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Updated 14 Nov 2026, 08:41 UTC

Staff AI Engineer | Canada | Remote

Negotiable

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Service

👤 HumanFull-timeRemoteExpert / Staff+

By Grafana LabsJul 19, 2026

Account Executive Lead - LATAM - Mid Market

Negotiable

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. As GTM Lead for LATAM Mid Market, you will be the strategic force behind scaling and optimizing our commercial AE organization across Spanish-speaking Latin America and Brazil. You'll own both revenue outcomes and team performance across the region. In this role, you will: 1. Set go-to-market strategy, quotas, segmentation, and territory design across LATAM mid-market accounts including Mexico, Colombia, Argentina, Chile, and Brazil. 2. Lead, coach, and scale a team of Mid-Market AEs, recruiting, enabling, and driving results across multiple markets and languages. 3. Monitor pipeline health, forecast, and improve conversion metrics across stages. 4. Define sales playbooks, sales motions, objection frameworks, and deal models tailored to voice AI and conversational use cases in the LATAM context. 5. Partner with marketing, product, growth, and customer success to align messaging, positioning, and cross-sell and expansion motion across the region. 6. Build feedback loops, gathering insights from LATAM prospects and clients to guide product roadmap and regional positioning. 7. Own key strategic deals yourself, especially early and major logos, to lead by example. Requirements: - 5+ years of SaaS or technology sales experience as a top performer, prior sales leadership experience of 2+ years preferred - Proven track record scaling AE teams and surpassing revenue ta

👤 HumanFull-timeSenior

By ElevenLabsJul 19, 2026

Research Engineer, Discovery

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 The Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership. We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works. Key responsibilities - Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy - Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks - Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on - Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use - Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline - Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists - Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification - Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team - Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling - Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team Minimum qualifications &

👤 HumanFull-timeSenior

By AnthropicJul 19, 2026

Senior Data Engineer, Public Sector

Negotiable

Senior Data Engineer, Public Sector As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance. You will: - Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy - Continually improve ongoing data pipelines and simplify self-service support for business stakeholders - Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics - Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables - Have an active Secret security clearance (Top Secret preferred) Ideally You’d Have: - 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills - Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis - Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R) - Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights 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: $200,000 - $250,000 USD &lt

👤 HumanFull-timeSenior

By Scale AIJul 19, 2026

Senior Data Scientist, Marketing

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring a delivery lead to spearhead contract execution for a critical national security customer. As leader within our Public Sector Delivery team, you will own the account plan, manage day-to-day execution for a flagship customer, and ensure an incredible customer experience. You are the ultimate all-rounder, a hybrid customer success, people influencer, and technical program manager. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside national security & intelligence community customers to scope agentic workflow use cases that Scale’s engineering team will build and refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance with full-scope polygraph (FSP) - 10+ years of work experience succeeding in stakeholder management or customer-facing role - Familiarity with the U.S. intelligence community and national security apparatus as a user base - A basic understanding of the ML operations process including processes underpinning GenAI data labeling, training, and test & evaluation - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - High cross-functional influence and EQ - Willingness to be onsite with a customer in vicinity of Columbia, MD 3+ days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - Professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience managing technical customers - A technical degree in computer science, engineering, or related field - Prior experience owning the technical implementation of solutions to the government - Proficiency in Python, SQL or other programming languages 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

👤 HumanFull-timeSenior

By Scale AIJul 19, 2026

Staff Software Engineer, Billing Platform

Negotiable

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 Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do - Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. - Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. - Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. - Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. - Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. - Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. - Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. - Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you - Have 8+

👤 HumanFull-timeExpert / Staff+

By AnthropicJul 19, 2026

Account Executive, AI Sales (Grower)

Negotiable

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 AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do - Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue - Own the full sales cycle, from business case development, to deal structuring and negotiating, to close - Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams - Drive deal strategy and commercial negotiations for large, complex renewals - Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions - Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship - Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture Minimum requirements - 6+ years of sales experience, preferably selling a technical product, with a track record of top performance - 2+ years leading complex sales cycles with Enterprise organizations required - Ability to understand technical requirements and craft solutions across multiple products - Ability to develop and execute account plans spanning multiple business units across complex organizations - A knack for working well with a wide range of people, both internally and externally - Strong presentation skills, particularly for in-person meetings with multiple stakeholders - Proven ability to lead complex negotiations involving bespoke commercial agreements - Superior verbal and written communication skills - Ability to operate in a highly ambiguous and fast-paced environment - Strong interest in technology and a deep understanding of the space

👤 HumanFull-timeSenior

By StripeJul 19, 2026

Machine Learning Fellow - Human Frontier Collectiv...

Negotiable

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. - Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus. - Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why Join the HFC? - Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. - Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. </li&g

👤 HumanFull-timeExpert / Staff+

By Scale AIJul 19, 2026

Client Partner, Ads Solutions

$239,000 – $273,000

Negotiable

About the Team The Consumer Products team at OpenAI builds the hardware that brings advanced AI technology directly into people’s hands. We design, engineer, and manufacture next-generation consumer devices that combine elegant design, robust engineering, and cutting-edge AI. Our team spans mechanical, electrical, and systems engineering — partnering closely with industrial design, operations, and software to create seamless, high-quality experiences that make AI more accessible and useful. About the Role As a Hardware Engineer on the Consumer Products team, you’ll contribute to the design, development, and integration of complex hardware systems for new AI-driven devices. You’ll work across disciplines to translate early product concepts into reliable, scalable, and beautifully crafted products ready for mass production. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to manufacturing partners may be required. In this role, you will: - Design, prototype, and validate mechanical and electrical subsystems from early development through mass production. - Collaborate closely with design, operations, and manufacturing teams to ensure quality, reliability, and scalability. - Drive DFM/DFA reviews, design iterations, and bring-up of prototype and pilot builds. - Debug complex system-level issues and lead root-cause investigations and resolutions. - Partner with global suppliers and cross-functional teams to ensure flawless execution from concept to launch. You might thrive in this role if you: - Have 6+ years of experience in consumer hardware, consumer electronics, or advanced product development. - Bring deep technical fluency in mechanical, electrical, or systems engineering (cross-disciplinary experience a plus). - Have taken at least one consumer product from concept to mass production. - Are energized by hands-on problem solving, iteration, and building in fast-paced environments. - Value collaboration, craftsmanship, and user experience — and are excited to help shape how people interact with AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeMid

By OpenAISep 2, 2026

Developer Marketing Lead, APAC

Negotiable

About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. About the Role We are seeking an experienced APAC Developer Marketing Lead to build OpenAI's regional strategy for developer audiences across Asia-Pacific. This is a senior role for a marketer who understands technical audiences, can translate global developer priorities into regionally effective programs, and knows how to earn builder trust through useful education, credible storytelling, strong launches, and high-quality ecosystem activation. The role will prioritize developers while supporting startup marketing where builder and founder ecosystems naturally overlap. That includes technical founders, startup builders, founder-developer communities, startup ecosystem moments, and programs that help high-potential startups discover and build on OpenAI. The ideal candidate brings strong developer marketing experience, regional judgment, and the ability to partner closely with Developer Relations, Product Marketing, Product, Growth, Startups, Partnerships, Content, Events, and regional marketing teams. Key Responsibilities - Lead APAC developer marketing strategy across priority markets, audiences, channels, and product moments. - Build programs that improve developer awareness, education, product understanding, adoption, and advocacy. - Translate global developer launches and narratives into regionally resonant activation plans. - Partner with Developer Relations and technical stakeholders to ensure programs are credible, useful, and grounded in builder needs. - Develop repeatable regional plays across content, technical education, developer events, hackathons, builder workshops, community moments, ecosystem partnerships, and builder stories. - Support startup marketing initiatives where startup and developer audiences overlap, including technical founders, startup builders, startup ecosystem moments, founder-led proof points, and programs that create adoption with early-stage builders, while keeping the core mandate centered on developers. - Establish clear operating rhythms, prioritization, measurement, and feedback loops with global and regional partners. - Bring APAC developer insight, market nuance, and ecosystem opportunities into global planning. Qualifications - 10+ years of experience in developer marketing, technical marketing, product marketing for developer products, community-led technology marketing, or integrated marketing for technical platforms. - Proven track record building credible marketing programs for developer audiences. - Experience leading regional or multi-market programs across launches, education, content, events, community, and ecosystem channels. - Strong cross-functional experience with Developer Relations, Product, Product Marketing, Growth, Startups, Partnerships, and regional marketing stakeholders. - Ability to work across strategic planning and hands-on execution in fast-moving, ambiguous environments. - Strong communication, prioritization, and stakeholder management skills. - Clear understanding of how developer trust, technical usefulness, and product adoption connect. Nice to Have - Experience with AI, APIs, developer platforms, cloud tooling, or applied AI ecosystems. - Familiarity with APAC developer communities, technical events, startup ecosystems, accelerators, investors, and founder-builder channels. - Experience working across developer and startup audience overlap, including builder programs, founder storytelling, or startup ecosystem activations. OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work. If you are excited to help developers across APAC discover, learn, and build with OpenAI, we would 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.

👤 HumanFull-timeMid

By OpenAIMay 29, 2026

Distinguished Machine Learning Engineer - Safety

Negotiable

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 Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. You Will: - Own the technical direction and implementation of machine learning solutions for safety-related systems - Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity - Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement - Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness - Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding - Collaborate with cross-functional teams to define and prioritize the machine learning roadmap You Have: - 10+ years of experience delivering and improving large-scale machine learning systems - Proven expertise in creating and launching machine learning models from scratch - Ability to handle data problems, train models with large datasets, and ensure system reliability at scale - Experience with distributed systems, data architecture, and model extraction - Strong programming skills and willingness to be hands-on as necessary - Prior experience in a leadership role with a technical focus, including mentoring engineering teams You Are: - A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas - Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported - Passionate about maintaining deep technical expertise while meeting end-user needs - Knowledgeable about cutting-edge ML technologies, including LLMs - Experienced in NLP or computer vision (preferred) - Familiar with maintaining and evolving safety systems at scale (preferred) </ul&gt

👤 HumanFull-timeExpert / Staff+

By RobloxJul 19, 2026

Enterprise Account Executive, System Integrators

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, System Integrators based in Tokyo, you'll be the critical link between Anthropic and Japan's leading system integrator ecosystem. You'll build and deepen strategic partnerships with major SIers — enabling them to confidently sell, implement, and support Anthropic's AI solutions within their own client portfolios. This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises. Responsibilities: - Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators - Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers — including firms across IT consulting, systems integration, and managed services practices - Lead strategic engagement with senior SIer leadership — including practice heads, solution architects, pre-sales directors, and partner managers — building the technical confidence and commercial alignment needed to close enterprise deals - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively - Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle You may be a good fit if you have: - 8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector - A deep understanding of how Japan's SIer ecosystem operates — including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients - A track record of building high-trust, mutually beneficial relationships with SIer organizations, driving consistent revenue through channel partnerships rather than direct sales alone - Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments — balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives - Proven experience developing and executing partner enablement programs — including technical training, sales toolkits, and co-marketing initiatives — that meaningfully increase a partner's ability to sell and deliver - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to evaluating and prioritizing SIer partnerships combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit</li&g

👤 HumanFull-timeSenior

By AnthropicJul 19, 2026

Senior Researcher, WHOOP Labs Doha

Negotiable

Senior Researcher, WHOOP Labs Doha at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Research, Machine Learning, Data Collection, Software Project Management, Customer Service, Physiology, Biotechnology, Exercise Science, Consumer Engagement, JIRA, Adaptability, Project Collaboration. Locations: Doha, Qatar. Work mode: on site.

👤 HumanFull-timeSenior

By WHOOPJul 19, 2026

Account Associate, Japan

Negotiable

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role We are looking for a senior, high-agency Account Associate to help build and scale our Japan Strategic & Large Enterprise, DNB and Startup motion. This person should be able to create pipeline through thoughtful outbound, strong discovery, disciplined follow-up, and clear stakeholder mapping. This is not a junior execution role. It is a front-line role for someone who can help shape the motion while working closely with Account Directors, technical teams, and HQ. At the same time, this role is designed as a launchpad for future sellers at OpenAI. It’s a highly strategic position with meaningful exposure to enterprise sales, product, and customer strategy. You’ll build core skills in discovery, stakeholder mapping, deal shaping, and executive communication, while developing a deep understanding of how leading companies adopt AI. Recommended Seniority - 7-10 years of total work experience - 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AE, or similar GTM roles - Some closing or full-cycle sales experience is strongly preferred We’re looking for individuals with 6+ years of total work experience who are motivated to grow into world-class enterprise sellers over time. Many people in this role go on to become Account Directors or take on broader GTM roles, but progression is based on performance and business needs rather than a fixed timeline. In this role, you’ll identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction opportunities for our Enterprise and Strategic Accounts teams. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will: - Run high-quality outbound motions tailored to Japan Strategic & Large Enterprise, DNB and Startup accounts - Turn product usage, inbound interest, pilot activity, and outbound efforts into qualified pipeline - Partner with Account Directors on account strategy, multi-threading, and deal progression - Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness - Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals - Build and iterate on AI-enabled GTM workflows (GPTs/Agents) to scale prospecting and qualification - Provide local market feedback to HQ and help improve playbooks for Japan Must-Have Qualifications - Native or near-native Japanese, with strong business communication skills - Business-level English, with the ability to work effectively with HQ and cross-functional teams - Strong track record in B2B SaaS, technology sales development, startup sales, or similar roles - Proven ability to generate pipeline through outbound prospecting and inbound qualification - Strong discovery skills, follow-up discipline, and stakeholder mapping ability - Comfortable speaking with technical buyers such as Product, Engineering, IT, Data, or Security stakeholders - High ownership, strong judgment, and comfort operating in an ambiguous and fast-moving environment Preferred Qualifications - 7-10 years of total work experience - 3-5+ years of relevant experience in SDR, BDR, inside sales, startup sales, enterprise/commercial AD, or similar GTM roles - Some closing or full-cycle sales experience is strongly preferred - Can build trust quickly with Japanese customers - Experience in startup or high-growth environments selling into regulated or complex industries (Financial Services, Life Sciences, Retail) - Some closing or full-cycle sales experience and a track record of consistently hitting and exceeding ambitious targets - Experience selling API, developer tools, cloud, data, security, or other technical products - Strong hands-on experience using AI, with a deep interest in the landscape and the ability to translate OpenAI products into clear, tangible business value for customers - You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership - Can act as a strong bridge between Japan market needs and HQ 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.

👤 HumanFull-timeMid

By OpenAIJul 9, 2026

Industry Principal, Life Sciences

Negotiable

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. As the Life Sciences Industry Advisor at Anthropic, you will serve as the technical and scientific face of Claude to the world's leading pharmaceutical companies, biotechs, contract research organizations, and research institutions. You'll combine deep life sciences domain expertise with technical credibility to help customers envision, architect, and realize transformational AI solutions across the drug discovery and development lifecycle — while building Anthropic's reputation as the trusted AI platform for one of the most rigorous and regulated industries in the world. This role sits at the intersection of scientific leadership, customer engagement, product strategy, and internal enablement. You'll work directly with Chief Scientific Officers, Chief Medical Officers, Heads of R&D, Chief Digital & Data Officers, Heads of Regulatory Affairs, and computational and translational science leaders at major biopharma and research organizations to design solutions that address their most critical challenges — from literature synthesis and hypothesis generation to bioinformatics, clinical trial design, and regulatory submission. Your insights will flow directly to Product and Research, shaping Claude's roadmap for life sciences. Equally important, you'll enable Anthropic's GTM teams with deep domain expertise, thought leadership content, and strategic guidance. With AI poised to compress drug development timelines and the industry seeking partners who understand the science, the workflows, and the regulatory bar, you'll play a pivotal role in establishing Anthropic as the AI platform of choice for life sciences worldwide. Key responsibilities - Technical Evangelism & Thought Leadership: Represent Anthropic's scientific and technical vision to the life sciences industry through conference keynotes (e.g., J.P. Morgan Healthcare, BIO, DIA, SLAS, Bio-IT World), executive briefings, whitepapers, and scientific advisory boards. Establish Claude as the leading AI platform across discovery research, translational and clinical development, and regulatory affairs. - Strategic Customer Engagement: Serve as executive technical sponsor for strategic life sciences accounts, engaging CSOs, CMOs, Heads of R&D, Chief Digital/Data Officers, and Heads of AI/Computational Science on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic R&D transformation partner. - Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop life-sciences-specific capabilities including scientific accuracy and citation integrity, GxP/validated workflows, data privacy and security, model governance, explainability, and auditability. - Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with life sciences market insight. Understand value drivers across discovery, development, and commercial functions, competitive positioning, and deal structuring that aligns with how biopharma and research organizations buy technology. - Internal Enablement & Advocacy: Train and uplift Anthropic'

👤 HumanFull-timeExpert / Staff+

By AnthropicJul 19, 2026

Enterprise Account Executive, State & Local Sales

Negotiable

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 State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across South and Central US state and local government agencies. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements - Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements - Create and maintain sales playbooks specific to state and local government use cases and procurement processes - Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 5+ years of enterprise sales experience in the state and local government space, with a proven track record of driving adoption of emerging technologies - Deep understanding of state and local government agency missions, challenges, and technology needs - Demonstrated ability to balance strategic leadership with hands-on sales execution - Experience navigating complex state and local procurement processes and compliance requirements - Strong track record of exceeding revenue targets in the state and local government space - Extensive experience with state and local government contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - Familiarity with state-specific data privacy laws and security compliance frameworks - A passion for safe and ethical AI development, with the ability to arti

👤 HumanFull-timeRemoteSenior

By AnthropicJul 19, 2026

Corporate Communication Lead

Negotiable

$252,000 – $280,000

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields – technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation – who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We are seeking an experienced commercial attorney to join our commercial legal team. Based in the US, you will help lead commercial legal support for OpenAI’s rapidly growing business, working with teams such as GTM, Partnerships, Procurement, Finance, Product, Infrastructure, and Engineering. This is a great opportunity to join OpenAI’s commercial legal team, negotiating high-impact agreements and helping to build scalable frameworks for responsible growth. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week. In this role, you will: - Serve as the legal partner for OpenAI’s business transactions, partnerships, and operations. - Provide practical, business-oriented legal advice to teams including Sales, Partnerships, Finance, Procurement, and Operations. - Identify and address commercial, product, regulatory, privacy, and other legal issues arising from commercial transactions. - Develop strategies and processes for handling legal issues in creative and scalable ways that support growth. - Monitor and advise on regulatory and compliance matters affecting AI and technology. - Collaborate with colleagues across OpenAI’s global legal team to ensure alignment across jurisdictions. You might thrive in this role if you: - Have 7+ years of experience across in-house and technology-focused law firm roles. - Bring a strong background in drafting and negotiating complex commercial contracts. - Are comfortable operating in an entrepreneurial environment, and are proactive and independent. - Communicate with clarity and business judgment, tailoring advice to enable responsible growth. - Build cross-functional relationships and adapt communication styles to diverse audiences. - Have a strong sense of ownership, intellectual curiosity, and enthusiasm for technology. - Can demonstrate sound judgment in ambiguous or fast-changing situations. 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.

👤 HumanFull-timeMid

By OpenAISep 17, 2026

Technical Program Manager, Data Center Infrastruct...

Negotiable

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'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint. Responsibilities: - Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale - Lead program reviews and executive communications on delivery status, risks, and blockers - Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams - Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership - Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand - Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace - Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations - Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites - Drive partner accountability on contractual milestones and commercial commitments - Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships - Build repeatable processes and playbooks that scale across multiple concurrent site deployments - Travel (20%) to sites to validate progress and build contractor relationships You may be a good fit if you: - Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies - Have management experience building and leading TPM or program management teams - Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors - Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables - Can bridge physical infrastructure and software/security teams - Thrive in ambiguity and make decisions with incomplete information under schedule pressure - Communicate complex program status clearly to executives Deadline to apply: None applications will be received on a rolling basis. The annual compensation range

👤 HumanFull-timeSenior

By AnthropicJul 19, 2026

Senior Staff ML Engineer, Search & Recommendation

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Search Recommendations & Relevance team at Reddit is building the next generation of search - one that goes beyond “10 blue links” to deliver real answers, perspectives and conversation from the world's largest corpus of human conversation. We power both Reddit Search and our AI-native Search experience, redefining how users discover and interact with information. Redditors produce the most amazing content about every niche topic in the world – this underleveraged data coupled with modern advances in AI systems is presenting a unique opportunity to quickly build a new kind of search engine. As a Senior Staff, you will design and build a large-scale system that powers end-to-end search relevance at scale. You’ll work across multiple areas of the stack, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, RAG etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Search scale to billions of users. What You’ll Do - Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience. - Deeply understand the Reddit search product and drive the vision for the search relevance team. - Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. - Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges. - Mentor and guide senior and staff engineers in the team. - Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap Who You Are - 10+ years of industry experience with deep expertise in large-scale search and recommendation systems. - Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in search relevance. - Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow. - Experience working with LLM in production, including evaluation, tuning and deployment. &lt

👤 HumanFull-timeRemoteExpert / Staff+

By RedditJul 19, 2026

Support Delivery Lead

$234,000 – $260,000

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities: - Build and lead a team of the foremost technical and troubleshooting experts at OpenAI. You are the last line of defense before the core Engineering team. - Partner with engineering and customer teams to build out our systems to ensure that we resolve escalated issues. You will engage with senior leaders internally or with customers and coordinate resources across multiple teams as needed. - Take learnings from resolving customer issues and operationalize those solutions at scale, iterating on internal processes with Engineering/Go-To-Market/vendor partners, influencing product roadmaps, and improving overall customer experience with support. - Manage scaling and operations of the team in order to deliver 24x7 coverage globally, including holidays and weekends based on business needs. - Build strong relationships with our customers to ensure their application’s success. - Ensure the team is assisting broadly where needed beyond the ‘core remit’ of the team - Be a part of the broader leadership team in Support. You will have the opportunity to build not just within this team, but across the organization. Qualifications: - Have 10+ years of experience in technical support engineering or software engineering - Have 5+ years of experience leading technical support engineering or software engineering teams, ideally in high-scale or fast-paced environments - Have experience leading highly skilled engineering teams and are comfortable empowering senior ICs while setting a clear technical and operational direction. - Bring deep technical experience in application development or infrastructure, paired with a strong instinct for operational systems and customer reliability. - Are a strong cross-functional partner with a proven ability to influence engineering and product roadmaps through support-driven insights. - Take an automation-first approach and have a track record of implementing tooling or processes that scale support impact through AI and systems thinking. - Thrive in ambiguous environments and balance strategic leadership with a willingness to get into technical details when needed. - Are energized by customer impact and excel at building trust with strategic accounts during critical issues or periods of transformation. - Are mission-driven, collaborative, and operate with high integrity and humility. 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.

👤 HumanFull-timeMid

By OpenAIAug 27, 2026

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