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Member of Technical Staff (Software Engineer, Secu...
ABOUT THE ROLE Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure. RESPONSIBILITIES - Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling. - Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks. - Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking. - Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations. - Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features. - Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis. - Build automation to reduce manual work in incident response, containment, and remediation. - Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms. QUALIFICATIONS - 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. - Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools. - Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms. - Practical experience with threat modeling, secure design, or application security reviews for services or features. - Experience operating or contributing to bug bounty or vulnerability management programs is a plus. - Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments. - Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements. - Bonus: Experience designing or improving AI-powered agents or automation used for security operations.
Product Marketing - Observability
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a senior PMM to own go-to-market for two of our core products: LangSmith Observability and Evaluation. LangSmith Observability gives engineering teams full visibility into agent behavior (tracing, production monitoring, automated insights). LangSmith Evaluation gives them the confidence to ship (offline and online evals, human feedback, prompt optimization). You'll own messaging in a market that moves weekly, launch new capabilities for a technical audience, and build the enablement that helps our sales team win. WHAT YOU'LL DO: - Lead product launches. AI infrastructure moves fast, and we ship to match. You'll partner with product and GTM to launch new capabilities and products in ways that resonate with technical buyers and stand out in a noisy market. - Own positioning, messaging, and the agent narrative for LangSmith Observability and Evaluation. You'll shape how customers think about LangSmith products and how we show up in the market, from the homepage to sales decks. - Build sales enablement that helps close enterprise deals. Our buyers are senior engineering and AI/ML building agents in production. You'll create the talk tracks, battlecards, and objection handling the sales team needs. - Own competitive positioning across established and emerging AI-native observability tools. You'll stay close to the landscape and define differentiation that holds up to scrutiny. - Partner on pricing and packaging as products evolve, bringing market and customer observations into decisions. - Create content that helps buyers move forward. Customer stories, technical use cases, solution briefs: the materials that help technical champions make the case for LangSmith internally and help enterprise buyers understand our value. - Feed the product roadmap. You'll synthesize customer conversations, win/loss signals, and competitive trends into clear feedback that helps our product teams decide what to build. WHAT YOU’LL BRING: - You have 5-8+ years product marketing experience. - You've owned positioning and messaging for a technical product or platform end-to-end, not just contributed to it. You've been the person accountable for the narrative, and you can point to results. - You've marketed developer tools, AI/ML infrastructure, or observability/monitoring platforms. You know how technical buyers evaluate software, what moves them to adopt, and what drives expansion. - You're comfortable in a room with senior engineers and VP+ leaders. You can follow a technical conversation about tracing, evaluation workflows, or agent architectures, ask good questions, and turn what you learn into clear messaging. - You like to sh
Product Manager, Financial Engineering
About the Team Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio - Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers - Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes - Collaborate with other product teams to defining OpenAI’s evolving monetization strategies and the capabilities we need in our core billing infrastructure - Use data to better understand internal and external user needs and guide future product development - Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering. You might thrive in this role if you: - Have 6+ years of product management or related industry experience. - Obtained a bachelor's degree in Accounting, Finance, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. - Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones. - Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders - Showcase strong leadership, organizational, and execution skills, along with proven communication abilities. 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.
Safety Response Operations Lead
About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalation and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with policy while enabling timely, empathetic, and consistent user support. About the Role The Global Safety Response Operations Lead is a hands-on team lead who both manages a regional Safety Response team and personally handles high-risk safety cases. This role combines frontline safety work with people leadership, operational ownership, and cross-functional coordination. You will lead a team of Safety Response Analysts who handle OpenAI’s most sensitive and high-impact cases, while also personally contributing to casework for complex, high-risk, or high-visibility issues. You will own the execution of high severity escalations in your region and ensure proper execution and communication to cross functional stakeholders You will be accountable for ensuring your region consistently meets utilization, quality, and SLA targets while serving as the operational interface with Product, Policy, Legal, Investigations, and regional stakeholders. This is a 24/7 global operation that requires flexibility to support rotating shifts, including nights, weekends, and holidays, as part of a leadership on-call model. In This Role, You Will: - Lead and coach a regional team of Safety Response Analysts, ensuring high performance, engagement, and consistent decision quality. - Own regional operational outcomes, including utilization, SLA adherence, backlog health, and quality benchmarks. - Handle and oversee the most complex and high-risk cases, serving as the first line of escalation and incident lead for your region. - Contribute directly to frontline work (20–30%), including investigations, enforcement decisions, and regulatory or legal escalations. - Partner cross-functionally with Product, Policy, Legal, Investigations, and local market teams to execute safety outcomes and manage risk. - Drive operational excellence and continuous improvement, improving workflows, tools, automation, and escalation paths. - Identify emerging risks and trends, translating frontline insights into actionable recommendations for policy, product, or enforcement. You Might Thrive in This Role If You: - You have 5+ years in Trust & Safety, Risk Operations, Investigations, Fraud, Annotation, or platform integrity. - You have 4+ years of people leadership or senior-level operational ownership. - You are a strong decision-maker in ambiguous, high-risk environments, able to balance speed, accuracy, and defensibility when handling sensitive or high-impact cases. - You communicate complex safety and risk decisions clearly and credibly, whether writing escalation narratives, briefing Legal or Policy, or aligning Product and leadership during incidents. - You can translate between frontline operations and strategic stakeholders, turning messy real-world cases into structured insights and turning policy or product direction into clear, executable guidance for your team. - You are skilled at influencing without authority, building trust with Product, Policy, Legal, Investigations, and regional partners to drive alignment and resolve ambiguity. - You are deeply familiar with content moderation, user safety, fraud, or developer risk frameworks, including the legal, policy, and technical considerations that shape enforcement. - You use data, tooling, and automation to improve quality, efficiency, and scale to not just measure performance, but to make better decisions. - You are comfortable leading in a 24/7, high-pressure operational environment, providing calm, credible leadership during incidents, spikes, and regulatory or reputational events. 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.
Renewals Leader
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: We’re looking for a Renewals Leader to build and scale the function that protects and grows Anthropic’s recurring and committed revenue. This role owns renewals strategy, execution, and forecasting — ensuring we deliver exceptional customer outcomes while sustaining durable, predictable revenue as our enterprise base scales. Anthropic operates on a consumption-based model, which makes this fundamentally different from a traditional renewals role. Your team won’t simply be renewing contracts on a fixed cycle — they’ll be managing customer commitments in step with real usage, catching consumption risk early, and converting healthy adoption into expanded commitments. You’ll build the playbooks, the forecasting rigor, and the early-warning systems that make retention a strength rather than a scramble. You’ll lead and develop a team of Renewals Managers, partner closely with Sales, Deal Desk, Finance, and Customer Success, and serve as a trusted commercial voice in front of strategic customers. This is a builder’s role: you’ll be one of the first dedicated leaders for this function, so the processes, culture, and standards you set become the template. What you'll do: - Build and lead the renewals team. Hire, develop, and retain a team of Renewals Managers. Define how the function covers the customer base, set the performance bar, and create a culture of accountability and customer-centricity. - Own the renewal number. Own renewal bookings, gross and net retention, on-time renewal metrics, forecast accuracy, and renewal pipeline health. Identify risk early and implement mitigation strategies to reduce churn and contraction. - Define the operating model. Establish scalable renewal playbooks, stage definitions, qualification criteria, and operational rigor — adapted for the realities of consumption-based revenue rather than fixed contract cycles. - Forecast with rigor. Drive accurate weekly and monthly renewal forecasting and reporting that leadership can plan against, grounded in usage data and customer health signals. - Drive expansion at renewal. Partner with Sales and Customer Success to convert adoption depth into expanded commitments, and lead executive-level renewal conversations for strategic accounts where required. - Collaborate across the GTM organization. Work with Sales on territory and account strategy, with Deal Desk and Finance on pricing, terms, and approvals, and with Strategy & Operations on forecasting and field alignment. - Lead with an AI-first mindset. Use data, automation, and tooling — including Claude — to optimize renewal processes, monitor KPIs, and continuously raise the bar on performance. You may be a good fit if you have: - 8–12+ years of experience in SaaS, PaaS, or
Senior Strategic Projects Lead, Robotics
Scale’s Robotics business unit is experiencing historic, unprecedented growth. As a Senior Strategic Project Lead (SPL) for Egocentric Data Collection , you will architect and execute the critical operational roadmaps that drive $XXM+ in net-new revenue. This is a high-leverage, executive-facing role. You will wear many hats across operations, engineering strategy, and product, driving the physical data engine that powers the world’s most advanced Embodied AI systems. The ideal SPL possesses a rare blend of rigorous project management methodology, an entrepreneurial mindset, and a deep comfort with the beautiful chaos of physical-world operations. If you are excited by high-stakes ownership, complex hardware-software paradigms, and accelerated career progression, this role is built for you. You will: - Own the Mission: Serve as the end-to-end program business owner for our most visible, high-impact egocentric data collection initiatives, directly steering data quality, operational efficiency, P&L margins, and revenue delivery. - Bridge the Physical & Digital Worlds: Translate complex customer machine learning requirements into highly structured, scalable physical data collection specifications that directly improve VLM/VLA model performance. - Establish PMO Rigor: Build, optimize, and scale project timelines, milestone tracking, and critical-path infrastructure. Implement risk-mitigation frameworks to anticipate and bypass real-world operational bottlenecks. - Lead Cross-Functional Governance: Partner seamlessly with executive stakeholders across Engineering, Product, Finance, and Go-to-Market to align operational execution with the cutting-edge requirements of the world's largest Robotics models. - Command Global Operations: Functionally lead, mentor, and scale a high-performing matrixed team of Operations Program Managers and Associates, defining task architecture and establishing operational KPIs. - Deploy Smart Infrastructure: Train and manage dynamic, global teams of collectors, implementing hardware/software troubleshooting protocols for egocentric collection devices (e.g., smart glasses, sensors, rig setups). - Drive Data-Centric Decisions: Build advanced analytics, tracking dashboards, and reporting mechanisms to inject continuous feedback loops into the operational lifecycle. - Executive Presence: Deliver high-signal, strategic progress updates and risk assessments directly to Scale’s executive leadership team. Ideally, you’d have: - Technical & Strategic Hybrid: A bachelor’s degree in Engineering, Computer Science, or a related technical field, combined with a proven track record of driving massive commercial/business outcomes. - 5+ Years of Elite Project/Program Management: Experience leading complex, multi-faceted project lifecycles, establishing PMO frameworks, and managing cross-functional technical teams (PMP, Agile/Scrum, or equivalent operational experience is a strong plus). - Physical AI & Robotics Exposure: Prior experience or deep familiarity working alongside robotics systems, autonomous vehicles, computer vision pipelines, or hardware-in-the-loop environments. You understand the unique challenges of capturing data from the physical world. - First-Princi
Operations Sourcing Manager, Data Center
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 run the broad sourcing operations that keep Anthropic’s global data center footprint moving, working across the full range of categories that make up our infrastructure: compute, networking, racks, mechanical, cabling, and the supplier ecosystem that delivers them. You’ll be the operations owner who makes sure the right hardware lands at the right site at the right time, on terms that hold up across programs. You’ll work day-to-day with Anthropic engineering, our data center operator partners, OEMs, ODMs, integrators, and service providers. You’ll be the connective tissue across categories, negotiating commercial terms, managing supplier performance, and optimizing for lead time, cost, and on-time delivery against an aggressive deployment roadmap. In any given week you might be supporting NPI BOM’s, expediting constrained components, chasing down a lead-time slip across suppliers, running a competitive process for a new platform, developing supplier scorecards, negotiating supply agreements, or partnering with engineering to keep an in-flight program on track. You’ll partner closely with Claude throughout, including supplier benchmarking, contract analysis, scenario modeling, and drafting clean negotiation records. Responsibilities - Run end-to-end sourcing operations across data center hardware categories (compute, networking, racks, mechanical, cabling), from supplier engagement and competitive process through contracts and ongoing supplier performance management. - Own the operational rhythm with suppliers: supplier scorecards, capturing capacity and quarterly business reviews. - Negotiate commercial terms across categories and keep them aligned with our deployment plans, with a bias toward execution and on-time delivery. - Triage supplier issues across programs, drive trade-off decisions with engineering, finance, and deploy operations, and keep stakeholders aligned through ambiguity. - Build Claude-powered workflows that the sourcing team and partners adopt for benchmarking, request for quotes, contract analysis, and reporting. - Produce the deal memos, supplier business reviews, and operational readouts that engineering and ops leadership rely on to keep programs on track. You may be a good fit if you: - Have 7+ years of experience in sourcing, procurement, or supply chain operations, with a track record across multiple hardware categories rather than depth in just one. - Are operationally rigorous: comfortable owning supplier performance, lead-time discipline, and fulfillment escalations as a regular part of the job. - Can move from a compute supply negotiation to a networking RFx to a mechanical components contract without losing rigor. - Operate effectively under ambiguity and bring structure to undefined problems. - Influence cross-functional partners and align them around shared standards, even without direct authority. - Communicate clearly in writing and produce artifacts senior stakeholders can act on without follow-up. - Have a bachelor’s degree in a relevant field or equivalent p
Staff Machine Learning Engineer, Notifications Rel...
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 Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer. Reddit is home to some of the most valuable and engaging conversations on the internet. As a Staff Machine Learning Engineer on Notifications Relevance , you'll serve as a technical leader for one of Reddit's highest-leverage ML systems, helping millions of users discover relevant content, communities, and conversations every day. You'll drive the strategy, architecture, and execution of large-scale recommendation systems spanning targeting, budget optimization, retrieval, ranking, measurement, and emerging LLM-powered experiences. This role offers the opportunity to shape the future of engagement and retention at Reddit while pushing the boundaries of personalization and machine learning at massive scale. What You’ll Do - Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. - Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. - Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. - Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. - Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges Who You Are - 8+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. - Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance. - Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.</l
Partner Alliance Lead - Federal
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners. You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs. WHAT YOU'LL DO - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits. - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach. - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery. - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue. - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role. - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal i
Head of GTM, AI Inference
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - New York, US - San Francisco, US About the Role Cloudflare is building one of the most differentiated AI inference platforms in the market. We aren’t building another commoditized GPU-by-the-hour provider, but a globally distributed, serverless inference platform integrated into the world's largest developer ecosystem. We need someone to own the go-to-market strategy for this business. As Head of GTM, AI Inference, you will be the connective tissue between our cutting-edge AI infrastructure, our product teams, and the global market. You'll work directly with Workers AI prospects evaluating Cloudflare as a source of GPU capacity, partner with product leadership to shape how we position and package our inference capabilities, and build the analytical frameworks that help us pursue the right customers and partners -- not just the most obvious ones. This is not a role where you execute a playbook someone else wrote. You'll write the playbook, pressure-test it against real market signals, and rewrite it as the landscape shifts. You'll need to be as comfortable building a financial model for inference unit economics as you are running a strategic sales conversation with an AI-native startup's CTO. Responsibilities Market Strategy & Positioning - Own Cloudflare's GTM strategy for AI inference, defining how we compete beyond the commoditized GPU/hour model that dominates the market - Develop and continuously refine our positioning around Cloudflare's structural advantages: serverless GPU pricing, edge-distributed infrastructure, and integration with the broader developer platform (Workers, R2, D1, Agents SDK) - Identify and size the customer and partner segments where Cloudflare's inference model creates disproportionate value -- and have the discipline to deprioritize segments where it doesn't - Own and drive promotional strategies with key model partners to accelerate the adoption of new models and inference capacity. Strategic Sales & Reve
Executive Director, Corporate Strategy & Intellige...
Your work will change lives. Including your own. The Impact You’ll Make Recursion is at a strategic inflection point. With a growing clinical pipeline, expanding global partnerships, and one of the most powerful AI-native end-to-end drug discovery platforms, we are seeking a strategist who can translate intelligence into decisive action. At Recursion, our mission is to industrialize and transform the development of medicines by integrating data-driven insights and advanced analytics throughout the entire development lifecycle. As an Executive Director in Corporate Strategy & Intelligence, you will play a pivotal role in defining Recursion’s competitive and commercial position and turn that understanding into a strategy that shapes pipeline prioritization, partnership decisions, and long-range growth. You will leverage competitive & commercial insights to be a principal architect of Recursion’s strategic choices, sharpening our BD focus and maximizing the potential for both scientific and commercial impact. Ideal candidates are equally comfortable building rigorous commercial models as they are presenting bold strategic recommendations to leadership, all with the goal of driving enterprise decision-making as we advance transformative medicines for patients. In this role, you will: - Lead commercial assessment, strategic fit analyses, and the design of competitive moats for pipeline assets from early validation through late-stage development. Integrate epidemiology, patient segmentation, competitive positioning, pricing & market access dynamics, and revenue forecasts to inform go/no-go, prioritization, and partnering decisions. - Own the end-to-end competitive intelligence function for specific Recursion initiatives and BD opportunities: leverage agentic approaches, as well as advanced analytics & modeling to define the strategic framework, build the intelligence infrastructure, and deliver timely, decision-grade insights on competitors, therapeutic area dynamics, evolving platform technologies, and the broader drug discovery ecosystem. - Grow and refine a real-time intelligence system that synthesizes complex signals from clinical data, regulatory filings, investor disclosures, scientific publications, partner pipelines, and industry events into a coherent, real-time-updated strategic picture. Strive to preempt market disruptions and identify white space opportunities. - Collaborate with functional line leaders and the C-suite to inform corporate strategy development and long-range planning, translating competitive and commercial intelligence into actionable strategic choices and high impact narratives on portfolio prioritization, platform positioning, partnership strategy, and growth vectors. - Propagate the Recursion mindset of radically changing lives by constantly seeking transformative improvements in how we advance innovative concepts for clinical benefit, all while ensuring Recursion’s strategy is grounded in competitive reality and built to move with urgency. The Team You’ll Join As Executive Director, Corporate Strategy & Intelligence, you will work across the Recursion Portfolio, partnering with colleagues in Discovery, Platform, External Partnerships, ClinTech and Clinica
Forward Deployed Engineer - Seoul
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. 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.
SWE Fellow - Human Frontier Collective (US)
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 the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. - 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 - Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). - Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. - 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 academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and ar
Account Manager - ANZ
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 a self-starter, highly energetic Account Manager, who is passionate about voice technology. We don't just sell a product, we're building a community of highly engaged people that want to partner with us for the long term. We love working with our customers to support and guide them through their voice AI journey with a focus on ultimately driving long term value for them. Our Account Management team is at the forefront of this. In this role you will: - Be part of an early Account Management team with endless opportunities for impact. You'll partner with the team to help develop a scalable account management playbook and framework that supports our customers in the ANZ region. - Build and maintain strong relationships with a book of commercial and enterprise clients in the ANZ region. - Play a key role in driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business. - Measure and improve customer satisfaction & experience. - Own your account management KPIs (NRR/GRR) and track against the company goals. Requirements - 3-7 years of previous experience in Account Management or Customer Success in a fast paced, SaaS organization. - A strong builder and customer excelle
Finance Systems & Automations Manager
Overview Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting. In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams. You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency. We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end. What You’ll Do - Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting - Identify opportunities to replace manual or rules-based processes with agentic workflows - Partner with stakeholders to translate business processes into scalable, automated solutions - Lead the implementation of end-to-end workflows, from requirements through deployment and validation - Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems) - Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding - Automate approval flows and data synchronization across People, Finance, and Recruiting systems - Support accounting and finance workflows through scalable integrations and automation - Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior - Establish and apply best practices for workflow design, monitoring, error handling, and maintainability - Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations - Maintain clear documentation of integrations, automations, and agent behavior - Support adoption of automation and AI-enabled workflows by working closely with People Ops, Recruiting, and Finance stakeholders What We’re Looking For - 5+ years of experience building integrations and automation workflows across business systems - Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus - Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems - Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard) - Experience integrating Finance systems such as NetSuite, Coupa, or similar - Experience working with PayRoll systems such as ADP, Deel, Workday is a plus - Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus - Strong problem-solving skills and ability to operate independently in a fast-paced environment - Excellent communication skills and experience
IT Systems Engineer, Client Platform Engineer
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 Endpoint team (Client Platform Engineering) treats Anthropic’s device fleet as a distributed platform, not a collection of laptops. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet spans macOS, Windows, and a growing mobile footprint. You’ll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You’ll build zero touch provisioning that turns a sealed box into a productive machine on day one, manage rapid patching enforcement schedules while maintaining a good user experience, and build automation and Claude-driven workflows to eliminate operational toil. The role sits at the intersection of security and developer experience: working with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure controls don't get in the way of getting work done. It also lays the groundwork for access decisions based on device trust. If you think of “100% compliant” as a claim to audit rather than a fact to report, you’ll fit right in. The team is deliberately lean and runs with high autonomy. You’ll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee’s work runs on. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities - Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS, Windows, and mobile, with canary stages and rollback built in - Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response - Build patch management automation with rapid enforcement timelines while maintaining good user experience - Design zero touch provisioning that turns a sealed box into a productive machine on day one - Run software distribution for the fleet, including managed app distribution for mobile devices - Turn fleet telemetry into policy, dashboards, and early drift warnings, and build automation with Claude that removes operational toil - Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls - Serve as the deep escalation tier for endpoint issues IT Operations can’t resolve You may be a good fit if you - Have 8+ years building secure IT systems in complex environments, or for Staff level, have led projects spanning multiple teams that changed how an organization operates - Have managed endpoint fleets of thousands of macOS and Windows devices through a modern MDM - Treat endpoint configuration as code and have moved past clicking in consoles, whether through scripted
IT Engineering Lead
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 This is a hands-on technical role with lead responsibilities. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices. You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have. You will lead the IT Engineering team, balancing hands-on technical work with mentoring, project planning, and hiring. REQUIREMENTS - Experience leading or mentoring an IT Engineering or Technical Operations team, including project planning and hiring. - Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems - Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace - Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet. - Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks. - Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts. - Proven ability to maintain comp
Deployment Strategist Lead - Mexico
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 As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximiz
Supply Chain Program Manager (SCPM) - AI Infrastru...
About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization is responsible for enabling scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. The Supply Chain Program Manager (SCPM) drives end-to-end material readiness and supply chain execution across the hardware lifecycle, from early architecture and sourcing strategy through production ramp and sustaining operations. We are looking for experienced supply chain leaders who can operate across technical, commercial, and operational domains to ensure material readiness, supply continuity, and execution excellence for complex AI hardware programs. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. Responsibilities - Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. - Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. - Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. - Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints. - Drive shortage management, allocation mitigation, and recovery planning. - Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners. - Cross-Functional Program Management - Partner with Engineering to translate product requirements into executable supply chain strategies. - Drive alignment across Strategic Sourcing, Commodity Management, Manufacturing Operations, Finance, Quality, and Planning teams. - Coordinate with ODMs, CMs, and suppliers on material schedules, build readiness, and operational execution. - Lead material reviews, supply risk assessments, and executive-level program updates. - Establish governance models and operating cadences across internal and external stakeholders. - Supplier & Manufacturing Partner Management - Work closely with suppliers and manufacturing partners to manage supply continuity and operational readiness. - Drive supplier accountability around lead times, commits, recovery plans, and escalation management. - Support commercial negotiations through operational and supply chain insights. - Coordinate material flow strategies across suppliers, hubs, manufacturing sites, and deployment locations. - Evaluate second-source and supply resiliency strategies. - Process & Operational Scaling - Develop scalable material planning and execution mechanisms. - Improve forecast management, supply visibility, exception handling, and inventory planning processes. - Build dashboards and KPI frameworks for supply readiness, shortages, inventory exposure, and operational health. - Drive continuous improvement initiatives across supply chain execution and operational processes. Qualifications Minimum Qualifications - Bachelor’s degree in Supply Chain, Engineering, Operations, Business, or related field. - 8+ years of experience in Supply Chain Program Management, Material Program Management, Commodity Management, Strategic Sourcing, or related hardware supply chain roles. - Experience supporting complex hardware products through NPI and production ramps. - Strong understanding of hardware supply chains, material planning, and supplier operations. - Experience managing constrained supply environments and long lead-time commodities. - Experience working with ODMs, CMs, and global supplier ecosystems. - Strong analytical, program management, and executive communication skills. - Ability to drive cross-functional alignment in ambiguous and fast-moving environments. Preferred Qualifications - Experience supporting AI/ML infrastructure, servers, networking, storage, or custom silicon programs. - Experience with ASIC supply chains, advanced packaging, HBM/DDR memory ecosystems, or hyperscale infrastructure deployments. - Familiarity with ERP/MRP/PLM systems, BOM structuring, and supply planning tools. - Experience building supply resiliency and second-source strategies. - Experience operating in highly constrained and rapidly scaling environments. What Success Looks Like - Critical materials are available to support development and production ramps. - Supply risks are proactively identified and mitigated before impacting the schedule. - Suppliers and manufacturing partners operate with strong accountability and execution discipline. - Cross-functional teams have clear visibility into supply readiness and operational risks. - Supply chain operations scale effectively alongside growing infrastructure demand. 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.
Art Director, Claude
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 We're looking for an Art Director to help shape how Claude shows up in brand campaigns. You'll be a hands-on creative partner working closely with our brand and marketing teams, concepting and driving campaigns. We need someone who's built ideas from a brief, sold them in a room, and seen them through to production. You should be as comfortable sketching a concept on a whiteboard as you are directing a photographer on set or briefing an agency partner. Some campaigns you'll build and ship entirely in-house; others you'll run through external agencies, acting as the creative through-line between our team and theirs. Either way, you're hands-on and you own the outcome. This role is deep in campaign craft, but broad beyond it. Within a campaign, you hold the bar for the work, down to the last detail. Beyond it, you think strategically about how the work radiates outward, builds the Claude brand as a whole, and connects across the business. Responsibilities - Concept and art direct integrated campaigns for Claude from initial brief through final production across digital, video, and print. - Direct photo and video shoots, working with directors, photographers, illustrators, animators, and production partners to bring campaigns to life. - Flex between executing work in-house and directing it through agency partners. When we go external, you're the creative lead in the room, translating brand context, giving clear feedback, and keeping the work ours. - Develop campaign visual systems with repeatable creative frameworks that give a campaign range while keeping it recognizably ours. - Shape Claude’s brand storytelling, finding compelling ways to turn product capabilities and user experiences into narratives people actually want to engage with. - Serve as a creative partner to the brand and product marketing teams, bringing audience insight and brand strategy to life through bold creative concepts and sharp visual direction. - Ensure brand consistency and raise the bar for quality across all Claude touchpoints. You may be a good fit if you - 12+ years of experience with a portfolio rooted in campaign work, showing concept development, art direction, and execution across multiple channels and formats. - Have worked both sides of the agency relationship. You can build a campaign with your own hands, and you can steer an external team without losing the thread. - Have directed shoots and worked closely with photographers, illustrators, or production teams. You know how to get the best work out of collaborators. - Can move between strategic thinking and hands-on execution without losing momentum. You’re comfortable doing the work, not just directing it. - Have experience building consumer-facing or product brand campaigns and understand how to make that work feel distinctive and human. - Are drawn to brand-building work—shaping perception, building affinity, and raising the bar for how a company shows up in the market. - Thrive in a fast-paced, collaborative environment and can manage multiple campaigns and workstr
Support Delivery Lead, Ads
About the Team The Ads Support Delivery team is responsible for helping successfully operate and grow on our Ads product. This includes technical guidance, troubleshooting complex delivery and monetization issues, and partnering closely with Product, Engineering, Trust & Safety and Go-To-Market teams to resolve customer-impacting problems and improve the platform over time. The team’s mission is to deliver a high-quality customer experience at scale by combining strong human support with automation, self-service, and AI-enabled workflows, while maintaining high operational rigor. About the Role: As a Support Delivery Lead for Ads, you will lead a team responsible for end-to-end support delivery across the ads ecosystem, including campaign setup, delivery, billing, measurement, and policy navigation. You will set the operational bar for quality, responsiveness, and consistency; coach and grow the team; and translate support signals into actionable improvements with Engineering, Product, and Go-To-Market partners. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead and support a team of Ads support engineers, ensuring they have the tools, clarity, and coaching needed to operate at a high bar in a technically complex domain. - Set clear expectations and operating standards, run recurring performance reviews, and build development plans that grow both technical depth (ad tech fluency) and customer-facing excellence. - Design and continuously improve support coverage for ad buyers, ensuring the team can diagnose delivery issues and monetization and integration issues with equal rigor. - Act as the bridge between Support Delivery, Engineering, Product, and Go-To-Market teams. Drive alignment on priorities, escalation paths, launch readiness, tooling improvements and mechanisms to reduce repeated customer pain points. - Partner with engineering teams to resolve complex customer issues, while generating valuable insights to inform product development and GTM strategies. - Handle escalated customer or partner engagements with professionalism, ensuring OpenAI is well-represented in challenging situations and complex builds. - Contribute to the development of innovative strategies that drive the efficiency, scalability, and growth of the user operations team, aligning with organizational goals. - Partner with Product and Engineering on Ads launches and changes to ensure support readiness (playbooks, known issues, tooling, training). Proactively identify rollout risks and ensure support feedback loops influence product decisions. You might thrive in this role if you: - Have 12+ years of experience in Support Delivery, Customer Operations, Ads Operations, or similar environments, including 6+ years of direct people management. - Have experience supporting advertising products and workflows, with demonstrated understanding of advertiser needs. - Have strong cross-functional leadership skills, with a track record of influencing Product and Engineering roadmaps using customer impact, operational data, and clear prioritization. - Have demonstrated ability to define, implement, and manage operational and business KPIs; comfort building reporting mechanisms and running metrics-driven operating cadences. - Have strong project/program management skills, with the ability to drive complex initiatives across time zones and stakeholder groups. - Have demonstrated ability to take an automation-first approach, with a track record of applying AI, tooling, and systems thinking to design and implement processes that scale support impact. 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.
Enterprise Account Executive, Manufacturing
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to manufacturing organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturing brands. You'll leverage your consultative sales expertise in the manufacturing sector to propel revenue growth while becoming a trusted partner to manufacturing stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in production, supply chain, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with manufacturing decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the manufacturing sector. Navigate complex manufacturing organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to manufacturing procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze manufacturing market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within production teams, engineering departments, and operations centres. Collaborate cross-functionally to differentiate our offerings for manufacturing applications - Navigate complex manufacturing stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying manufacturing market needs. Provide insights that strengthen our value proposition for manufacturing - Continuously refine the manufacturing sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies. - A track record of managing complex sales cycles within manufacturing organisations and securing strategic deals by understanding both technical requirements and manufacturing use cases - Demonstrated ability to navigate manufacturing organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within manufacturing procurement frameworks and polici
Data Center Design Execution Lead
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 Team Anthropic’s Infrastructure team is responsible for designing, delivering, and scaling the physical compute environments that power our AI research and products. The team sits at the intersection of internal customers and an ecosystem of external engineering, construction, and development partners. From site selection through design, construction, commissioning, and ongoing operations, Infrastructure ensures that Anthropic’s datacenter footprint keeps pace with our research ambitions. About the Role We are looking for a Design Execution Manager to own the bridge between Anthropic’s technical requirements and the third-party partners who bring our datacenters to life. This is not a pure design role or a pure project management role—it lives in the critical space between the two, ensuring that design follows the requirements, and that technical intent survives every handoff from concept through turnover. Scope spans the full design lifecycle: concept, schematic, permitting, development, construction administration, commissioning, and operations. The right candidate thrives in environments where nimble but structured processes need to be built, not just followed, and is energized by the challenge of standing up execution frameworks across a rapidly growing portfolio of mission-critical facilities. Responsibilities Design Execution & Partner Oversight - Drive execution of Anthropic’s technical requirements for third-party datacenter delivery partners, ensuring design intent is consistently translated from BOD through construction documents. - Define the design execution framework—deliverable requirements, review gates, and quality standards—for each partner engagement. - Drive accountability for partner deliverable quality across milestones, evaluating deliverables for cross-discipline consistency and alignment to Anthropic’s requirements. - Partner with external design teams and stakeholders to execute design document development and issuance across all project phases. Change Management & Technical Continuity - Own the design change management process across projects, ensuring technical decisions are documented, resolved, and implemented through construction. - Review and develop responses to contractor RFIs, maintaining design intent while accommodating field conditions. - Own technical continuity across design, construction, commissioning, and turnover, driving alignment between internal leads on phase transition standards and acceptance criteria. - Support project closeout and as-built documentation processes. Constructability & Risk Management - Facilitate constructability review processes between design and construction teams, surfacing integration risks raised by discipline leads for resolution, maintaining alignment between design intent and field execution as conditions evolve. - Drive risk identification and mitigation through partner QA/QC processes, across the design and construction lifecycle. - Direct and supervise external partners and owners re
Product Strategy and Corporate Development Lead, A...
Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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: - Support Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. - Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. - Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. - Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. - Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. - Help attract early-stage AI companies into Datadog's startup program. Who You Are: - Demonstrated technical knowledge through past experience (software engineering, product management, VC, etc.) or a degree in Computer Science (or equivalent). - Some experience with financial modeling, forecasting, or analysis (willingness to learn; we can teach you). - Excited about building and maintaining a strong network across founders, VCs, and the broader AI ecosystem. - Self-starter who thrives in fast-paced, ambiguous, and technically challenging environments. - Excellent prioritization and ability to operate across multiple complex stakeholders and projects. - Strong communication skills and enthusiasm for developing negotiation capabilities. Datadog values diverse experiences. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We strongly encourage candidates from underrepresented groups to apply. Benefits and Growth: - Best-in-breed onboarding - Generous global benefits - Intra-departmental mentor and buddy program for in-house networking - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development,
Staff GenAI Engineer - Application Performance Mon...
We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: - Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. - Build and benchmark GenAI/ML models using state-of-the-art techniques. - Collaborate with cross-functional teams to build automated investigation and triaging tools. - Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. - Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. - Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: <li data-prosemirro
Growth Strategy & Operations Lead
Growth Strategy & Operations Lead, Generative AI As Scale AI continues its historic growth trajectory in Generative AI, we are seeking a Growth Strategy & Operations Lead to help ensure our customer projects have the expert capacity they need to deliver on time. Growth at Scale is not traditional user acquisition: our team manages the supply side of Outlier, Scale’s expert contributor marketplace, sourcing, onboarding, activating, retaining, and routing highly skilled contributors such as PhDs, coders, and domain experts to the AI projects that need them most. This demanding and multi-faceted role requires a unique blend of strategy, operations, and analytics. You will work across acquisition channels, onboarding and screening funnels, contributor training, retention programs, and project ramp planning to build the expert supply engine behind Scale’s most strategic Generative AI work. You will: - Drive critical growth projects that expand and improve the expert supply available for Scale’s highest-priority AI projects, collaborating closely with Engineering, Operations, Go-to-Market, and project delivery teams. - Develop and enhance growth strategies, funnels, and pipelines for acquiring expert contributors through channels such as outbound, referrals, hackathons, partnerships, paid acquisition, and professional communities. - Improve onboarding, screening, verification, and training systems so that experts can be evaluated, activated, and ramped onto customer projects quickly and reliably. - Manage supply-side operations across the contributor lifecycle, including activation, retention, churn mitigation, skill/profile validation, and routing contributors to the most relevant projects. - Build analytical systems and operating rhythms to forecast capacity needs, diagnose funnel bottlenecks, and ensure projects ramp enough qualified experts to meet delivery timelines. - Present regular progress updates to Scale’s executive team, translating supply health, ramp progress, and growth initiatives into clear recommendations and decisions. - Tackle some of the most pressing growth challenges in AI expert marketplaces, setting new standards for how Scale sources and manages the talent required to train frontier AI models. Ideally, you’d have: - 5+ years of experience on growth, product, or operations, or as a SWE. - Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain) - Strong technical background (a degree in STEM is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). - Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). - An entrepreneurial spirit, comfortable with navigating ambiguity and scaling new products or services from the ground up. - Prior experience building with AI tools and workflows - you've tinkered, shipped something, and can quickly pick up new AI tooling as the landscape evolves This role is critical to ensuring that Scale AI can meet rapidly growing customer demand by building, managing, and scaling the expert supply needed for Generative AI projects. The ideal candidate will combine marketplace growth instincts, operational rigor, technical fluency, and a bias toward execution in high-stakes, fast-moving environments. <div class="descript
Staff AI Engineer - Grafana AI/ML | USA | Remote
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 would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: - Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. - Rapid experimentation and iteration: Implement a hig
Staff+ Software Engineer, Data Infrastructure
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 Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: - Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. - Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. - Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. - Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: - Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Can set technical direction for a team, not just execute within it - Have deep experience with at least one of: - Strong proficiency in programming languages like Python, Go, Java, or similar - Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) - Can navigate complex technical tradeoffs between performance, cost, security, and maintainability - Have excellent collaborati
Staff Machine Learning Engineer, Consumer
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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: - Relevance & recommendation systems (content, search, notifications) - AI-powered discovery & LLM-driven experiences - Content and user understanding & large-scale representation learning - Large-scale ML infrastructure and pipelines What You’ll Do - Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions - Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities - Drive measurable impact on user engagement, discovery, and long-term value - Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities - Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at
Staff Full-Stack Software Engineer, (Forward Deplo...
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation - Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. - Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. - Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. - Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. - Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: - Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. - 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). - Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. - Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. - A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. - A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. - Proficient in Arabic Nice to haves: - Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations - Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. PLEASE NOTE: Our policy requires a 90-day waiting period be
Senior Staff Machine Learning Engineer, Notificati...
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 Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer. Redditors produce the most amazing content about every niche topic in the world. Leveraging machine learning and large-scale system development, we process hundreds of millions of posts and user activities to provide personalized recommendations for tens of millions of users. As a Senior Staff, you will design and build a large-scale system that powers end-to-end recommendation systems at scale. You’ll work across multiple areas of the stack, including budget optimization, retrieval, ranking, features, measurement, LLM-based answers, etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Notifications push the boundary on state of the art. What You’ll Do - Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience. - Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team. - Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. - Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization. - 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. - Partner closely with senior leadership and cross-functional org leads to shape long-term roadmaps, balancing immediate operational wins with strategic technical objectives. Who You Are - 10+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred. - Proven
Senior Machine Learning Engineer
Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you. We expect you to: - Have deep passion for video games and think on behalf of our players - Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you - Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space - Be responsible for your domain of expertise on projects from inception to delivery and beyond Required Skills - 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products - Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task - Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance - Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP - Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction - Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet) - Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders Preferred Experience Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute: • Experience with graph databases, collaborative filtering, or user vectorization • Experience with large-scale sentiment analysis • Experience with Typescript or Golang • Experience with source control, CICD, Protobuf, or infrastructure as code • Experience in the video game industry • Experience in a small company with a startup feel • Interest in technical writing and sharing your work Perks: • Paid Time Off, Holidays and Two Weeks Winter Break • Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in. • Pet Insurance for those who need it too. • Compassionate leave for employees who needs to take care of their family members • Pre-tax wellness stipend • Pre-tax work from home stipend • Access our savings plan (401K program) with company match • Mental health resources including Headspace membership and Employee Assistance Program (EAP) • Discount portal for everyday goods and services • Employee inclusive and diversity initiatives such as Grow Together • Support for personal professional development We look forward to meeting you! Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the
Member of Technical Staff (Golang Engineer, Search...
Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency. Responsibilities: - Build highly scalable, distributed backend services using Golang - Design, develop, and maintain search infrastructure that supports exponential traffic growth - Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover - Implement robust monitoring, autoscaling, and incident recovery strategies - Collaborate with product, infra, and devops teams to maximize throughput and resilience - Drive improvements in CI/CD, automation, and operational excellence for backend systems - Mentor peers and champion scalable design principles across the organization Requirements - Significant experience developing scalable Golang services for production environments - Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred) - Proven track record implementing systems that scale to millions of users - Strong background in Linux performance tuning, monitoring, and debugging - Experience with CI/CD pipelines, containerization, and automation - Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise - Passion for building backend solutions that power real-time, reliable search
Communications Lead, Infrastructure and Engineerin...
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 We're seeking a strategic communications professional to join our team and drive external storytelling for the engineering and infrastructure work behind serving Claude. This role will be the primary external comms partner to the teams responsible for how Claude performs in production, including capacity, reliability, and engineering. In this role, you'll craft compelling narratives that make Claude's inference and reliability work accessible and credible to developers, customers, and the press — across launches, milestones, and the steady drumbeat of updates in between. You'll build messaging frameworks for technical topics without losing the substance, and lead the communications response when an engineering issue needs a coordinated, cross-functional response. You'll also coach engineering and product leaders to be effective spokespeople. The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about how systems perform and the judgment to navigate nuanced, technical topics. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams. You'll sit on the Product Communications team, working day to day with engineering and product leaders. Responsibilities: - Own external comms for Claude's inference and reliability story across launches, milestones, and the steady drumbeat of updates - Carry both the high-altitude narrative for Claude's engineering work and the technical translation that makes it credible - Develop messaging frameworks for technical topics that need to land with developers, customers, and press without losing the substance - Lead comms when a technical or engineering issue needs a coordinated cross-functional response - Partner closely with the product organization on decisions that impact users and our brand, bringing those considerations into the room early and often - Coach engineering and product leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between - Have strong instincts for how messaging will land across audiences and channels and the judgment to adjust strategy accordingly You may be a good fit if you: - Have 8–12 years of experience in communications focused on infrastructure, engineering, or technical products - Are highly online and fluent in where technical conversations happen, from developer forums to X to Hacker News - Are genuinely curious about how customers actually experience performance, capacity, and reliability - Have experience in communications focused on infrastructure, engineering, or technical products - Write with discipline and accuracy around complex technical concepts and sensitive topics Strong candidates may also: - Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage - Be high-agency and low-ego, with a bias to
Manager, Account Executives, Startups
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 Manager on the Startups team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing startup customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 <span class="di
Senior Software Engineer, Identity
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. - Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). - Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC). - Build software-defined identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards. - Present technical information to teams and stakeholders, providing guidance and insight on identity management and best practices. Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems. - Infrastructure expertise – IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices. - Hands-on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale. - Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access control evaluation. - Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT, as well as industry standard IdP solutions like EntraID, Okta, etc. - Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). - Show a track record of independent ownership of successful engineering projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Nice to haves: - Experience securing API access and implementing access control mechanisms at the application level. - Multi-cloud infrastructure experience – AWS, Azure, GCP, and more. <
Applied AI Architect, Applied AI (Digital Natives...
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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Native German speaker with fluent English proficiency - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills wi
Forward Deployed Engineer, GenAI
About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: - Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. - Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. - End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. - Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. - Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. - Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. - Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: - At least 2 years of relevant experience is preferred - Proven track record of shipping high-quality products and features at scale. - Strong problem-solving skills and the ability to work independently or as part of a collabo
Senior Machine Learning Engineering Manager, Safet...
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 AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will - Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale. - Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent. - Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step. - Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready. - Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders. - Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives. - Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. <strong
Manager, Applied AI Engineering (Digital Natives)
About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. This role is open in our San Francisco 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 - Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers. - Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes. - Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production. - Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth. - Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders. - Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research. - Translate recurring customer needs and successful implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices that allow the team to scale its impact. - Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. - Help customers understand and apply OpenAI’s newest capabilities, identifying opportunities to build differentiated products and experiences with frontier models. - Champion the safe, reliable, and effective application of OpenAI’s technology across the Digital Natives ecosystem. You’ll Thrive in This Role If You - Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles. - Have 2+ years of experience leading technical teams, with a demonstrated ability to hire, develop, mentor, and manage high-performing engineers. - Have experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production environments. - Bring strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows. - Have hands-on software engineering experience and fluency with programming languages such as Python or JavaScript. - Are comfortable working directly with highly technical engineering and product teams as well as CTOs and other executive stakeholders. - Can translate ambiguous customer and business problems into clear technical approaches and guide teams from exploration through implementation and production. - Demonstrate strong judgment about when to invest deeply in an individual customer challenge versus when to develop a repeatable solution for the broader segment. - Are an effective communicator who can translate complex technical and business topics across audiences and coach others to do the same. - Thrive in ambiguous, fast-moving environments and are energized by working with customers at the forefront of AI adoption. - Demonstrate strong ownership, humility, curiosity, and a commitment to helping both customers and teammates succeed. - Are personally committed to fostering the safe and beneficial development of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Staff+ Software Engineer, Kubernetes Platfo...
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 runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations - Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications - Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar - Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) <li&g
Growth Account Executive, AI Native
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 Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. Responsibilities: - Drive revenue growth through strategic account expansion and renewals - Own the full sales cycle for upsell opportunities while maintaining strong retention rates - Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups - Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations - Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic - Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap - Develop and execute account strategies that align Anthropic's solutions with customer business objectives - Proactively identify and mitigate retention risks while maintaining high customer satisfaction You may be a good fit if you have: - 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets - Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision - Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals - Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives - Analytical approach to understanding customer needs combined with creative solutions to drive expansion - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - Experience running strategic business reviews and managing executive relationships - Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation ra
Member of Technical Staff - Python SDK
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 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’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity. REQUIREMENTS: - 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software. - Knowledge of advanced Python features, especially async programming. - A strong product sense that manifests as a focus on developer ergonomics and productivity. - A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. - Ability to participate in on-call rotation and respond to production incidents. - Ability to work in-person in our NYC or Stockholm office. - Any of the following would be a plus: - Familiarity with modern data / ML / AI tools and workflows - Experience with Typescript, Go, or Rust
AI Support Engineer - San Francisco
About the Team OpenAI’s User Operations team shepherds our customers’ 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’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. 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 Software Engineer, iOS
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: We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key Responsibilities: - Architect and implement cutting-edge iOS applications - Develop novel solutions leveraging AI technologies - Optimize performance at all levels of the mobile stack - Champion best practices in mobile development - Obsessive attention to detail and app experience - Contribute to backend systems as needed Minimum Qualifications: - Expertise in Swift, UIKit, SwiftUI, and iOS frameworks - Proficiency with the latest mobile platform capabilities and intricacies - Practical experience with full-stack development and comfort working with backend technologies - A track record of shipping impactful, high-adoption mobile applications - Strong communication and mentorship skills - Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred Qualifications: - 0-to-1 experience building successful products in early-stage environments - Experience building applications that utilize modern ML/AI technology - 3D graphics, visual effects, and audio and video streaming on mobile - A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field
Member of Technical Staff (Data Scientist/Engineer...
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior. RESPONSIBILITIES - Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality - Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations - Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions - Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams - Communicate findings and bring clarity through close collaboration with Product and Search teams - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - MS in a technical field or equivalent experience - 4+ years of experience working as a Data Scientist, Analytics Engineer, or related role - Experience working on search, recommendation, or LLM-based products, with an emphasis on designing online metrics and analyzing A/B experiments - Strong proficiency in Python and SQL (expected to write production-grade code) - Deep knowledge of statistical analysis - Experience with Business Intelligence (BI) tools for visualization and reporting - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - Proficiency with Apache Spark and Databricks - Experience with the development or validation of LLM-as-a-judge systems - Prior work supporting customer-facing products at scale
Enterprise Account Executive, Federal Partners Sal...
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 Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities - Win new business and drive revenue for Anthropic by directly selling to Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close - Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids - Navigate complex technical sales conversations with partners' engineering and product teams - Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions - Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals - Build deep relationships with key decision makers within partner organizations - Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development - Create and maintain sales playbooks specific to SI and ISV sales motions - Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have - 7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs - Security clearances preferred - Strong track record of closing complex technical sales to partner organizations - Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria - Experience navigating technical requirements and security standards specific to public sector implementations - Proven ability to exceed revenue targets in partner-focused sales roles - Strong technical acumen and ability to engage with partners' engineering teams - Experience coordinating with cloud providers in complex deal scenarios - Excellent communication skills and ability to present to both technical and business audiences - Strategic thinking combined with hands-on sales execution capabilities - Understanding of public sector procurement processes and how partners operate within them - A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations Deadline to apply: None. Applications will be reviewed on a rolling basis. <div c
Technical Program Manager, Enterprise Commerce
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's enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams. We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress. Responsibilities - Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal - Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit - Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom - Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together - Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them - Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have - Background in revenue operations, order-to-cash, billing platform, or finance systems product management - Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure) Deadline to Apply: None, applications will be received on a rolling basis. 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: <div class="pay-range"&g
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