long-term supply commitments. - Develop and maintain detailed cost models and pricing frameworks covering fiber, connectors, cable and assembly content, optical and electronic components, manufacturing, testing, yield, logistics, supplier margins, and total cost of ownership. - Drive competitive cost structures through should-cost analysis, open-book pricing, benchmarking, volume agreements, value engineering, supplier competition, and multiyear cost-reduction roadmaps. - Collaborate with engineering and manufacturing teams to support supplier qualification, design reviews, component selection, validation, pilot builds, system bring-up, production readiness, and ramp to volume. - Establish sourcing and capacity strategies that address long lead times, constrained manufacturing capacity, sub-tier dependencies, supplier concentration, geographic and geopolitical exposure, technology transitions, and component lifecycle risks. - Develop multi-source and supply-continuity strategies for critical optical components, identifying where supplier concentration or specialized manufacturing capabilities create risk to development or production ramps. - Work with suppliers to secure capacity ahead of demand, including visibility into raw materials, manufacturing equipment, assembly capacity, test capacity, yield, and sub-tier constraints that could limit system production. - Build and manage strategic supplier relationships through executive engagement, business reviews, performance scorecards, issue escalation, corrective action plans, and alignment on future fiber and optical-interconnect technology roadmaps. - Partner with finance, legal, security, quality, and operations teams to ensure sourcing decisions meet technical, commercial, compliance, and risk-management requirements. - Develop repeatable processes and reporting for category strategy, supplier performance, pricing, capacity planning, component availability, and supply risk, including relevant ERP, MRP, and PLM workflows. You might thrive in this role if you have: - Ten or more years of experience in strategic sourcing, procurement, supplier management, or supply-chain leadership within optical communications, fiber optics, high-speed interconnects, semiconductors, networking hardware, data-center infrastructure, or advanced hardware manufacturing. - Demonstrated experience sourcing fiber-optic components, optical cable assemblies, sourcing fiber connectivity, passive optical assemblies, optical packaging/assembly services, or similar high-volume hardware-integration categories.Strong familiarity with the fiber and optical interconnect supply chain, including cable assemblies, harnesses, fiber shuffles, backplanes, FAUs, fiber-to-chip interfaces,optical packaging services.electronics, assembly, test, and associated manufacturing processes. - Experience evaluating optical and interconnect suppliers against technical requirements such as bandwidth, insertion loss, signal integrity, reliability, thermal performance, power, quality, manufacturability, and production readiness. - Understanding of the technical and supply-chain challenges associated with scaling high-speed optical connectivity in AI, hyperscale data-center, or high-performance computing environments. - A proven track record of leading competitive sourcing processes, negotiating complex commercial agreements, and building long-term supplier partnerships. - Expertise in should-cost modeling, open-book pricing, total cost of ownership, supplier cost structures, and commercial optimization for hardware components and assemblies. - Experience securing supplier capacity and managing supply constraints across complex, multi-tier global supply chains. - Experience supporting supplier qualification, product development, manufacturing readiness, program bring-up, production ramp, and ongoing supplier performance management. - The technical credibility to collaborate effectively with optical, electrical, signal-integrity, systems, manufacturing, and reliability engineers and translate engineering requirements into actionable sourcing strategies. - Strong analytical judgment and the ability to balance cost, performance, supply continuity, quality, capacity, and delivery across a complex supplier ecosystem. - Experience working with global suppliers and identifying opportunities to improve supply resilience, production capacity, and long-term technology alignment. - Comfort operating in a fast-moving, ambiguous environment and building scalable sourcing processes where established playbooks do not yet exist. - A commitment to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. 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.
People Lead, UK
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since last September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are hiring our first People team member on the ground in London - the person who builds and runs the people foundation for the UK as our London office grows from a small team today into one of Modal’s core hubs. You‘ll help build out of the people function in London end to end, ensuring we create the best environment for our team. You will be the person who meets a new hire on day one, the person anyone on the team goes to when something comes up, and the owner of all things people operations (systems, benefits, onboarding). This is a foundational, high-ownership role. We’re looking for someone who wants to build a region, and who is energized by being the go-to person from everything People in London. WHAT YOU’LL DO: PEOPLE OPERATIONS & COMPLIANCE - Own core people operations for the London team - onboarding, offboarding, payroll coordination, and benefits administration so every experience is smooth and nothing falls through the cracks. - Be the first, trusted point of contact for London employees on questions about policies, benefits, pay, and people matters, handling sensitive topics with clarity, discretion, and pragmatism. - Support managers on the ground: help them set their teams up well, spot early performance or people issues, and know when to loop in the broader People team. - Keep our people data clean and current in our systems (departments, titles, managers) as we stand up a single global source of truth, and help operationalize the new HRIS locally. - Make sure our UK benefits are competitive and in line with the local market, and that time-off and policy messaging is clear and consistent for the London team. - Own the people side of building out Modal’s UK presence - partnering with external vendors and global people operations to keep us compliant with UK employment. WORKPLACE & OPERATIONS - Keep the London office running smoothly day to day (space, supplies, setup) and be a thoughtful steward of a welcoming, functional environment. - Own local events, team bonding, and the in-office experience that makes London somewhere people want to be. - Coordinate with vendors and building management as needed. RECRUITING OPERATIONS - Own local recruiting operations for the London office in partnership with our global Talent team, including interview logistics and candidate experience on the ground. REQUIREMENTS: - 5+ years experience in a People Ops or People & Talent generalist role, ideally in a fast-growing tech environment - Working knowledge of UK employment norms, compliance, and labor environments - Comfortable working autonomously and owning outcomes with minimal oversight - you see gaps and fix them - Strong organizational skills and attention to detail - you notice what others miss - Clear, thoughtful communicator with candidates, employees, and stakeholders - Comfortable shifting between strategic thinking and hands-on execution - Excited to be a foundational hire and help build people processes from the ground up
Product Designer, Youth
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Youth team is focused on making AI safe, useful, and empowering for young people. Our work spans foundational protections—including age assurance and always-on safety—as well as new learning and education experiences. We’re also exploring how OpenAI’s technology can support K–12 schools, educators, classrooms, and collaborative learning. About the Role We’re looking for a staff-level product designer to shape how young people safely engage with AI and help define OpenAI’s emerging education experiences. You’ll work across immediate product needs and ambitious zero-to-one opportunities, from age-appropriate safety systems to tools for learning and group work. A high craft bar is imperative. You’ll be expected to pair exceptional interaction and visual design with deep product thinking—turning complex questions around safety, learning, and institutional needs into experiences that feel clear, trustworthy, and engaging. This is a highly generative role for someone who can move from early exploration to concrete, high-fidelity product direction. You’ll partner closely with product, engineering, research, safety, policy, and design to establish durable patterns for a space that is still being defined. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: - Establish an exceptionally high standard for craft across OpenAI’s youth and education experiences. - Lead end-to-end design for products that help young people use AI safely, confidently, and productively. - Design clear, age-appropriate experiences for safety, age assurance, and other sensitive or high-trust interactions. - Shape zero-to-one K–12 experiences spanning school districts, educators, classrooms, collaborative work, and builder-style workflows. - Turn emerging ideas into compelling concepts, prototypes, and high-fidelity product experiences that teams can evaluate and build. - Partner with research, engineering, product, safety, policy, and design to balance user needs, technical capabilities, and responsible deployment. - Conduct and apply research with relevant users and partners to understand the needs of young people, educators, and institutions. - Develop reusable patterns and principles that create coherence across youth and education products as the area grows. You might thrive in this role if you: - Bring exceptional interaction and visual design craft and are motivated to raise the quality of design across OpenAI. - Are a highly generative designer who explores broadly, iterates deeply, and turns ideas into concrete, polished product direction. - Pair strong craft with deep product and systems thinking. - Have led substantial, ambiguous, or zero-to-one product areas and can help shape both vision and execution. - Can design thoughtful experiences for sensitive, high-trust, or safety-critical contexts. - Understand how to create products that are engaging and intuitive without compromising safety or clarity. - Can navigate the needs of multiple audiences, including young people, educators, administrators, and institutional partners. - Communicate clearly, build alignment across disciplines, and remain hands-on throughout the product-development process. - Are energized by the opportunity to define how AI can support learning while serving young people responsibly. 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.
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