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Real Estate Project Manager
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 are looking for a detail-oriented Real Estate Coordinator to join our Workplace and Real Estate team at Anthropic. This critical role will be a key coordinator in our global real estate projects across multiple office locations, serving as the central liaison between external project managers, vendors and internal stakeholders. The ideal candidate will bring 7+ years of corporate real estate project management experience, with exceptional organizational skills and the ability to manage multiple concurrent projects, maintain meticulous attention to detail in a fast paced environment. Project Oversight & Coordination - Coordinate the delivery of multiple real estate projects across an international portfolio, ensuring swift project set up, timely completion, and within budget parameters - Serve as primary liaison between external project managers and internal stakeholders, facilitating clear communication and project alignment - Assist in monitoring milestones, deliverables, and potential risks across all active projects - Support in project meetings and coordinate follow-through on all commitments Space Planning & Moves Management - Coordinate office moves and team relocations as we expand into new spaces and optimize existing neighborhoods - Develop move plans and timelines, coordinating with IT, Security, Facilities, and affected teams to ensure plans and roles and responsibilities are clearly communicated - Ensure moves are executed on time and with minimal disruption Financial & Administrative Management - Lead new project setup including obtaining Certificates of Insurance (COIs), processing initial wire transfers to new Landlords for deposits and first month rent, raising internal purchase orders (Zip), and coordinating with Finance Team on obtaining Letters of Credit - Coordinate with Finance team to ensure proper documentation and compliance with Treasury Regulation requirements and accountable plan policies - Maintain project budgets with external project managers and flag variances to leadership, ensuring fiscal responsibility across all initiatives - Support lease administration activities across the global portfolio Stakeholder Communication & Reporting - Prepare and distribute regular project status updates to stakeholders, creating written updates that clearly communicate progress, challenges (including mitigation steps taken) and next steps - Ensure all project documentation is properly maintained and accessible - In partnership with external project managers, ensure project delivery meets Anthropic standards Minimum Qualifications: - Possess exceptional attention to detail with strong organizational and time management skills - Have experience coordinating office moves, restacks, and space reconfigurations in corporate environments - Dem
Regional Vice President, Sales EMEA
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 hiring a Regional VP for EMEA to own and lead our UKI, Benelux, and Nordics business. You'll inherit a team of nine quota-carrying enterprise AEs across three hubs: London, Amsterdam, and Stockholm, and be responsible for building the management layer, operating model, and partner ecosystem that takes Northern Europe from early traction to consistent, scaled revenue. This is a Director-level hire with second-line ambition. You'll report directly to the VP EMEA and operate with meaningful autonomy across pipeline, hiring, partner relationships, and executive engagement. Northern Europe represents the highest growth potential in EMEA. The UKI holds the largest LangChain user base and enterprise footprint in the region, while the Nordics and Benelux are building strong momentum with significant upside ahead. WHAT YOU'LL OWN Team leadership and performance - Lead, develop, and expand the Enterprise Sales teams across UKI, Benelux, and Nordics from day one - Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency - Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles - Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales Revenue - Own the Northern Europe number: quarterly and annual quota attainment across all three sub-regions - Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to VP EMEA and leadership - Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations - Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in Northern Europe Hiring - Manage multiple open roles across Northern Europe simultaneously: owning the full hiring lifecycle across pipeline, assessment, and closing - Partner with the retained search firm and internal talent team to move at pace without compromising on quality - Define the headcount profile for Northern Europe beyond Q3 and feed into H2 planning, ensuring the team is built ahead of the revenue curve Partner ecosystem - Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across UKI, Nordics and Benelux - Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion - Represent LangChain at partner QBRs and executive engageme
Research Operations Lead, Biology
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 Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring a Research Operations Lead to be the operational backbone of our team: the person who makes sure scientists can walk in every morning and get straight to science. You'll take on the operational systems we've started — procurement, inventory, safety, equipment, space — make them better, and scale them as the lab and its needs grow. We're hiring for trajectory as much as for what you've already done: the scope of this role will grow with the size of the team, and we want someone who's excited by that. This role is a rare opportunity to build the operational foundation of Anthropic's biology team and to grow with it. The systems you put in place will shape how a frontier AI company does experimental biology for years to come. If you're energized by high-ownership operational work in the service of ambitious science, we'd love to hear from you. Key responsibilities - Own day-to-day operations end to end: ordering and inventory, equipment scheduling and upkeep, consumables, shipping and receiving, and general space organization - Build on and extend the operational systems a growing group needs: procurement workflows, inventory and sample tracking, equipment maintenance and calibration schedules, onboarding and training, SOPs - Manage facilities and space: coordinate buildouts, moves, and equipment installs; act as the primary interface to building management, contractors, and Anthropic's central Workplace and IT teams - Own the operating budget: track spend against plan, run the capital equipment purchasing process, and partner with Finance on forecasting and reporting - Manage vendor and supplier relationships: including contract research organizations: source and qualify vendors, negotiate quotes and service contracts, schedule preventive maintenance and field-service visits, and hold suppliers to their commitments Minimum qualifications <li class="font-claude-response-body whitespace-normal break-words pl-2"&g
Deployment Lead (DL), FDE - Tokyo
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Member of Technical Staff (Software Engineer, Appl...
Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
Security GRC Specialist
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 a hands-on Security GRC Specialist to own and scale our security and compliance programs while working closely with engineering and product teams. This role is central to building customer trust, enabling sales, and ensuring we meet evolving regulatory and security expectations without slowing down innovation. You won’t just maintain compliance, you’ll help shape how we build secure systems. WHAT YOU'LL DO: Compliance & Security Programs - Own and operate compliance frameworks (e.g., SOC 2, ISO 27001, GDPR, etc.) - Drive audits end-to-end: readiness, evidence collection, auditor coordination - Continuously improve controls and reduce compliance overhead through automation Customer Trust & Sales Enablement - Lead responses to customer security questionnaires, RFPs, and due diligence requests - Partner with Sales and Customer Success to unblock deals and build trust - Develop and maintain security documentation (trust center, whitepapers, FAQs) Engineering Collaboration - Work directly with engineering teams to design and implement practical security controls - Translate compliance requirements into technical, scalable solutions - Identify gaps and drive remediation projects (not just report them) Risk & Governance - Run risk assessments across systems, vendors, and processes - Maintain policies and standards, but keep them lightweight and actionable - Track and report on security posture and compliance status Process & Tooling - Improve how we manage compliance (evidence collection, control mapping, automation) - Evaluate and implement GRC/security tools where appropriate REQUIREMENTS: - Core Experience - 3–7+ years in security GRC, compliance, or security engineering-adjacent roles - Hands-on experience with frameworks like SOC 2, ISO 27001, or similar - Experience supporting audits and customer-facing security conversations Technical Mindset (Important) - Comfortable working with engineers and understanding systems (cloud, infra, APIs, etc.) - Ability to translate between compliance language and technical implementation - Experience with modern cloud environments (AWS/GCP/Azure) is a strong plus Execution & Ownership - Proactive and hands-on—you drive changes, not just track them - Able to balance rigor with pragmatism in a fast-moving environment - Strong communication skills, especially with customers and cross-functional teams Bonus - Experience building or scaling a GRC program from early stages - Familiarity with automation in compliance workflows - Background in security engineering or DevOps HOW WE THINK ABOUT THIS ROLE: - Compliance is a means to build trust, not the end goal
Deployment Strategist Lead - Belgium
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
Senior Machine Learning Engineer
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 hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit 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 As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals - Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems - Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. - Partner cross-func
Senior Staff Machine Learning Engineer, (Machine L...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with ML Platform, engineering, product, and risk leaders to design, implement, and scale advanced modeling approaches that drive critical decisions across the company. You will elevate our modeling capabilities, influence architectural direction, and ensure our systems can support increasingly sophisticated workloads. You will mentor senior engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. If you are passionate about modern machine learning and excited to drive high-impact innovation across a growing organization, Affirm is the place for you. What you’ll do - You will define and drive multi-year, multi-team technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing the roadmaps of partner teams and platforms. - You will lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex, cross-functional initiatives and ensuring systems remain reliable, extensible, and prepared for increasingly sophisticated modeling workloads. - You will partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, define new opportunities for ML impact, and guide infrastructure evolution required for next-generation ML methods. - You will provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading ML expertise through documentation, talks, and cross-org guidance. - You will drive clarity and alignment on ambiguous, high-stakes technical decisions, resolving cross-team tensions, balancing competing priorities, and exercising judgment optimized for the broader engineering organization. - You will champion operational and system excellence at the area level, owning the long-term health, availability, and evolution of critical ML systems, and ensuring robust testing, monitoring, and reliability practices across teams. What we look for - You have 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems, with a proven record of driving technical innovation and delivering measurable business impact. Relevant PhD can count for up to 2 YOE. - You have experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment. You use distributed frameworks such as Spark, Ray, or similar large-scale data processing systems. - You are proficient in Python and ML frameworks, including PyTorch and XGBoost. You are experienced with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent internal platforms. - You have a strong understanding of representation learning and embedding-ba
Product Marketing Manager
About the Role At Character.AI http://Character.AI, our mission is to build the future of AI entertainment, giving everyone access to personalized, engaging AI experiences. To bring that mission to the world, we need a product marketing leader who can own how we launch, how we message, and how we show up—in app stores, inside our product, and across every surface users encounter. As PMM, you will lead go-to-market for product launches, own ASO performance across iOS and Android, and write the in-product copy that drives conversion across our monetization surfaces. You’ll partner with Monetization PMs (who own revenue strategy, pricing, and channel P&Ls) to translate their decisions into compelling user-facing messaging. This is Character’s first dedicated PMM hire. You’ll report to the Head of Growth Marketing and sit at the center of Product, Growth, and Creative—defining the function from the ground up. Responsibilities Go-to-Market Strategy - Lead GTM end-to-end for product launches: positioning, messaging, launch plans, cross-functional timelines, and branded campaigns - Own the c.ai http://c.ai+ subscription promo calendar: plan and execute deals, discounts, and trial offers timed to brand moments, cultural moments, and product launches - Conceive and execute branded campaigns that build awareness, drive trial, and reinforce Character’s brand with consumers - Build and maintain the positioning framework: product positioning, competitive messaging, and value propositions that evolve with the product and market - Monitor the competitive landscape: track competitor positioning, pricing, and marketing to inform messaging and differentiation - Define success metrics for every launch and build repeatable playbooks from learnings App Store Optimization (ASO) - Own app store listing performance across iOS and Android: keyword strategy, metadata optimization, conversion rate optimization, and ranking tracking - Lead creative collaboration with the design team to ensure screenshots, preview videos, and descriptions are high-converting and brand-aligned - Own app store promo submissions and execution: feature nominations and promotional placements with Apple and Google, aligned with the GTM and subscription promo calendars - Own custom product page (CPP) strategy and execution: build, test, and iterate on tailored store experiences for different audiences, campaigns, and channels - Own ASO localization across international markets: localized keywords, metadata, screenshots, and descriptions - Set ratings & reviews strategy: define the approach for review solicitation and sentiment monitoring; partner with support to execute - Report on ASO performance: impression-to-install conversion, keyword rankings, CPP performance, and promo impact In-Product Monetization Copy - Write and own conversion copy across monetization surfaces: subscription upsells, paywall modals, upgrade prompts, pricing pages, and free-to-paid nudges—hands on keyboard - Craft the narrative arc of the free-to-paid journey: ensure every touchpoint reinforces the value of Character+ and moves users toward conversion - Partner with Monetization PMs to translate their decisions into compelling user-facing messaging - Run and interpret A/B tests on in-product copy to improve upgrade rates, reduce churn, and optimize conversion - Maintain a copy system for monetization surfaces: a library of tested headlines, CTAs, and value prop messaging the team can draw from and iterate on Requirements - 5–8+ years of product marketing experience at a high-growth consumer tech, AI, or subscription-based company - Proven track record of leading product launches and branded campaigns that drove measurable adoption, engagement, or revenue - Strong hands-on copywriter: you’ve personally written in-product copy that drives conversion—upsell flows, paywalls, pricing pages - Deep ASO experience: you’ve owned app store listing performance, keyword strategy, and creative testing on iOS and/or
Staff+ Software Engineer, Safeguards Evals
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 How do we know our safety systems actually catch misuse? Anthropic increasingly uses AI to investigate potential misuse of Claude — analyzing real-world traffic to surface bad actors, policy violations, and emerging threats. Its findings inform enforcement actions and model launch decisions, which means we need rigorous, trustworthy answers to questions like: Does the monitoring agent catch what it should? Where does it fail? Does it stay reliable as adversaries adapt, as models improve, and as the agent itself changes? This role builds the evaluation infrastructure that answers those questions. You'll sit at the intersection of applied ML research and engineering — designing experiments to measure how well an investigative agent performs across harm areas, building datasets that represent real abuse rather than synthetic benchmarks, and shipping those methods into pipelines that gate every change to the system. Your work directly determines how much trust Anthropic can place in its automated abuse detection, and where we invest to make it better. Key responsibilities - Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases and grading approaches for a complex long horizon agent - Construct high-quality eval datasets representing real-world misuse across harm areas (e.g., cyber attacks, bio weapons, influence operations), drawing from real traffic patterns and synthetic generation - Measure agent performance end-to-end (detection precision/recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas - Analyze coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as agent capabilities advance - Productionize successful research into regression and release pipelines that run on every agent change, prompt update, and underlying model upgrade - Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support - Construct RL environments to improve Claude’s safety investigation capabilities. Minimum qualifications - Proficiency in Python and comfort working across the stack - Experience building and maintaining data pipelines - Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning - Strong data analysis skills — you can draw reliable insights from large datasets - Ability to move fluidly between research prototyping and production-quality code - Ability to translate ambiguous problems into concrete, testable experiments Preferred qualifications - 8+ years of industry software engineering experience -
Member of Technical Staff (AI Infrastructure Engin...
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
General Manager - 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. This is an in-country role. ABOUT THE ROLE We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall country strategy and deliverables, in line with the company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the country. As part of the role, you will: - Develop and execute our Country strategy, including sales, customer delivery, KPI setting and hiring - Design the optimal pipeline to reach our ambitious sales targets in the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market - Hire the founding country team responsible for sales and implementations - Define event priorities and where to invest for brand awareness - Represent ElevenLabs in events and media appearances - Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team - Ideate, own and drive big bets in the country REQUIREMENTS - 15+ years of experience leading teams and highly complex projects - Background in consulting and sales - Deep expertise in deploying technical products and/or solutions to enterprises - Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results - Outstanding communicati
Staff+ Infrastructure Engineer, Cluster Infrastruc...
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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 10+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,
IT Support Dublin, EMEA Regional Lead
About the Team The IT Services and Support team is responsible for delivering seamless, efficient, and reliable workplace technology across the organization. We provide frontline IT support, run employee lifecycle operations, support conference rooms and events, manage vendors and assets, and continuously improve systems, documentation, and workflows to strengthen the employee experience as OpenAI grows. About the Role As the EMEA Regional IT Support Lead based in Dublin, you will be the senior onsite IT owner for the Dublin office while serving as the regional lead for IT support across EMEA. You will combine high-quality hands-on support with regional coordination, operational leadership, and process improvement. Your scope includes frontline support, onboarding and offboarding, AV and event readiness, vendor and equipment management, office build and workplace technology support, executive support, and the design of scalable support workflows across offices and time zones. We are looking for someone who is customer-focused, technically strong, and able to operate independently in a fast-moving environment. You should bring strong judgment, clear communication, and the ability to turn ambiguous operational needs into reliable systems that improve the employee experience. This role is the onsite IT lead in our Dublin office, serves as the regional lead for EMEA IT support, requires 5 days in office per week, and offers relocation assistance to new employees. This role is based in our Dublin office. In this role, you will: - Own EMEA IT Support: Take end-to-end ownership of the regional support experience, from prioritizing needs and resolving escalations to addressing systemic gaps and driving improvements. - Lead EMEA Regional Support: Partner across offices and time zones to improve coordination, strengthen support coverage, and drive a more consistent employee experience across EMEA. - Own Employee Lifecycle Operations: Lead or support onboarding and offboarding workflows including device preparation, account readiness, access coordination, and day-one support. - Drive AV and Event Readiness: Support conference rooms, executive meetings, events, and other high-visibility gatherings, ensuring workplace technology and AV systems are reliable. - Manage Vendors and Equipment: Coordinate procurement, repairs, maintenance, inventory tracking, and device management practices to maintain secure, standardized, and scalable operations. - Partner on Office Build and Workplace Technology: Work closely with Workplace Services, Security, and other stakeholders to support office growth, changes, and workplace technology readiness. - Improve Support Systems and Processes: Identify friction, improve documentation, build repeatable workflows, and introduce lightweight automation and scalable operational improvements across support, inventory, onboarding, and related IT processes. - Provide Executive and White-Glove Support: Deliver thoughtful, high-touch support for executives and other critical stakeholders when needed. - Collaborate across OpenAI: Communicate clearly with technical and non-technical partners, align stakeholders, and drive well-scoped initiatives without relying on formal authority. You might thrive in this role if you: - Have strong technical expertise in macOS and working knowledge of Windows, along with identity and device management tools such as Azure AD, Jamf, and Intune. - Have hands-on experience with enterprise collaboration and productivity platforms such as Google Workspace, Microsoft 365, Slack, and Atlassian products. - Have experience configuring and troubleshooting AV and collaboration systems such as Google Meet, Microsoft Teams, and Crestron in office and event settings. - Demonstrate excellent written and verbal communication skills and can explain technical issues clearly to both technical and non-technical audiences. - Have experience leading or coordinating support work across multiple offices, stakeholder groups, or time zones. - Have a track record of improving support operations through documentation, workflow design, automation, or lightweight scripting. - Can manage vendors, inventory, procurement, and workplace technology operations with strong execution and attention to detail. - Are effective at cross-functional project management and can move initiatives forward through influence, organization, and follow-through. - Bring a customer-first mindset, sound operational judgment, and the ability to stay calm and effective in high-pressure support situations. - Enjoy mentoring more junior teammates, supporting executives, and helping scale regional support practices. 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.
Technical Program Manager, Engineering
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 evaluation 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 are the Platform and Security Engineering teams. In this role, you will lead critical programs across the design and development of core data storage systems and across the Security organization. You will be responsible for the success of critical programs across all the BUs within scale. 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: - Lead strategic planning initiatives for the Platform Engineering and Security teams, setting goals and identifying key performance indicators. - Drive Company/Business Unitwide programs and initiatives for the Platform Engineering and Security teams - Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success. - Build, maintain, and regularly communicate detailed reporting to inform strategic decisions across the company. - Ensure that Scale's security and compliance practices align with industry standards and regulations. Ideally, You’d have: - 8+ years experience as a Technical Program Manager - Significant experience in platform infrastructure, security or compliance in a role that required cross-departmental collaboration. - Experience in program management, including planning, organizing, and managing resources. - Experience leading day-to-day activities and improving processes. - An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes. - Strong analytical skills, with experience using data analysis tools or software. - Strong communication skills with experience presenting to and influencing senior and executive leadership. Nice to haves: - Experience applying AI or Machine Learning. - Experience in a high growth technology company. - Experience with SQL and/or another database language: understanding and hands-on experience with SQL and/or another database language, with the ability to handle, analyze, and interpret large datasets. - Experience in securing AWS-based Cloud environments. - Experience driving cross Business Unit programs that affect top level company goals. Compensation packages at Scale for eligible rol
Senior Solution Engineer- (AI & Start-Ups). San Fr...
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 - San Francisco, US - We are only considering locally based candidates - Senior Solutions Engineer - (AI & Start-Ups) - About the Role Digital Native SEs at Cloudflare work with the most innovative and cutting-edge companies on the planet — the startups and high-growth, cloud-native businesses that are building the next generation of Internet products. These are companies where the developers are the decision makers, and where the CTO is often personally responsible for shipping new products and getting the company's AI initiatives off the ground. This role is for a technologist who genuinely enjoys being in the room with builders. You'll be equally comfortable jumping into a Slack channel with a founding engineer, whiteboarding an architecture with a lead developer, and stepping into a strategic conversation with a CTO about their platform and AI roadmap. You speak the language of engineers fluently and can hold a credible, detailed technical conversation — but this is not a software developer role, and you won't be writing production code every day. Your superpower is technical discovery, translation, and evangelism: understanding what a builder is trying to accomplish, mapping it to the full breadth of the Cloudflare Developer Platform, and inspiring teams to build on Cloudflare rather than just consume a single service. The Digital Native segment leans heavily on Solutions Engineering to lead technical discovery within the cloud-developer vertical. You'll be expected to go deep on the Cloudflare Developer Platform — Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, Pages, and the broader developer ecosystem — far beyond basic storage, and to make the case for Cloudflare as the place to build. This role covers both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a "builder" personality with a strong mix of pre-sales/technical customer-facing experience wh
Data Engineering Manager, Product
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 Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization. You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth. In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members. You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions. Responsibilities : - Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars - Define and execute the strategic roadmap for product data foundations and analytics capabilities - Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts - Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements - Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team - Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams - Foster a culture of technical excellence, continuous learning, and data-driven decision making - Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure You might be a good fit if you have: - 8+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment - 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles - Deep expertise in data modeling, ETL pipelines, and data warehouse architecture - Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools - Proven track record of building and leading high-performing teams - Experience partnering w
Program Manager - IT Operations
About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: - Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. - Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. - Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. - Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. - Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. - Improve operational visibility, stakeholder alignment, and coordination across long-running cross-functional initiatives. - Create clarity across complex operational programs by establishing clear ownership, execution plans, operational accountability, and durable follow-through. - Own intake, prioritization, coordination, and completion of operational work originating from cross-functional teams and stakeholders. We’re looking for someone with: - 10+ years of program management experience leading complex cross-functional initiatives in high-growth, fast-moving environments. - Experience building and scaling operational processes, service models, and operating frameworks across technical and operational teams. - A strong track record improving internal operations, workplace technology, support environments, or other large-scale service-oriented programs. - Excellent judgment and execution skills, with the ability to drive prioritization, alignment, and sustained momentum across multiple teams and competing demands. - Strong communication and stakeholder management skills, with the ability to operate effectively with both technical and non-technical partners. 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.
Director of Safety ML
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 . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. We’re looking for a Director of Machine Learning to lead Reddit’s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities. This leader will drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale. In this role, you will own the roadmap for Safety and moderation ML, lead a team of applied scientists and engineers, and partner cross-functionally across Product, Engineering, Safety operations, Trust & Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems. You will leverage modern ML — including fine-tuned LLMs — to ensure Reddit remains a safe, welcoming, and positive environment for our global user base. Responsibilities - Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns. - Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement. - Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency. - Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience. - Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment. - Champion ethical and responsible AI practices in all Safety ML solutions. - Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards. - Represent Safety ML leadership internally and externally — including conferences, publications, industry groups, and cross-company collaboration initiatives. Required Qualifications <li&
Sr. Technical Sourcer
At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional sourcing role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with recruiters, hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. WHAT YOU'LL DO - Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels - Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance - Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines. - Build and refine your own tooling and workflows, leveraging AI to automate repetitive work and spend more of your time on high-judgment sourcing - Act as a candidate's first introduction to Perplexity AI, delivering an authentic and compelling story about our mission, product, and team culture - Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches - Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs WHAT YOU BRING - A strong desire to grow a career in sourcing, with clear dedication to advancing your craft and developing deep expertise in the field - Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles - Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper - Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges - Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before
Principal Data Scientist, Ads
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 . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do - Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. - Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. - Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. - Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. - Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale
Senior Computational Biologist - Early Discovery O...
Your work will change lives. Including your own. The Impact You’ll Make As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery. We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases and one in precision oncology (this role). In this role, you will: - Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in precision oncology disease biology - Pilot novel methods for target discovery, validation, and early patient population hypotheses to send programs into nomination cascades - Define internal criteria for target data packages and early patient population strategy - Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones - Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions. - Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support. The Experience You’ll Need - PhD in a relevant field (computational biology, bioinformatics, systems biology, cancer biology, etc.) with a very strong computational focus and 3+ year
Research Engineer (Senior Staff+), Safeguards Labs
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 Safeguards Labs is a new team operating at the intersection of research and engineering, chartered to investigate novel safety methods that protect Claude and the people who use it. We prototype new approaches to safe models, usage safeguards, and production safety — pressure-testing ideas through offline analysis and subsets of traffic before they graduate into production systems run by our partner Safeguards teams. Our work overlaps closely with account abuse, model behavior safeguards, and other safeguard subteams, and we serve as a research arm that can take on ambitious, ambiguous problems and turn them into deployed defenses. About the role We're hiring research engineers to define and execute the Labs research agenda. You'll scope your own projects, run experiments end-to-end, and decide when an idea is ready to hand off to a production team — or when to kill it and move on. The team is small and being built deliberately around a roughly 3:1 mix of researchers to software engineers, so each person has substantial latitude over what they work on and high leverage on the team's direction. Key responsibilities - Lead and contribute to research projects investigating new methods for detecting misuse of Claude, identifying malicious organizations and accounts, strengthening model safeguards, and other safety needs. - Design and run offline analyses over model usage data to surface abuse patterns, build classifiers and detection systems, and evaluate their effectiveness. - Develop and iterate on prototypes that could eventually feed signals into the real-time safeguards path, partnering with engineers on tech transfer. - Contribute to a broader research portfolio investigating methods for detecting abusive behavior in chat-based or agentive workflows, and for training the model to robustly refrain from dangerous responses or behaviors without over-refusing. - Build evaluations and methodologies for measuring whether safeguards actually work, including in agentic settings. - Write up findings clearly so they inform decisions across Trust & Safety, research, and product teams. Minimum qualifications - Have a track record of independently driving research projects from ambiguous problem statements to concrete results, ideally in AI, ML, security, integrity, or a related technical field. - Are comfortable scoping your own work and switching between research, engineering, and analysis as a project demands. - Have working familiarity with how large language models operate — sampling, prompting, training — even if LLMs aren't your primary background. - Are proficient in Python and comfortable working with large datasets. - Care about the societal impacts of AI and want your work to directly reduce real-world harm. Preferred qualifications - Experience building and training machine learning models, including classifiers for abuse, fraud, integrity, or security applications. - Knowledge of evaluation met
Senior Tools Programmer, UI & AI Workflows
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other programmers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus This role is open to multiple locations in North America (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limite
Staff Software Engineer, Public Sector
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. - Define technical strategy for agentic guardrails, explainability, and fleet orchestration. - Ensure system reliability and performance across multiple security classifications and network types. - Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance. - Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members. - Influence the long-term product strategy and technical roadmap for the Federal business unit. - Consult on the architecture of AI-powered solutions for large-scale federal contracts. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and
Manager, Commercial Counsel, GTM
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 Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives. This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups. - Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Manage a team to support enterprise technology and startups segments - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies Minimum qualifications - JD and active membership in at least one U.S. state bar - Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions - Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals - Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders Preferred qualifications - 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions - Active membership in the California state bar - Experience leading legal teams through high-growth phases at technology companies - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - A collaborative, low-ego approach to working with colleagues and external partners - A "doer" attitude—willingness to roll up your sleeves and pitch in where needed- - Comfort in fast-paced envir
Director, Clinical Pharmacology
Your work will change lives. Including your own. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. - Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external st
Engineering Manager, Global Public Sector
Scale’s rapidly growing International 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 national LLMs - Upskilling and advisory services to spread the impact of AI Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale. We are looking for a technical and strategic Engineering Manager to lead our Engineering efforts Internationally to power custom applications we build for our public sector clients. 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: - Manage the engineering team and drive technical delivery. - Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. - Comfortable working cross functionally, whether that be internal or external customers - Work across the entire product lifecycle from conceptualization through production - Build features end-to-end, system design, debugging and testing - Deliver experiments at a high velocity and level of quality to engage our customers - Influence the culture, values, and processes of a growing engineering team - Inspire and mentor engineers. - Collaborating with cross-functional teams to define, design, and ship new product features and experiences Ideally you’d have: - At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred - Proven success in leading, managing, and developing high-performing Engineering teams - Expertise in identifying product engagement patterns and trends for large scale consumer products - Track record of shipping high-quality products and features at scale - Desire to work in a very fast-paced environment - Ability to turn business and product ideas into engineering solutions - Excellent problem-solving skills, and be able to work independently or as part of a team PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Erns
Data Center OFE Strategic Sourcing Lead (Mechanica...
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 are hiring a Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic's Data Center mechanical Owner Furnished Equipment (OFE) footprint. In this role, you will own end-to-end sourcing strategies for critical mechanical cooling infrastructure such as air-cooled and water-cooled chillers, CDUs, fan coil modules, rear door heat exchangers, and HAC units. You will partner closely with engineering, demand planning, construction, and third parties to drive equipment availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center cooling and mechanical equipment, you will play a critical role in helping Anthropic to achieve its ambitious scaling goals. Key responsibilities - Drive commercial negotiations and Master Purchase Agreements for critical mechanical infrastructure such as air-cooled chillers, water-cooled chillers, cooling towers, CDUs, fan coil modules (FCMs), rear door heat exchangers (RDHX), HAC units, CRAHs/CRACs, dry coolers, and pumps. - Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets. - Implement frameworks for ensuring third-party data center partners and general contractors adhere to commercial equipment terms and technical specifications. - Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability. - Proactively monitor global supply chain volatility (e.g., lead times for chillers, CDUs, and air handling equipment) and execute contingency plans to avoid critical project delays. - Translate construction and capacity roadmaps into equipment forecasts and procurement pipelines. - Partner with Finance to optimize inventory and capital deployment strategy. - Establish efficient return, repair, and replacement workflows with OEMs to restore failed equipment quickly. - Negotiate warranty, startup/commissioning support, and spare parts terms, and track vendor performance. Minimum qualifications - Have 7+ years experience in supply chain management, sourcing, and procurement. - Have a track record of developing processes for forecasting, planning, and managing data center mechanical equipment for build-out and/or operations. - Are familiar with data center mechanical and cooling equipment (e.g., air-cooled and water-cooled chillers, cooling towers, CRAHs/CRACs, fan coil modules, rear door heat exchangers, HACs, CDUs, dry coolers, pumps). - Possess a bachelor's degree in a relevant domain (e.g., mechanical engineering, construction management, supply chain) or equivalent practical experience. Preferred qualifications - 10+ years experience in supply chain management, sourcing, and procurement. - 5+ years experience in data center or critical environment infrastructure. - Experience working with general contractors, MEP integrators, OE
Data Center Hardware Operations 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 role As the Hardware Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center hardware. You will be accountable for all regional data center physical operations including material movement, physical deployment, bring-up, maintenance, and incident response for complex network and high performance compute platforms. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: - Define the Hardware Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting. - Oversee third-party delivery and bring-up of network and compute systems from material delivery through QA testing, handover to production, and ongoing operations and maintenance. - Drive development of tools and processes in support of operations workflows, traceability, and vendor coordination. - Develop innovative approaches to improve time to market & equipment availability for data center hardware. - Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes. - Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: - Have 7+ years of experience in data center operations as a manager, engineer, technical lead or related role. - Can demonstrate a proven track record overseeing a portfolio of mission critical systems. - Are a subject matter expert in operational processes including deployment, maintenance, material movement, and warehousing. - Can demonstrate subject matter expertise common data analytics/dashboarding tools such as PowerBI, Atlassian Analytics, Tableau, or similar. - Are experienced in third-party partner relationship management. - Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 10+ years of experience managing operations and logistics for large scale data centers. - An understanding the unique requirements of AI/ML workloads, including power, cooling, and network connectivity - Experience in supply chain management including bill of material definition, sourcing
Staff Software Engineer, AI Engineer
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work - Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. - AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. - Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. - Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company. What You Will Do - Lead technical strategy for AI/LLM systems across Midi's product surfaces - Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production - Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context - Partner with clinical, product, and executive leadership to shape the AI roadmap - Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org - Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team About You - 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems - Seasoned hands-on coder; still writes production Python regularly - Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost - Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously - Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products - Seasoned mentor; you've grown engineers into strong AI builders - Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs - Low-ego, curious, humble Nice to Have - Healthcare, clinical NLP, or regulated AI deployment experience - Track record of shipping agentic or large-scale RAG systems in production Interview Process - Recruiter Screen (30 min) - Hiring Manager S
Director, Investor Relations
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 Investor Relations team is responsible for managing the company’s engagement with its investors and the broader financial community. The Director of Investor Relations will be responsible for building the company’s investor engagement and investment narrative alongside the Head of Investor Relations, informing investors' understanding of Anthropic’s mission, strategy, financial performance, and core advantages that together form the investment thesis. This role is well suited to someone with analytical rigor and a background in capital markets who follows developments in technology and AI closely. They will be responsible for deeply understanding investors' perspectives on Anthropic as well as the broader industry, bringing strategic insights to leadership to help inform key decisions. Strong candidates pair depth in financial analysis with the ability to distill sophisticated financial and technical concepts into clear and concise investor narratives. They should be comfortable operating autonomously and building things that don't exist yet. Key responsibilities - Serve as a thought partner to the Head of Investor Relations in shaping the priorities and direction of Anthropic's investor relations program - Build strong relationships with senior members of the investment community as their primary point of contact - Draft and refine investor-facing messaging on the company’s financial performance, strategy and progress on key initiatives - Represent Anthropic in investor meetings, answering questions covering the company’s entire business and product suite - Advise leadership on investor sentiment, market expectations, and how key decisions are likely to be received - Develop a view of Anthropic’s shareholder base and how it should involve, leading investor targeting and outreach accordingly - Track developments across AI and the broader technology landscape, distilling them into concise internal briefings on how the market is thinking about Anthropic and the broader industry - Manage cross-functional initiatives that involve stakeholders across legal, finance, communications and other departments - Prepare the executive team for investor conversations by anticipating likely questions, sharpening key messages, and providing the supporting data - Help build the systems, templates, and processes that let a lean investor relations function operate at scale as the company grows Minimum qualifications - Experience in investor relations, equity research, investment banking, investing, or a comparable capital markets role - Experience synthesizing complex financial and strategic information into written work for sophisticated audiences — research notes, investment memos, investor updates, or equivalent - Demonstrated judgment handling confidential and market-sensitive information - Excellent w
ML Research Engineer, AI for Life Sciences
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a ML Research Engineer, you will bring cutting edge research into production-grade reality, tasked with making in silico design the dominant paradigm in drug discovery. Your central purpose is to architect, scale, and optimize the scientific codebases that power our LQMs. Over your first year, you will drive the transition of high-impact prototypes into robust products, orchestrate distributed training pipelines on world-class GPU infrastructure, and pioneer hardware-level optimizations that push the boundaries of computational chemistry. KEY RESPONSIBILITIES - Research, Architect, and Scale: Bring novel ideas and the content of scientific papers into high-performing and robust scientific code. - ML Engineering: Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks. - Ownership of the Lifecycle: Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage. ESSENTIAL SKILLS & EXPERIENCE - Academic Foundation: PhD, or research-focused MSc, in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods. - Software Excellence: Staff (5+ years) industry experience developing productionized software in professional teams. - Structural Biology Exposure: Experience or training in data-science related tasks related to structural biology. - Research Translation: Expertise translating research papers into concrete ML software artifacts. - Product Lifecycle Mastery: Experience supporting models in external-facing products, demonstrating the ability to bridge the gap between "research code" and "product code". HIGHLY DESIRED SKILLS & EXPERIENCE - Domain Expertise: Direct experience in biopharma or training leading-edge affinity, structure-prediction, or generative chemistry models. - Commercial Insight: A history of developing and launching successful commercial software products within a professional engineering team. - Advanced MLOps: Familiarity with MLOps practices on major cloud platforms to support automated scaling and model monitoring. - Collaborative Innovation: Experience working in interdisciplinary environments where AI intersects with physical or biological sciences. WHY JOIN US? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and
Member of Technical Staff (Software Engineer, Agen...
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product. - Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks. - Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations. - Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions. - Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences. - Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases. - Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs. - Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them. - Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks. - Strong execution: you can take ambiguous product needs, break them down, and
Director, Strategy & Operations, AI
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - TIME 100 Most Influential Companies (2023) - Fast Company Most Innovative Companies (2020, 2023) - Built In Best Places to Work (2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) - Great Place to Work certified (2020, 2021, 2022, 2023, 2024) - Fast Company Best Workplaces for Innovators (2022) - Built In LGBTQIA+ Advocacy Award (2022) Maven is building the leading platform in women's and family health. As we scale, the complexity of the business increases: multiple growth channels, cross-functional priorities, evolving products, and new opportunities driven by AI. We are looking for a Director of Strategy & Operations to help lead Maven through this next chapter. This role sits in the Office of the CEO, with visibility and impact across every major function. While the role will evolve with Maven's business needs over time, the first 12 months will be focused on AI Transformation & Organizational Intelligence, in close partnership with Product and Engineering. We are moving internally from treating AI as a productivity tool layered onto existing structure, to treating it as the intelligence layer that replaces the need for much of that structure in the first place. This is a business role — not an engineering role — for someone who thinks deeply about how organizations work, why they break, and how AI is rewriting the rules. This role is ideal for someone earlier in their career who is already living in the AI-native world, is energized by the organizational transformation question, and is ready to operate above their title. As the Director, Strategy & Operations you will: Lead AI Transformation & Organizational Intelligence - Serve as Maven's "context engineer" — build and maintain the internal knowledge management infrastructure that makes AI agents effective: documentation, decision logs, and the organizational context that allows AI to be genuinely useful rather than generic - Spearhead how Maven uses AI across every team — not by ma
Marketing Events Lead, Brand
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 Events Lead, Brand at Anthropic, you will own the strategy and execution of brand-focused events that create meaningful experiences and build Anthropic's share of mind in the AI landscape. You'll sit within the Marketing Events team and be responsible for conceptualizing, producing, and measuring events that authentically communicate who Anthropic is and what we stand for—from intimate thought leadership gatherings to large-scale brand activations at industry tentpole moments. Each experience the team creates prioritizes tangible problem-solving through live demonstrations and technical deep-dives, meaningful dialogue that advances both the technology and its responsible implementation, and direct business impact through growing brand awareness and customer affinity. You'll work cross-functionally with brand creative, communications, policy, and product teams to ensure every event reinforces Anthropic's unique position as a company building safe, reliable AI. This is an ideal role for someone who thrives at the intersection of brand storytelling and experiential production—someone who can translate a brand's values into physical and digital moments that resonate with diverse audiences, from developers to enterprise executives to policymakers. Responsibilities - Develop and execute brand events, ensuring alignment with Anthropic's broader brand and marketing objectives, including increasing unaided awareness and establishing AI provider mindshare - Manage a team of full time and contracted employees - Lead end-to-end production of Anthropic-owned brand events, including concept development, creative direction, vendor management, on-site execution, and post-event analysis - Collaborate closely with the brand creative team to develop compelling event identities, spatial design concepts, and experiential elements that bring the Anthropic brand to life in three-dimensional spaces - Partner with communications and policy teams to produce thought leadership events, forums, and experiences that position Anthropic as a leader in responsible AI development - Manage Anthropic's brand presence at priority industry conferences and sponsorship activations, overseeing booth design, experiential elements, and attendee engagement strategies - Build scalable event playbooks, templates, and processes that maintain brand consistency and creative quality as the program grows - Develop and manage relationships with external production agencies, venue partners, and experiential design firms - Track and report on event performance metrics, connecting brand events to awareness, sentiment, and affinity goals - Manage event budgets and timelines, balancing creative ambition with operational rigor - Stay current with experiential marketing trends, emerging event technologies, and innovative formats that could elevate Anthropic's event presence -
Principal Software Engineer, AI Enablement - Centr...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value. As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product. Responsibilities: - Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines. - Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions. - Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment. - Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem. - Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development. - Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership. Required Qualifications: - BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience. - Extensive experience with systems integration, technical leadership, and early-stage software development. - Deep programming proficiency in C++ and at least one other language (e.g., Python, C#). - Shipped at least one AAA game or large-scale, high-concurrency live service product. - Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives. - Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure. Desired Qualifications: - Experience extending or developing within Unreal Engine (C++). - Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration. - Background working on shared engine technology, central tools, or platform engineering teams. - Familiarity with the Runeterra and VALORANT IPs. <p&g
Senior Manager, Order Management – Partnership NPI...
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 an experienced Order Management and Quote-to-Cash professional to lead our third-party marketplace operations and drive automation across the order lifecycle. In this pivotal role, you'll own the operational backbone of how our products are transacted through cloud marketplaces, scale the systems and processes that support new product introductions, and solve complex, cross-functional challenges that sit at the intersection of finance, engineering, and go-to-market. You'll partner across the organization—and with external marketplace teams—to build financial infrastructure that scales with a rapidly growing business. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems. Key responsibilities Third-Party Marketplace Operations - Own end-to-end order management operations across third-party cloud marketplaces (AWS, GCP, Azure), ensuring accuracy, completeness, and timeliness of provisioning and transactions - Manage private offer creation, pricing configuration, and offer lifecycle across marketplace platforms, resolving non-standard pricing structures and contract modifications - Serve as the operational point of contact with external marketplace teams, coordinating onboarding, integration requirements, and platform-specific processes - Build SOX controls over marketplace transactions, disbursements, and reporting against internal systems of record Quote-to-Cash & Order Management Automation - Identify, design, and implement automation across the quote-to-cash lifecycle to enhance efficiency, scalability, and accuracy as transaction volume grows - Develop and track Order Management metrics that surface bottlenecks and support strategic decision-making - Partner with vendors to optimize order management and billing systems, evaluate new features, and implement scalable solutions New Product Introductions - Lead operational readiness for new product and model launches across partner channels, ensuring order management, provisioning, and pricing infrastructure is in place ahead of go-live - Conduct comprehensive User Acceptance Testing (UAT) for new launches and influence product introduction processes by providing expert guidance on order management and marketplace implications - Translate new commercial models and packaging into operational and system requirements across marketplace surfaces Cross-Functional Partnership - Cultivate strategic partnerships across the quote-to-cash ecosystem, including Go-to-Market Systems, Deal Desk, Legal, Tax, and Finance - Partner closely with Billing Engineering teams to define requirements, prioritize roadmap needs, and ensure systems support marketplace and consumption-based transactions - Collaborate with external marketplace teams to align on platform capabilities, integ
Support 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 We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. Responsibilities - Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice - Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed - Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script - Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team - Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly - Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage - Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value - Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code You may be a good fit if you - Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers - Have been the person an enterprise customer knows by name and reaches for first when they need technical help - Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease - Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows - Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward - Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either - Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the
Member of Executive Operations, San Francisco
About the Team Our Executive Operations team serves as trusted advisors and collaborators to OpenAI's executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We are pivotal in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives. With a commitment to excellence and a proactive approach, we are dedicated to empowering our executives and contributing to the overall growth and success of the company. Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take pride in creating a work environment that fosters collaboration, open communication, and authenticity, making OpenAI an excellent place to work for highly accomplished professionals. About the Role This posting is part of a shared hiring process for Member of Executive Operations opportunities at OpenAI. Rather than hiring for a specific team, we consider candidates across multiple opportunities and identify the best fit based on your experience, interests, and business needs as you progress through the interview process. These opportunities are 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 - Manage complex calendars, balancing competing priorities while ensuring leaders’ time is aligned with business needs. - Coordinate internal and external meetings, resolve scheduling conflicts, and facilitate effective communication across stakeholders. - Plan and manage domestic and international travel, ensuring seamless logistics and execution. - Support team operations, including All Hands meetings, offsites, happy hours, and other team events. - Process and manage expense reports in accordance with company policies. - Build strong working relationships across teams and develop trusted partnerships with the leaders you support. - Help improve operating rhythms, identify opportunities to streamline processes, and contribute to operational excellence. - Collaborate closely with other members of Executive Operations to support high-impact initiatives and cross-functional work. - Exercise sound judgment, professionalism, and discretion when handling confidential information. You might thrive in this role if you have - 4 to 12 years of executive support, executive operations, or similar experience. - Experience supporting one or more senior leaders in a fast-paced, high-growth environment. - Demonstrated experience managing complex calendars, scheduling across multiple stakeholders, and resolving competing priorities. - Experience coordinating complex travel, meetings, and other operational needs with strong attention to detail. - Excellent written and verbal communication skills with the ability to tailor communication to different audiences. - A collaborative mindset and enjoy partnering across teams to solve problems and move work forward. - Strong organizational skills and the ability to operate independently in an environment with changing priorities. - Fluency with Google Workspace, Slack, and modern productivity tools, with curiosity to learn new technologies. - Interest in AI and the technology OpenAI is building. - Comfort working in a fast-moving and often ambiguous environment. 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.
Principal AI Product Security Engineer
Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis. Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle. In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact. What You Will Do Game & Product Security Leadership - Partner with game studios to develop comprehensive security strategies for game design and development - Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development - Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms - Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle - Coordinate and participate in penetration tests and game feature security assessments - Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure - Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps AI-Driven Security Transformation & Automation - Identify and implement opportunities to apply AI to: - Vulnerability triage, prioritization, and remediation - Security operations workflows (alert analysis, investigation, response) - Product security processes (code analysis, findings analysis, pentesting support) - Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy - Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis - Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis - Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems) - Develop reusable AI-enabled components that scale across teams and studios - Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review - Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality Security Engineering & Platform Enablement - Design and implement scalable security solutions across cloud and backend systems - Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements - Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders&l
Head of Finance Systems & Automation
About the Role The Head of Financial Systems will own the strategy, implementation, and continuous improvement of Scale AI's finance technology stack. You are a builder-first leader who blends enterprise architecture with AI automation - eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands. You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle. Key Responsibilities ERP Ownership & Optimization Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap. Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting. Order-to-Cash & Procure-to-Pay Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing). Identify gaps between upstream systems and ERP, and close them through disciplined integration design. AI Agent Deployment Identify opportunities to replace manual finance workflows with AI/LLM-powered agents. Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation — reducing cycle time and surfacing actionable insights for Finance leadership. Systems Integration & Data Architecture Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem. Ensure clean, governed data movement from source systems to the general ledger and reporting layer. Operational Excellence & Controls Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems. Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements. Finance Stakeholder Partnership Serve as the primary technology partner to the CFO, Controller, FP&A, and Accounting teams. Translate complex technical constraints into business outcomes and align system roadmaps with Finance's strategic priorities. Team Leadership Build and lead a high-impact Finance Systems team. Foster a culture of curiosity, speed, and user-centricity — where the team is as proud of a clean reconciliation workflow as any external product shipped. What You'll Bring - 8+ years of experience leading finance systems or enterprise application functions in a fast-paced, high-growth environment - Deep, hands-on knowledge of ERP platforms (NetSuite strongly preferred) across core modules: GL, AP, AR, Fixed Assets, Revenue Recognition, Procure-to-Pay, Sales Audit, and International Consolidations - Strong understanding of Order-to-Cash and Procure-to-Pay process design, including the touchpoints between upstream sales/procurement systems and the ERP - Strong understanding of Sox IT General controls and track record implementing them - Proven track record designing and deploying AI/LLM-powered workflows or agentic systems to improve Finance team efficiency - Ability to design and govern scalable integrations and data flows across SaaS tools &l
Senior/Staff Software Engineer, Experience
About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: - Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on. - Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount. - Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster. - Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time. - Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong. Requirements: Senior and Staff Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, agent interfaces, observability, and developer experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. You should have: - At least 4 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver versioned APIs, SDKs, or client libraries - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience building
Support Delivery Lead, Government
About the Team OpenAI’s User Operations team helps customers adopt AI successfully and get exceptional value from our products. We resolve complex issues, provide technical guidance, and partner with Sales, Technical Success, Product, Engineering, Security, and other teams to deliver an excellent customer experience at scale. The Government Support Delivery team serves public-sector customers, including U.S. Government agencies and organizations operating under FedRAMP requirements. We help customers deploy and use OpenAI products reliably while navigating complex technical, security, and compliance needs. About the Role We are looking for an experienced technical support leader to build and lead the team responsible for supporting OpenAI’s government customers. You will set the team’s technical and operational direction, develop talented support engineers, and ensure that complex customer issues are resolved with urgency, sound judgment, and care. Your team will work directly with public-sector customers and partner closely with Product, Engineering, Security, Technical Success, and customer-facing teams. You will turn what the team learns from customer issues into lasting improvements across our products, documentation, tools, and support practices. This is an opportunity to shape a critical support function from the ground up and define how OpenAI delivers trusted, technically excellent support to government customers. This role is based in Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. To comply with a U.S. government contract, applicants for this position must be U.S. citizens, U.S. nationals, or U.S. persons (i.e., U.S. lawful permanent residents, refugees, and asylees). This role is based in Washington, DC. 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: - Build and lead a team of highly skilled support engineers, setting clear expectations and creating an environment in which people can do their best work and grow. - Set the technical and operational direction for Government Support Delivery, including service standards, success measures, team practices, and coverage planning. - Serve as a senior escalation point for complex and high-impact customer issues, coordinating the right experts across OpenAI and communicating clearly with customer and internal leaders. - Develop a support model that meets the needs of U.S. Government agencies and other public-sector customers, including organizations operating under FedRAMP requirements. - Build trusted relationships with strategic customers and represent OpenAI with professionalism, discretion, and sound judgment during critical issues. - Partner with Product, Engineering, Security, Technical Success, and customer-facing teams to improve escalation paths, launch readiness, product quality, and the overall customer experience. - Turn recurring customer issues into scalable solutions through better processes, documentation, training, self-service resources, automation, and product improvements. - Help scale global support operations, including on-call, holiday, and weekend coverage based on business needs, while contributing to the broader Support Delivery leadership team. You might thrive in this role if you have: - 12+ years of experience in technical support engineering, software engineering, customer engineering, site reliability, infrastructure, or a related technical field. - 6+ years of experience leading technical support engineering, customer engineering, or software engineering teams in high-scale, security-sensitive, or fast-moving environments. - A bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. - Experience supporting government, public-sector, regulated, or security-conscious customers and working through complex technical and organizational requirements. - Strong technical depth across areas such as SaaS applications, APIs, cloud infrastructure, authentication, networking, observability, or distributed systems. - A record of developing experienced technical teams, setting a clear direction, and balancing customer outcomes with team health and sustainable operations. - Experience leading critical incidents and customer escalations involving senior technical and business stakeholders. - The ability to influence Product and Engineering priorities using customer insights, operational data, and clear judgment. - A systems-oriented approach and experience using AI, automation, scripting, or internal tools to improve support quality and scale. - Excellent written and verbal communication skills, including the ability to explain technical, security, and compliance topics to a range of audiences. - A collaborative, mission-driven approach grounded in integrity, humility, discretion, and a strong commitment to customer 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.
Staff Data Scientist, Monetization
ABOUT THE ROLE: Character.AI http://Character.AI is building the future of open-ended interactions between people and intelligent agents. As our platform scales, so does the opportunity to build sustainable, user-aligned monetization through subscriptions, advertising, and virtual currency economies. We are seeking a Staff Data Scientist to partner closely with product, engineering, and growth teams to scale and optimize Character.AI http://Character.AI’s monetization systems. This role focuses on enabling teams to design, launch, and iterate on data-informed, user-centric monetization experiences, while shaping how we measure, experiment with, and grow revenue without compromising the creativity and openness that define Character.AI http://Character.AI. WHAT YOU’LL DO: You will partner closely with product and engineering teams to drive data-informed monetization across subscriptions, advertising, and virtual currency economies. This role defines success metrics, leads experimentation, and translates complex behavioral and economic data into actionable insights, while building the data science foundations needed to support rapid product iteration and long-term growth. QUALIFICATIONS: - 7+ years of experience as a Data Scientist working on consumer-facing products, ideally in chat, social, UGC, or entertainment platforms - Strong intuition for identifying the right questions and quickly driving to high-impact insights - Proven ability to turn analysis into product decisions and shipped outcomes - Comfortable working in fast-moving, experimental environments with incomplete data - Experience building or scaling data science practices, including experimentation, metrics, and analytics tooling YOU WILL BE A GOOD FIT IF YOU HAVE: - Direct experience supporting monetization systems, including: - Subscriptions and pricing - Advertising or ad marketplaces - Virtual currencies, economies, or gamified monetization - Background in consumer B2C products and/or B2B marketplaces ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Senior Technical Sourcer, Applications Engineering
About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times. The Recruiting team is at the heart of this mission, tasked with identifying and hiring exceptional individuals who align with OpenAI's values and cultural ambitions. Our approach to recruitment aims to set the standard for excellence and innovation in the field, connecting outstanding candidates with opportunities to impact the future of AI. About the Role As a Senior Technical Sourcer at OpenAI, you will play a key role in identifying and engaging top-tier engineering talent across a broad range of technical domains. Your focus will be on sourcing exceptional software engineers and technical talent to help build world-class teams advancing our mission in AI research and deployment. In this role, you will: - Lead sourcing strategies to identify and engage candidates across a variety of engineering disciplines, including software engineering, backend systems, product engineering, and related technical areas. - Develop and maintain a strong pipeline of passive candidates through proactive outreach, research, and networking. - Collaborate closely with hiring managers and technical leaders to deeply understand hiring needs and refine sourcing approaches accordingly. - Leverage advanced sourcing techniques and tools to identify and attract exceptional talent. - Represent OpenAI at industry events and conferences to promote our mission and connect with potential candidates. - Maintain accurate and organized candidate data and metrics to inform sourcing strategies and decision-making. You might thrive in this role if you have: - 5+ years of experience in technical sourcing, with a focus on engineering or technical roles. - A proven track record of successfully sourcing candidates across a range of software engineering and technical disciplines. - A strong understanding of technical concepts and the ability to effectively communicate role requirements to candidates. - Excellent communication and interpersonal skills, with the ability to build trust with both candidates and internal stakeholders. - Proficiency with sourcing tools and platforms, including LinkedIn Recruiter and applicant tracking systems. - The ability to manage multiple priorities and adapt quickly in a fast-paced, evolving environment. 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.
Technical Advisor Specialist (Part-Time Internship...
About the Program The Scale AI Technical Advisor Specialist (Part-Time Internship) role is a summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines. These Specialists will immerse themselves in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology. Throughout the program, you’ll have the freedom to work flexibly around your academic schedule, the chance to connect directly with AI experts, and the support of a team that values your contributions and professional growth. What You'll Do - Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI capabilities—such as training models for complex reasoning tasks or identifying model failure modes. You’ll gain exposure to state-of-the-art technologies and research, enhancing your technical expertise. - Join Focus Groups: Participate in bi-weekly sessions where you’ll exchange insights, discuss evolving AI techniques, and learn from experienced researchers. This forum encourages deep exploration of topics and helps you develop critical thinking and communication skills. - Engage in Team-Based Projects: Collaborate with small groups of specialists on creative challenges—ranging from drafting blog-style content to conceptualizing innovative AI solutions. By working closely with peers, you’ll refine your teamwork, leadership, and problem-solving abilities. - Work Independently & Flexibly: Set your own working hours, ensuring you can prioritize your academic life while still making meaningful progress. The environment is structured to accommodate your schedule without compromising the quality of your contributions. Who Should Apply - Academic Background: Enrolled students in computer science, mathematics, engineering, or a related STEM field. - Technical Skills: Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions. - Mindset: Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts. Why Join Us? - Real-World Impact: Your work will have tangible influence on the direction of AI capabilities, giving you a sense of purpose and involvement that goes beyond typical internship work. - Professional Growth & Networking: Connect one-on-one with AI professionals, build relationships with fellow specialists, and expand your industry network. - Optional In-Person Meetups: Opt to join occasional regional gatherings to meet peers and Scale AI personnel face-to-face. These events provide opportunities for more personal interactions, fostering deeper connections and insights that complement your remote work. - Pathways to the Future: Exceptional specialists may be invited to continue working with Scale AI. Alumni networks and ongoing support keep doors open for future collaborations and career advancement. - Compensation & Flexibility: $50/hour; 5-20 hours a week, and fully remote (within the U.S.) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This
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