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Hardware Operations Engineer
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Hardware Operations Engineer to serve as the technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our datacenters 5 days per week. Key Responsibilities - Drive technical triage and resolution of complex hardware failures impacting production systems. - Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability. - Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans. - Collaborate with Cloud Service Provider operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities. - Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards. - Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities. - Support new hardware introductions, validation activities, and production readiness reviews. - Coordinate spare parts strategy and inventory planning with supply chain and site teams. - Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs. - Develop scalable operational standards and best practices that can be deployed across future Stargate campuses. - Mentor on-site technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence. Qualifications - 8+ years of experience supporting large-scale datacenter hardware infrastructure, with experience in a senior technician, sustaining engineering, or hardware operations leadership role. - Deep expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture. - Strong experience diagnosing complex hardware failures and leading repair efforts in production environments. - Experience conducting root cause analysis and driving long-term corrective actions. - Strong understanding of hardware reliability engineering principles and fleet-health management. - Proven ability to partner effectively across engineering, operations, manufacturing, and vendor organizations. - Comfortable operating independently in high-priority production environments with significant operational responsibility. - Excellent written and verbal communication skills with the ability to influence technical and operational decisions. - Experience developing operational processes, maintenance standards, and technical documentation. - Ability to travel occasionally to support new campus deployments and operational readiness activities. Preferred Qualifications - Experience supporting large-scale GPU clusters or AI/ML infrastructure environments. - Familiarity with fleet health systems, telemetry platforms, and hardware monitoring tools. - Ability to identify appropriate data and perform detailed analysis to support all elements of this role, including dashboard development - Experience with failure analysis methodologies such as FRACAS, RCCA, 5-Why, Fishbone, or FMEA. - Knowledge of Linux system administration and hardware validation workflows. - Experience supporting hyperscale datacenter operations or HPC environments. - Familiarity with server manufacturing, rack integration, and NPI-to-sustaining transitions. - Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent experience. - Experience applying Environmental Health and Safety (EHS) practices in mission-critical datacenter environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff + Sr. Software Engineer, Cloud Inference Lau...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaborati
Design Director, Brand & Marketing
ABOUT THE ROLE We're looking for a Design Director to lead Perplexity's Brand and Marketing design team. You'll manage a team of designers across brand, web, motion, and enterprise marketing — and be responsible for the quality, consistency, and creative ambition of everything the brand puts into the world. This person would focus mostly on operations, stakeholdership, and creative strategy alignment, while working alongside our Creative Director who will continue to own the visual centers and art direction of the day to day projects. You'll report to the Head of Design and work closely with Growth, Comms, Partnerships, and Product Marketing. WHAT YOU'LL DO - Lead and manage the Brand design team — currently ~8 people across brand, motion, web, enterprise marketing, and ambassadors - Own hiring, team development, and career growth for the Brand org - Own and define the long-term brand strategy, including the brand vision, narrative, and guidelines, ensuring design output aligns with overall company business objectives. - Partner with the Creative Director on maintaining visual quality and brand coherence across all touchpoints - Run the operating model for Brand's involvement in launches, campaigns, partnerships, and GTM moments - Build a production workflow that keeps up with Perplexity's speed without sacrificing craft - Be the point of contact for cross-functional partners — Comms, Product Marketing, Partnerships, Events — so requests are triaged, scoped, and delivered - Manage vendor relationships, contractors, and external agencies where needed - Help shape the brand's creative ambition as the company scales WHAT WE'RE LOOKING FOR - Experience leading a brand or marketing design team of 5+ people at a consumer tech company - Strong people management instincts — you know how to develop designers, give honest feedback, and build a team that's greater than the sum of its parts - Operational strength — you can build intake processes, manage capacity, and keep a fast-moving team organized without creating bureaucracy - Good creative taste and enough design fluency to earn the team's respect, even if you're not the one pushing pixels day-to-day - Experience partnering with comms, marketing, and GTM teams on launches and campaigns - Comfort working alongside a strong Creative Director — this role is about enabling great creative work, not competing with it
Infrastructure Tax 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 Anthropic is making significant, sustained investment in compute infrastructure to support our AI safety mission. We are looking for an Infrastructure Tax Lead to own tax end-to-end across that portfolio — sitting at the point of deal flow, embedded with the Infrastructure team, and coordinating across Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. Responsibilities - Serve as the embedded tax partner to Infrastructure team on deal intake: gather facts on site specs, counterparty structure, commercial terms, and timing; provide structure review and term-sheet input early enough to shape the deal - Lead Incentives workstream on state and local incentives, sales and use exemptions, property tax incentives, and site selection tax input; ensure incentive commitments and compliance obligations are reflected in the integrated tax position for each site - Partner with Tax Transactions and Tax Planning teams on service vs lease characterization, entity structure, and own contract tax provisions;and treatment across a portfolio of non-standard structures - Lead after-tax deal economics: bonus depreciation modeling on large-scale buildouts, NOL utilization, and scenario analysis; partner with Tax Planning, Tax Operations, and Infrastructure Accounting to ensure tax assumptions are reflected accurately in deal approval packages - Coordinate with Technical Accounting on lease-versus-purchase treatment, consolidation questions, capitalization policy, and book-tax differences across a range of deal structures - Stand up and maintain datacenter entity structures across jurisdictions: entity formation, operationalization with local teams, contemporaneous documentation, withholding on cross-border financing, permanent establishment risk, and debt-versus-equity characterization - Partner with transfer pricing on policy for the infrastructure footprint: intercompany compute pricing, benchmarking, and documentation that will withstand scrutiny as intercompany flows scale - Partner with the tax provision team on quarterly impact of new structures and deferred tax positions; ensure there are no surprises between deal close and quarter close - Build and maintain infrastructure tax playbooks, issue-spotting checklists, and internal processes so the function scales with deal volume rather than linearly with headcount You may be a good fit if you have - 12+ years of tax experience with significant exposure to datacenter, tax planning, including meaningful international range - JD or CPA required; LL.M. in Taxation or MST a plus - Experience standing up and maintaining entity structures across multiple jurisdictions, including contemporaneous documentation and operationalizing with local finance, legal, and accounting teams - Working fluency in cross-border withholding on intercompany and third-party financing, permanent establishment analysis, and debt-versus-equity characterization - Track record of owning the integrated tax position across a portfolio of deals — not advising on
Deployment Strategist Lead - Brazil
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
Member of Technical Staff (Data Scientist, Evals)
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. RESPONSIBILITIES - Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness - Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality - Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices - Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements - Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality QUALIFICATIONS - PhD or MS in a technical field or equivalent experience - 4+ years of experience in data science or machine learning - Strong proficiency in Python and SQL (expected to write production-grade code) - Experience building within a modern cloud data stack, specifically AWS and Databricks - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - 1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups - Prior experience working on customer-facing web products or consumer apps, with real user traffic at scale - A strong research background, with experience applying research methods to real-world ML problems - Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets
Staff Machine Learning Engineer, AI Generation Eng...
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 Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment - Drive technical execution with high autonomy, making critical design and implementation decisions independently ESSENTIAL SKILLS & EXPER
Software Engineer, AI Platforms
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: - Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. - Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. - Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. - Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. - Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. - Collaborate with product, research, and infrastructure engineers working across AI. - Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. - Debug and resolve complex production issues that span services and layers of the stack. - Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: - 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. - 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. - Proficiency in TypeScript, Python, or Ruby. - Strong system design skills and a track record of architecting resilient production systems. - Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: - Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. - Experience evolving large-scale, shared developer platforms to
Senior Media 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 As a Senior Media Manager at Anthropic, you will lead all paid media for our enterprise business and have key contributions for our broader brand media initiatives. You'll own how Anthropic and Claude reach the people who decide how organizations adopt AI, working within the Brand & Integrated Marketing team to turn commercial objectives into paid media plans that reach executives and consumers at the moments that matter. In this role, you'll own the enterprise paid media strategy end to end, including channel mix, budget allocation, campaign architecture, and measurement, across paid social, programmatic, video, broadcast, audio, out-of-home, and trade and industry media. You'll develop a point of view on where our investment belongs and make the case for it with evidence in smart, strategic ways that can be applied to our entire media mix. You'll partner closely with Product Marketing, Growth, Sales, and Marketing Data Science, and you'll manage the agency, vendor, and platform relationships that bring the work to life, bringing both strategic judgment and hands-on rigor to the execution. Responsibilities - Own Anthropic's paid media strategy for the enterprise business, from channel mix and budget allocation through campaign execution and measurement - Lead paid media planning and buying across the full channel set (paid social, programmatic, video, broadcast, audio, out-of-home, print, and trade and industry media) reaching the executives and functional leaders who shape how their organizations adopt AI - Partner with brand marketing stakeholders to ensure media learnings drive better decisions across every initiative - Serve as the media point of contact for the enterprise business, partnering with Product Marketing, Growth, and Sales to translate commercial objectives into media strategy - Allocate and optimize the enterprise media budget across channels based on performance data, market dynamics, and strategic priorities - Develop an independent point of view on channel mix and audience strategy, and advocate for it with evidence rather than deferring to agency recommendations - Build a durable understanding of how business decision-makers consume media, and use it to challenge assumptions carried over from consumer planning - Manage agency, vendor, and platform partner relationships day to day, holding partners accountable for strategic alignment and execution quality - Work with Marketing Data Science to build the measurement frameworks that show whether our paid media worked: brand lift, reach and frequency modeling, attribution, and pipeline impact - Present media strategy, performance insights, and recommendations to marketing leadership and cross-functional stakeholders - Track the media landscape, emerging platforms, and competitive activity across the AI industry to identify opportunities before they are obvious - Build and refine planning, execution, and reporting processes that scale as the organization grows You may be a good fit if you - Extensive experience in paid media planning and strategy, including owning channel mix, budget allocation, and audience strategy for campaigns
AI Upskilling Lead
About Scale AI At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy the technology, but to ensure it is trusted, understood, and used. We are building a discipline that integrates enablement, change management, and AI fluency to support national transformation efforts. The Role We are looking for a senior individual contributor to own and scale the learning system that drives GenAI adoption across public sector audiences. This is a builder's role with three mandates: design the learning and define the course portfolio, run the platform that delivers it at national scale, and represent Scale's learning capability in the regional AI conversation. The throughline is adoption. The catalog you build is not generic literacy. It is purpose-built to move government teams onto Scale's deployed use cases, which makes this role the link between building national AI talent and driving the adoption that talent enables. This role sits at the top of the adoption funnel. The credibility you build, in the room and in public, is what opens the door to deeper engagements. Key Responsibilities Own the learning system - Lead LMS strategy, selection, and rollout, including certification and badging, as the scalable backbone for national delivery. - Define and own the course catalog: the portfolio of programs and courses that builds AI fluency and, by design, drives adoption of Scale's use cases. Make it discoverable so it actively pulls teams toward the capabilities it supports. - Design and launch flagship programs, starting with expanding our foundational AI literacy course, built modular so they extend across audiences and markets. - Build the measurement layer that ties learning to adoption outcomes, not just completion counts. Scale across geographies - Adapt programs across markets with localization as a design principle, not an afterthought: language, institutional context, and cultural norms handled at the build stage. - Stand up repeatable delivery frameworks so programs can scale without rebuilding from scratch in each market. - Partner with delivery vendors and national training bodies where local routing requires it. Teach and represent - Deliver high-stakes workshops and briefings to public sector audiences across all levels, from working teams to senior leadership. - Translate technical GenAI concepts into formats that land for non-technical audiences, drawing on a genuine technical background rather than borrowed scripts. - Work with marketing and events to plan speaker series, sessions, and public-facing moments that build Scale's standing in the regional AI-learning conversation. Who You Are - 8+ years in learning and development, instructional design, or enablement, with demonstrated ownership of a learning function, platform, or program at scale. Public sector or government experience is strongly preferred. - Hands-on LMS leadership: you have selected, stood up, or scaled a platform, not just authored content on one. - A technical foundation in GenAI: you can teach the concepts directly and adjust depth to the audience in front of you. - Track record scaling learning across geographi
Senior Machine Learning Platform Engineer
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team! Responsibilities Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact. Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering. Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform. Lead build vs buy discussions on technologies that underpin the Platforms we serve. Participate in on-call and Incident Management processes. What We're Looking For 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture : Ability to design scalable and efficient ML systems. Cloud platform proficiency : The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge : A basic understandi
Product Marketing Manager, API
Perplexity is revolutionizing how companies get work done, and increasingly, how developers build the next generation of AI-native products on top of our search and answer infrastructure. We are seeking a Product Marketing Manager, API to join our team and serve as the strategic bridge between our API product reality and market impact. You will architect the external narrative of our developer platform, demonstrate what's possible to build with the Perplexity API, and run the campaigns that drive developer adoption and platform growth. If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you. RESPONSIBILITIES - Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it's for, what it replaces, and why it wins. - Understand developers and shape the platform narrative. Maintain a deep, hands-on view of how developers evaluate and build with AI APIs, and translate that understanding into positioning, demos, reference apps, and use-case showcases that make it obvious what teams can build on the Perplexity API. - Drive API product adoption. Own the metrics that matter for a developer platform, including signups, first successful API call, activation, weekly active developers, and revenue, and build the programs that move them. - Build and manage developer campaigns. Plan and run integrated campaigns across owned channels, paid, social, email, events, hackathons, and partner ecosystems, defining the brief, commissioning assets, and reporting on funnel performance. - Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch. - Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield. - Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype. - Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning. QUALIFICATIONS - 7+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches. - Experience marketing to developers, technical buyers, or an API, SDK, platform, or infrastructure product, with a strong grasp of the developer marketing playbook. - Technical fluency: comfortable reading API docs, running sample code, and credibly discussing tradeoffs like model choice, retrieval quality, latency, and cost with engineers and PMs. - Demonstrated ability to build and manage integrated campaigns end to end, including briefing creative, working with cross-functional partners, and tracking funnel performance. - Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams. - Deep familiarity with the rules of traditional marketing with an interest in breaking them. - World-class storytelling skills grounded in data, with the ability to summarize a product's value in a single sentence and defend it with evidence. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Manager, Startup Partnerships
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 Manager, Startup Partnerships at Anthropic, you'll lead a high-performing and technical team of startup partners focused on driving adoption of Anthropic's AI solutions across the startup landscape while ensuring responsible AI deployment. As a leadership role on the startups GTM team, you will lead a multi-functional team working across accelerators, incubators, and ecosystem partners across mature and emerging markets. The team’s goal is to obsess over winning day-zero founders globally and expand our customer base to ensure every new AI startup chooses to build on Claude. You will be instrumental in establishing Anthropic's presence in the global startup ecosystem, driving pipeline and new logos to startup sales across multiple regions. This role requires someone who thrives in ambiguity, can build from the ground up in new markets, and is driven to deliver exceptional results. What you'll do: Team Leadership - Experience managing P&L and hitting aggressive growth targets in fast-paced environments - Build and lead a high-performing, geographically distributed team of startup partners capable of influencing at senior decision-makers and GPs within accelerator, and partner organizations - Work with cross functional teams across sales, marketing, product & data science - Recruit, develop, and retain exceptional talent across multiple regions and cultures. Create a unified, results-oriented culture across geographies that attracts top talent and delivers outstanding outcomes to customers and the business. Ecosystem Development - Lead multi-threaded partner coverage across Accelerators, and Ecosystem Partners - Work with partners to establish Claude as the AI platform of choice across global startup markets - Create a framework and plan for scaled initiatives to help ensure early stage founders are choosing to build on Claude. - Support the initiation and development of strategic relationships with global and regional partners - Adapt partnership models and GTM approaches to local market dynamics, regulatory environments, and cultural nuances - Navigate complex environments including regulatory, compliance, and data sovereignty considerations You may be a good fit if you have: - 12+ years experience building and scaling partner ecosystems across multiple international geographies with demonstrable evidence of driving substantial revenue and P&L management - 5+ years management experience leading and scaling high-performing partnership teams - Deep experience operating across multiple geographies with understanding of local business practices, cultural nuances, and market dynamics - Strong background in enterprise technology sales internationally, ideally within cloud, AI/ML, or platform businesses - Executive presence with the ability to influence and build relationships at C-suite level across diverse cul
Associate Data Scientist
Associate Data Scientist (Scopely Explore (formerly known as Niantic)): Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving Scopely Explore's gameplay, engagement, and monetization. Collaborate with cross-functional teams, including game designers, product managers, and engineers, to define and prioritize data-driven objectives and strategies. Create and deliver regular reports, dashboards, and visualizations to communicate insights and recommendations to stakeholders. Develop and maintain data models, algorithms, and statistical models to support predictive analytics and forecasting. Collaborate with the game engineering team to ensure data quality, integrity, and availability for analysis. Stay up-to-date with industry trends, best practices, and emerging technologies in data science and business intelligence. Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings. May lead or supervise junior team members. Partial telecommuting permitted. Req: 00100718 Minimum requirements: Master’s degree or foreign equivalent in Computer Science, Data Analytics Engineering, Data Science, Statistics, or related quantitative field (or foreign equivalent). 1 year of experience in the job offered, as a Data Analytics Engineer Intern, Marketing Analyst Intern, Game Operation Intern, CRM Analyst, or a related occupation. Must possess academic training and/or experience in each of the following: SQL; Python; Machine Learning; R; Statistics; Data Visualization; Data Modeling. Salary: $174,304 to $202,500 per year Job Req. ID 00100718 APPLY NOW GreenHouse Link: https://careers.scopely.com/us/en/job/5284874008/Associate-Data-Scientist To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position, or Email resume to: jobs@nianticlabs.com (referring the job req ID) For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $174,304 - $202,500 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, P
Forward Deployed Software Engineer - SF
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. 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.
Recruiter, AI Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: - Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent - Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications - Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process - Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams - Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates - Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: - Have 5+ years of experience in full life cycle recruiting supporting technical research teams - Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations - Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies - Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities - Possess strong technical aptitude with the ability to understand and evaluate technical qualifications - Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research - Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: - Bring a deep interest in AI safety research - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have experience with academic recruitment and research communities <div class="content-pay-transparency"&
Senior Platform Product Manager - AI SDLC Trusted...
As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform - Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety - Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows - Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle - Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation - Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders Who You Are: - You have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling - You have experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators - You are comfortable navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership <li data-renderer-start-pos="
Senior Hardware Engineer - GPU & AI Infrastructure
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a member of the Infrastructure Foundation Hardware Engineering team, you will play a key role in enabling our mission to deliver a reliable, high-performing, and cost-efficient infrastructure that powers the world’s play. In this specialized role, you will be the technical lead for our GPU and AI accelerator ecosystem. You will be responsible for the full lifecycle of GPU hardware, from initial architectural evaluation and firmware qualification to large-scale fleet integration and performance tuning. You will ensure that Roblox’s massive-scale rendering and ML workloads run on the most optimized and stable hardware possible. You Will: - Architect & Prototype: Prototype next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware. - GPU Optimization: Drive the integration, performance testing, and debugging of GPUs in our fleet, focusing specifically on hardware-level optimizations, driver tuning, and thermal/power management. - Validation & Certification: Develop and execute rigorous evaluation and stress-testing strategies for GPU-heavy server platforms to ensure they meet Roblox’s unique demands for real-time rendering and low-latency AI inference. - Firmware & Systems: Lead firmware qualification (BIOS/BMC) and troubleshooting, implementing automation systems to manage GPU health, firmware updates. - Vendor Collaboration: Provide technical guidance and deep-dive feedback to hardware vendors. Lead critical investigations into component-level failures, triaging issues across the hardware, driver, and kernel layers. - Observability: Build and maintain advanced monitoring stacks (Grafana/Prometheus) to track GPU metrics like HBM utilization, thermal throttling events, and PCIe bandwidth saturation. You Have: - Education: BA/BS Degree in Electrical Engineering, Computer Engineering, or related field with equivalent practical experience. - GPU Expertise: 5+ years of hardware engineering experience with a specific focus on GPU architecture (NVIDIA HGX/MGX platforms preferred), AI accelerators, or high-performance compute (HPC) systems. - Deep Technical Knowledge: In-depth understanding of modern data ce
Senior Staff Security Engineer, AI
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable. You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices. WHAT YOU’LL DO: - Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one. - Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope. - Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering. - Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI. - Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter. - Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product. - Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. WHAT YOU'LL BRING: - 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice. - Solid understanding of AI and LLM
Staff+ Software Engineer, Safeguards
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 software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Safeguards Acceleration: Builds the agentic systems that let Anthropic's trust & safety teams work at the speed of the models they're protecting. Our flagship project extends Claude Tag, Anthropic's agentic AI collaborator, so it can safely operate on the sensitive data at the heart of Safeguards work: investigating abuse, calibrating detection systems, and closing the loop from signal to enforcement. The hard part isn't making the agent capable, it's making it safe. We develop sandboxed agent architectures, brokered and audited data access, and provenance guarantees that keep humans firmly in control as model capabilities grow. You'll work at the intersection of agent security, privacy engineering, and safeguards infrastructure, on problems that get more important with every model release. Safeguards Interventions: Responsible for what happens when a safety system fires. You'll own the composable arsenal of intervention options that sit between our detection stack (classifiers and probes) and the user, across every Anthropic surface: 1P products, the API, and third-party clouds. This includes inline interventions for areas like harmful bio, cyber, and acceptable usage as well as downstream areas like child safety and copyright. You'll build sync and async systems that operate at Anthropic scale, touching every request, and ensuring that we evolve and drive the quality, scale and systems of our interventions to enable our products to grow safely. Safeguards Data Intelligence: Builds the systems that catch what everything else misses. Our Claude Investigation tool, an autonomous Claude-powered agent that reasons across tens of billions of stored interactions to surface cyberattacks, weapons development, and state-sponsored influence operations; thousands of copies run in parallel, which is how a small team covers the whole surface. The hard part isn't finding signal, it's finding it at this scale, under real deadlines, on threats that are actively adapting to us. You'll do serious distributed-systems and data-infrastructure work — running an agent fleet across three clouds, building batch inference, summarization, and search infrastructure — against threats that are happening today, not hypotheticals. Responsibilities: - Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automa
Enterprise Account Executive, Conglomerate
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll lead Anthropic's engagement with Korea's largest conglomerate customers. You'll own the full sales cycle from prospecting to closing, working across a group's holding company and affiliates to drive adoption of safe, frontier AI technology. Responsibilities - Own and exceed revenue targets across a portfolio of major conglomerate groups - Map each group's structure - holding company, key affiliates, and in-group SI or services arms - to find where a win can expand across the group - Build relationships with senior stakeholders at both the group-strategy level and within individual affiliates - Navigate group governance: know which decisions need holding-company alignment and which affiliates can move independently - Work with internal teams (Product, Engineering, Applied AI, Partnerships) to tailor solutions to each group's standards and requirements - Turn single-affiliate wins into multi-affiliate or group-wide expansion You may be a good fit if you have - 8+ years of enterprise sales experience in Korea, with a track record selling into large conglomerate group accounts - Real understanding of conglomerate group structure and governance — holding companies, affiliate hierarchies, group-strategy offices, and in-group supplier/SI relationships - Experience managing multi-affiliate, multi-stakeholder sales cycles - A track record of expanding a single account into a multi-affiliate or group-wide deal - Excellent communication skills in both Korean and English - A passion for AI built and deployed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive benefits - Hybrid work model - Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p&
Senior Machine Learning - Avatar, Core AI
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Machine Learning Engineer, you will work on challenging problems leveraging state-of-art AI/ML to empower a new generation of Roblox experiences for our growing community of users. We are looking for senior AI/ML engineers to lead the vision of low compute cost, in experience machine learning at Roblox, taking leads on designing core components of on-device ML operations. We are designing a system for advancing model architecture, enabling more efficient deployment to cloud and client, while delivering on complex operations including Generative AI model deployment. The engineer will be driving the architecture optimization across a large range of compute devices, making efficient use of available compute resources. Join us in our exciting journey! You will: - Develop and implement state-of-the-art ML models - Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve the model performance - Establish a pipeline for delivering Roblox ML model on range of computing devices - Build cross-functional partnership on deployment and architecture optimization - Design and implement primary components of the in-experience machine learning system. You have: - - 2+ years experience in developing machine learning models, preferably in image, video, audio or 3D representations with Python - A strong understanding of deep learning frameworks including PyTorch and Tensorflow. - Experience in shipping ML features in production environments, including low powered devices. - Excellent cross-functional skills, partnering with organization leaders, driving to a conclusion. - Knowledge in state-of-the-art deep learning network architectures and primitives. - Experience with model optimization techniques. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on &
Data Engineer
About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: - Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. - Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. - Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. - Implement robust and fault-tolerant systems for data ingestion and processing. - Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. - Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: - Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering). - Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java. - Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3). - Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks. - Solid understanding of Spark and ability to write, debug and optimize Spark code. This role is exclusively based in our San Francisco HQ. Some of our roles are also located in our Mountain View or New York offices. We offer relocation assistance to new employees. 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.
Customer Success Engineer
About the Team The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology. About the Role We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements. Key Responsibilities - Become one of the foremost technical experts for our API and product offerings at Perplexity AI. - Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. - Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. - Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. - Build strong relationships with customer leaders and operators to ensure the success of their applications. Essential Qualifications - 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation. - Excellent proficiency in Python/NodeJS and developing scalable applications. - Good knowledge of a Cloud Service Provider (e.g. AWS) platform. - Hands-on experience in using Agentic Coding (Claude Code, Codex etc.). - Bachelor’s degree in Computer Science or a related field. - Proven ability to identify technical pain points in both our solutions and our customers’ implementations. Would be nice to have - Strong track record of building relationships with customers and cross-functional teams to drive performance improvements. - Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success. - Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively. - Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape. - Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.
Advanced Packaging Reliability Engineer
About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: - Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. - Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. - Develop, validate, and apply package reliability models and lifetime-prediction methodologies for assembly, qualification, and product operating conditions. - Evaluate and recommend package architectures, structural designs, materials, and assembly processes to maximize reliability performance and manufacturing robustness. - Predict electromigration lifetime of package interconnects under product-specific current, temperature, workload, duty-cycle, and PCB boundary conditions. You might thrive in this role if you have: - Enjoy solving complex reliability challenges associated with cutting-edge HPC packages, including very large package form factors, high power, and high-speed chip integration. - Are excited to develop new reliability test methodologies, predictive models, and engineering solutions rather than relying solely on conventional industry practices. - Are motivated by pushing the limits of heterogeneous verfical integration (chip/package/system), high-current power delivery, advanced cooling, and large-scale package architectures. - Want to influence product architecture and design decisions through simulation-driven insights across chip, package, cooling, and system levels. - Enjoy learning broadly across semiconductor technologies, including chip architecture, power delivery, package integration, materials, cooling, and system-level interactions. Minimum Qualifications - 8+ years of industry experience & knowledge of semiconductor package reliability principles and failure mechanisms, including electromigration, solder-joint fatigue, interfacial delamination, dielectric cracking, via failure, warpage, creep, stress relaxation, and material degradation. - In-depth knowledge of advanced packaging architectures, including 2.5D and 3.5D integration, interposers, embedded bridges, chiplets, large package substrates, HBM integration, redistribution layers, and package-level power delivery. - Demonstrated experience leading package failure investigations, performing root-cause analysis, and implementing effective design, material, process, or manufacturing corrective actions. - Strong experience with thermal and mechanical finite-element modeling of packages, including temperature distribution, warpage, stress, strain, fatigue, and interfacial reliability. - Strong understanding of package-material behavior, including coefficient of thermal expansion, elasticity, viscoelasticity, plasticity, creep, adhesion, fracture toughness, thermal conductivity, and temperature-dependent properties. Preferred Qualifications - Experience developing electromigration or interconnect lifetime models for solder joints, vias, redistribution layers, interposers, or package power-delivery structures. - Knowledge of package qualification methods, acceleration models, thermal cycling, power cycling, current-stress testing, and reliability lifetime extrapolation. - Familiarity with package failure-analysis techniques such as acoustic microscopy, X-ray imaging, cross-sectioning, scanning electron microscopy, and material characterization. - Experience supporting package-integrated voltage regulation, high-current power delivery, or high-transient-current AI and HPC products. - MS or PhD in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or a related technical field. - Strong communication, cross-functional collaboration, and technical leadership skills. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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.
Head of Ads Enterprise Marketing
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We are hiring a Head of Enterprise Ads Marketing to define and scale OpenAI’s global marketing strategy for enterprise advertisers, agencies, and strategic brand partners. This leader will own how advertisers understand, evaluate, adopt, and grow with OpenAI’s advertising solutions. This is a highly strategic and hands-on leadership role where you will shape the narratives that position OpenAI as a premium advertising platform for the world’s marketers while building the content, thought leadership, events, and demand programs that drive pipeline and long-term strategic growth. You will partner closely with Sales, Partnerships, Product, Finance, Legal, Communications, Research, and Data Science to help establish OpenAI as a trusted leader in the future of AI-powered advertising. This role is ideally based in San Francisco, CA, with a hybrid schedule of three days per week in the office. In This Role, You Will: - Define the end-to-end enterprise advertiser marketing strategy across awareness, consideration, pipeline creation, adoption, expansion, and long-term growth. - Develop OpenAI’s enterprise advertising narratives, positioning, and messaging architecture across AI-powered marketing, creativity, measurement, and consumer engagement. - Build compelling brand positioning that establishes OpenAI as a trusted, differentiated platform for enterprise advertisers and agencies. - Lead category thought leadership programs and content strategy that position OpenAI as a leading voice on the future of advertising, AI, creativity, and measurement. - Create executive storytelling frameworks and high-impact communications for senior client engagements, keynote presentations, media moments, and industry conversations. - Develop strategic sales enablement programs, positioning, and materials that help commercial teams articulate differentiated value across industries, customer segments, and buying audiences. - Lead the development of flagship customer stories, case studies, and proof points that demonstrate measurable business outcomes and advertiser success. - Build integrated demand generation and account-based marketing programs targeting priority accounts and industries through owned media, partner channels, executive engagement, and industry activations. - Define industry-specific narratives and go-to-market strategies across key verticals including CPG, Retail, Automotive, Financial Services, Technology, Entertainment, Telecom, and Travel. - Own OpenAI’s presence and narrative strategy at major industry events including Cannes Lions, CES, Advertising Week, Possible, and DMEXCO. - Partner closely with Product Marketing and Product teams to translate roadmap innovations into market-ready launches, customer education, and enterprise sales motions. - Establish measurement frameworks to track brand perception, executive engagement, pipeline contribution, influenced revenue, content performance, and market momentum, while building and leading a high-performing team over time. You Might Thrive in This Role If You: - Have 12+ years of experience in B2B marketing, enterprise marketing, ad sales marketing, product marketing, brand strategy, or strategic go-to-market leadership. - Have built or led enterprise advertising marketing programs at a scaled digital media platforms. - Deeply understand how enterprise advertisers and agencies make buying decisions, including procurement cycles, executive stakeholders, measurement requirements, and long-term partnerships. - Have significant experience developing executive narratives, thought leadership platforms, and enterprise positioning strategies that influence senior marketers and industry decision-makers. - Have experience building sophisticated content marketing ecosystems that support both brand leadership and pipeline generation. - Have led world-class tent-pole event strategies and know how to convert marquee moments into measurable brand and commercial impact. - Have built high-quality sales enablement ecosystems that help commercial teams win complex deals. - Are fluent in advertising concepts including brand building, performance media, measurement, attribution, audience strategy, creative effectiveness, and media planning. - Are highly analytical and comfortable connecting marketing investments to pipeline and revenue outcomes. - Can translate complex technology into clear, credible narratives for CMOs, agency leaders, media executives, and enterprise buyers. - Thrive in ambiguous, fast-moving environments where you are building new functions from scratch. - Are an excellent people leader who can attract top talent and raise the quality bar quickly. 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.
Data Scientist, Infrastructure
About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale. About the Role As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company. You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling. - Develop forecasting and optimization models to support infra planning and resource allocation. - Partner with engineering, research, and product teams to shape infrastructure strategy through data. - Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI. You might thrive in this role if you have: - 5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org - Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up - A strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisions - Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders - A strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs You could be an especially great fit if you have: - Proven track record of operating as a data partner in large scale backend systems - Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact - Strong programming background, with ability to run simulations and prototype variants - Experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Executive - LATAM
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive in Spanish Latam who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 3–5 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in
Software Engineer, Ad Formats
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience. About the Role We’re looking for an experienced Software Engineer to help build the creative rendering and presentation layer of OpenAI’s ads ecosystem. This is a foundational role responsible for defining how ads are structured, rendered, and delivered across different surfaces, platforms, and media types. You’ll work across the full technical stack to build infrastructure and tooling for new ad formats, including text, image, video, native, conversational, and interactive experiences. You will help ensure these formats render reliably, perform efficiently, and feel natural within the core ChatGPT experience. You’ll collaborate deeply with Product, Design, and Research to create ads experiences that are useful, high-quality, privacy-preserving, and aligned with OpenAI’s standards for safety and user trust. In this role, you will: - Design, build, and scale the creative rendering and presentation systems that power OpenAI’s ads experiences. - Develop infrastructure and tooling for ad formats across text, image, video, native, conversational, and interactive surfaces. - Define how ads are structured, rendered, validated, and delivered across ChatGPT and other OpenAI product experiences. - Build systems that ensure ads render reliably, perform efficiently, and meet high quality standards across platforms. - Partner closely with Product, Design, and Research to prototype and ship ad experiences that feel native to the core ChatGPT experience. - Architect distributed systems and services with strong reliability, usability, privacy, and performance guarantees. - Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment. - Contribute to technical strategy, propose new directions, and help shape the roadmap for OpenAI’s ads formats platform. - Maintain high engineering rigor through strong testing, documentation, observability, and operational best practices. - Uphold the highest levels of safety, privacy, fairness, and policy compliance across all ad rendering and delivery systems. You might thrive in this role if you: - Have 7+ years of experience building high-scale consumer product experiences, creative systems, ads systems, or platform infrastructure. - Have a track record of architecting and delivering complex systems that power user-facing experiences across multiple surfaces. - Care deeply about product quality, performance, reliability, and the details of how experiences render for users. - Are comfortable working at the intersection of frontend systems, backend infrastructure, design, and product strategy. - Bring strong product intuition and enjoy collaborating deeply with Product, Design, and Research. - Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch. - Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability. - Are motivated by building privacy-preserving, safe, and user-first monetization systems. - Bonus: Have experience with ads formats, creative rendering systems, content delivery, design systems, media platforms, or interactive product experiences. Location This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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 Machine Learning Engineer, Growth
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge. Responsibilities: Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features Define and own the technical roadmap for ML within your product area and align with company-wide priorities Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data Communicate effectively to audiences of various technical and non-technical backgrounds What We're Looking For: Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Software leadership skills: A track record of leading projec
Research Product Manager, Model Behaviors
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 Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals—work that directly influences how millions of people experience AI. You will systematically identify high-priority behavioral improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models. The ideal candidate combines deep user empathy with the judgment to navigate nuanced behavior questions where there are no clear right answers. Responsibilities - Define behavioral defaults and steerability constraints - Develop and maintain taxonomies of model behaviors across capabilities - Identify, triage, and prioritize behavior issues and opportunities, coordinating input from Users, Research, Product, and Safeguards teams - Amplify alignment research breakthroughs, translating them into product, process, and model improvements - Deeply understand user interaction patterns to identify behavior improvements that make Claude more helpful and safe - Contribute to evals that measure alignment progress - Identify and scale initiatives and tools that help researchers ship alignment improvements faster Minimum Qualifications - Have a deep passion and curiosity for AI and LLMs. Use AI regularly. - Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions - Have a track record of delivering products and features to end-users (consumer or end-user b2b focus) - Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities - Have strong judgment and model taste, with the ability to make tradeoffs when there is no clear right answer - Have a strong grasp of ML concepts and are willing to go deep on technical solutions - Have intellectual curiosity without ego—comfortable asking questions and learning independently - Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks - Have a creative, hacker spirit and love solving puzzles Preferred Qualifications - Have 5+ years in product management leading scaled conversational AI products. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD </div>
Senior Staff Software Developer, Developer Product...
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company. We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling. We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality. You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software. This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Technical Leadership & Architecture - Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience - Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development - Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms - Leveraging AI to power the next generation development workflow Developer Experience & Productivity - Identify and eliminate friction across the software development lifecycle - Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments - Drive improvements in build systems, test automation, and deployment workflows&l
Senior Generative AI Designer / Artist
Scopely is looking for a Senior Generative AI Designer / Artist to join our Marketing team Flamed in Barcelona Office on a Hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We are the in-house creative agency Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games' marketing needs worldwide. What You Will Do This role requires someone comfortable working at a fast production pace, combining AI-assisted workflows, strong layout skills, polished image execution, and medium-level video editing capabilities. You will join our Arts & Animation Pod in Barcelona to create high-quality creative assets for some of the top mobile games in the world, including UA ads, ASO/store assets, social media content, key visuals, video templates, storyboards, and performance-driven iterations. - Produce high-quality static and video marketing assets from briefs, benchmarks, and creative direction. - Create polished graphic layouts, templates, key visuals, store assets, SoMe posts, and UA creatives. - Develop video templates, key frames, simple edits, storyboards, and performance variations for short-form marketing content. - Use AI tools as part of the creative process, refining outputs through prompt iteration, compositing, paintovers, retouching, and final polish. - Work mainly with Photoshop, and use Premiere and After Effects for editing, timing, keyframes, and template adaptation. - Collaborate with the Lead Artist, Art Director, and wider creative teams to ensure assets align with brand guidelines, art direction, storytelling, and production standards. - Participate in brainstorms and creative exploration, including occasional support on video hooks and new visual concepts. - Deliver fast, high-quality iterations based on feedback, KPIs, and creative performance data. What We’re Looking For - 5+ years of experience in marketing art, production art, visual design, or creative asset production, ideally in gaming, entertainment, or mobile-first content. - Familiarity with AI art pipelines, prompt writing, and image refinement tools. - Strong portfolio showing both static and video work, ideally from brief, sketch, storyboard, or concept through to final execution. - Excellent Adobe Photoshop skills, especially in layout, compositing, retouching, and final image polish. - Medium-level skills in Premiere and After Effects for editing, adapting templates, timing, keyframes, and producing polished marketing videos. - Strong graphic design fundamentals: layout, typography, composition, color, hierarchy, lighting, and visual balance. - Good understanding of UA, ASO, and social media creative formats. - Strong design taste, attention to craft, and ability to deliver polished assets under fast-paced timelines. - Ability to create sketches, storyboards, key frames, and rough layouts to develop ideas before final production. - Good understanding of art direction and visual storytelling. - Fluent English communication skills,
Senior Platform Engineer, Ingestion
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE THIS ROLE SITS AT THE CORE OF LANGSMITH: YOU'LL OWN THE INGESTION SYSTEMS, QUERY SYSTEMS, AND THE API, SDK, AND CLI SURFACES THAT THOUSANDS OF DEVELOPMENT TEAMS USE EVERY DAY. YOU'LL WORK AT THE INTERSECTION OF DISTRIBUTED SYSTEMS AND DEVELOPER EXPERIENCE, ON INFRASTRUCTURE THAT TEAMS ACROSS THE INDUSTRY DEPEND ON. WHAT YOU'LL DO: - Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB https://www.langchain.com/blog/introducing-smithdb, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient. - Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams. - Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic - Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges - Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention HOW TO BE SUCCESSFUL IN THIS ROLE: Many of these will apply to you — we don't expect every box checked. - Platform engineering: hands-on experience designing and running data-intensive systems at scale - Developer experience: a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using - Database expertise: production experience with OSS datastores (PostgreSQL, Redis) - Backend languages: Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript. - Infrastructure expertise: solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS) - Observability mastery: hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar) - Operational mindset and high agency: "you build it, you run it, you own it," with a focus on sustainable pract
Member of Technical Staff - ML Training Systems
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 are looking for strong engineers with experience training production machine learning models. If you are interested in contributing to open-source projects and evolving Modal's infrastructure to train the next generation of language models, we'd love to hear from you! REQUIREMENTS: - 5+ years of experience writing high-quality, high-performance code. - Experience working with torch and high-level training frameworks (Huggingface, verl, slime) - Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks, overlapping communications with compute, rewriting a trainer to handle off-policy rollouts, etc.) - Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc). - Ability to work in-person, in our NYC or San Francisco office. - Ability to participate in on-call rotation and respond to production incidents.
Senior Machine Learning Engineer (Match Group AI)
-Legal Entity: Hyperconnect -Brand: Match Group AI Match Group AI 소개 Match Group AI는 온라인 데이팅의 핵심 문제를 AI로 해결하는 중앙 기술 조직입니다. 프로필, 매칭, Trust & Safety 등 사용자 경험의 핵심 영역에 집중해 과제를 발굴합니다. 이를 최신 AI 기술과 데이터 기반의 접근을 통해 해결하여 사용자 경험을 혁신합니다. 나아가 Tinder, Hinge 등 Match Group 내 글로벌 데이팅 브랜드와의 협업을 바탕으로 그룹 공통 기술 기반을 확장합니다. 팀에서 진행 중인 프로젝트를 더 자세히 알고 싶으시다면, 다음 게시글을 확인해보세요. 👉 "Match Group AI 팀을 소개합니다." Match Group AI ML Team 소개 ML Team은 Match Group의 다양한 서비스에 AI/ML 기술을 적용하는 ML Engineer로 구성된 팀입니다. 팀의 업무는 실제 제품이 만들어지고 운영되는 과정에서 발생하는 문제를 발굴하고 정의하는 것에서 시작됩니다. 문제 해결에 가장 적합한 SotA(State-of-the-Art) 모델을 개발하거나 재현하고, 완성된 모델을 모바일과 서버 환경에 안정적이고 효율적으로 배포합니다. 이후에도 지속적인 모니터링과 개선을 통해 서비스의 AI Flywheel을 구축해 나갑니다. 이 과정에서 백엔드/프론트엔드/DevOps 엔지니어, 데이터 분석가, PM 등 다양한 전문 조직과 긴밀히 협업하며 실제 사용자에게 임팩트를 주는 AI 경험을 만들어갑니다. 일하는 모습에 대한 조금 더 자세한 이야기는 다음의 내용을 참고하시면 좋습니다. - [How AI Lab Works] Head of AI - Shurain 인터뷰 - AI in Social Discovery(Blending Research and Production) 업무 성과 중 일부는 논문 또는 오픈소스 코드로 외부에 공개하기도 합니다. 제품에 사용하기 위한 목적으로 ML 모델을 만들다 보면, 기존 연구로는 부족한 경우가 많습니다. 부족한 부분을 채우기 위해 진행된 연구의 결과물을 프로젝트 참여자들이 모두 함께 협업하여 연구의 의미 있는 부분을 정돈하고, 가능하다면 코드와 함께 공개합니다. 그 결과, 지금까지 아래 성과를 포함해 약 20여 건의 대외적 연구 성과를 거둘 수 있었습니다. - 2024년 CUPID: 1:1 소셜 디스커버리 플랫폼을 위한 실시간 세션 기반 상호 추천 시스템 ICDM Workshop 발표 - 2023년 TiDAL: 효율적인 학습 과정의 모델 행동에 기반한 액티브 러닝 기법 ICCV 2023 게재 - 2023년 모더레이션 환경에서 여러 분류 기준을 동시에 만족하기 위한 문턱값을 잡는 연구 WSDM 2023 게재 - 2022년 대화 생성에서의 의미적 다양성을 높이는 연구 EMNLP 2022 게재 - 2022년 레이블 노이즈가 심한 환경에서 효과적으로 학습하는 방법 ECCV 2022 게재 - 2022년 타깃 캐릭터의 몇가지 발화만을 이용하여 타깃 캐릭터를 모방하는 챗봇연구 NAACL 2022 게재 - 2022년 대화 생성 모델에서 예시를 활용하여 성능을 높이는 연구 ACL 2022 Workshop 발표 - 2022년 모바일 환경에서 오디오 분류를 위한 distillation 기술 연구 ICASSP 게재 ML 연구가 잘 진행되기 위해서는 딥러닝 학습을 위한 인프라도 잘 갖추어져야합니다. ML engineer들이 충분히 모델 개발 및 실험을 진행할 수 있도록 자체 딥러닝 클러스터(총 160대 A100 GPU, 40대 H100 GPU)를 보유하고 있습니다. 추가적으로, 데이터 수집, 전처리를 포함한 자체적인 데이터 파이프라인을 클라우드 서비스를 활용하여 구축 및 운영하고 있습니다. 또, ML 모델의 제품화를 도와주실 다양한 software engineer(백엔드/프론트엔드/DevOps/MLSE)분들과 함께 일하고 있습니다. 담당 업무 Match Group AI의 ML Engineer는 최신 AI/ML 기술을 연구하고 적용하는 과학자이자, 실제 서비스 환경에 맞게 모델 및 시스템을 설계하고 최적화하는 엔지니어입니다. 조직에서는 다음과 같은 다양한 업무들을 담당하고 있으며, 이들 중 적어도 한 가지 업무에 대해서 능숙하게 수행하실 수 있는 분을 찾고 있습니다. - Match Group에서 서비스 중인 제품들에서 발생하는 다양한 비즈니스 문제를 해결합니다. 비즈니스 문제의 배경, 목표, 제약사항 등을 파악하여 올바른 AI/ML 문제로 재정의하고, 이를 해결하기 위한 최선의 방법론을 찾아 문제를 해결하는 과정을 수행합니다. - Match Group의 새로운 제품 및 기능 개발에 참여합니다. 아이디어 구상부터 프로토타이핑, 실제 사용자에게 도달하기까지의 과정에서 AI/ML 기술들을 활용하여 제품 및 기능을 빠르고 올바르게 구현하는 과정을 수행합니다. - 대규모 언어 모델(large language models) 및 멀티모달 모델(multimodal models) 선행연구 및 개발을 담당합니다. Match Group의 데이터와 최신 기술들을 활용하여 데이팅 도메인에 특화된 모델을 만들고, 제품의 다양한 영역에 적용시킬 수 있는 방법을 찾아가는 과정을 수행합니다. 위 업무들을 수행하기 위해 Sr. ML Engineer에게는 탄탄한 AI/ML 기초 지식과 빠른 최신 기술 습득을 기반으로 팀의 기술적 의사결정을 이끌어 갈 수 있는 역량을 기대합니다. 이러한 역량을 기반으로 주로 다음과 같은 기술적인 주제들을 주도하게 됩니다. - 텍스트, 이미지, 이벤트 로그 등을 포함하여 다양한 modality를 가진 데이터를 올바르게 다루는 방법 및 수집된 데이터의 편향 및 노이즈를 올바르게 해소하는 방법 - 제품의 목표와 정렬된 평가 지표 정의 및 목표 달성을 위한 최적의 모델 학습 방법 - 엔지니어링 제약사항 및 인프라 환경을 고려한 온디바이스 및 대규모 모델 추론 최적화 방법 Requirements AI/ML 도메인 전반에 대한 이해와 적어도 한 개 이상의 특정 도메인에 대한 깊이 있는 지식을 갖추고, 관련 분야 박사 학위 혹은 5년 이상 의 산업 프로젝트 경험, 혹은 그에 준하는 역량을 보유하고 계신 분 모호한 비즈니스 혹은 기술적인 문제가 주어졌을 때 이를 올바른 AI/ML 문제로 정의하고, 합리적인 기술적 의사결정을 바탕으로 문제를 해결하실 수 있는 분 PyTorch, Tensorflow, JAX 등의 오픈소스 프레임워크 및 전반적인 파이썬 개발을 빠르게 수행하고, 협업 및 유지보수를 위해 높은 품질의 코드를 관리하실 수 있는 분 안정성있는 ML 학습 파이프라인 및 배포 프로세스를 설계하실 수 있는 분 끊임없이 새로운 기술을 탐구하고 공유하며 팀이 높은 수준의 AI/ML 기술적 경쟁력을 갖추고 유지하도록 도와주실 수 있는 분 두 명 이상의 ML Engineer가 참여하는 AI 프로젝트에서 기술적인 의사결정을 이끌어갈 수 있으신 분 여러 직군의 이해관계자와 협업할 수 있는 뛰어난 커뮤니케이션 능력을 갖추신 분 한국어로 원활한 의사소통이 가능하고, 영어로 기본적인 의사소통이 가능하신 분 Preferred Qualifications AI/ML 관련 탑티어 학회 및 저널(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD, …) 게재 실적 혹은 관련 대회 수상 실적이 있으신 분 LLM 혹은 비슷한 규모의 모델을 대규모로 학습할 때 필요한 전체 과정을 이끌며 성과를 만들어낸 경험이 있으신 분 대규모 소프트웨어 개발 경험 및 아키텍쳐/시스템 디자인에 필요한 엔지니어링 역량을 갖추고 계신 분 A/B 테스트 실험 기획 및 타겟 KPI 지표를 올바르게 정의하고, SQL기반 데이터 분석을 전문성 있게 수행하실 수 있으신 분 인과관계 분석 및 기타 통계 기법을 사용하여 데이터에서 의미 있는 통찰력을 발굴하고 의사결정에 올바르게 적용하실 수 있는 분 엔지니어링 팀을 리드해본 경험이 있으신 분 PO/PM 혹은 그에 준하는 경험이 있으신 분 영어로 실시간 비즈니스 의사소통을 능숙하게 수행하실 수 있는 분 Hiring Process 고용 형태: 정규직 채용 절차: 서
Director of Product Management, AI Generation Engi...
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. ABOUT THE TEAM The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our top priority use case for 2026 is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries. THE OPPORTUNITY As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will: - Own the product strategy and execution for our efforts in Finance & Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes. - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases. - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products. This role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up. KEY RESPONSIBILITIES LEAD PRODUCT STRATEGY IN FINANCE & RISK MODELING - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows). - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks). - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs. - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value. DRIVE RAPID PROTOTYPING AND 0→1 INNOVATION - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities. - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on
Applied AI Engineer, Cyber, Government
About the team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive projects into production. In this role within the Government team, you will empower agencies to evolve their operations through automated content synthesis, advanced search capabilities, and bespoke applications leveraging our latest foundational technologies and models. About the Role We are looking for a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, threat hunting, and similar fields , ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products. This role requires frequent on-site engagement at customer and partner facilities across the DMV area, including classified environments. In this role, you will: - Work on-site with our clients in the DMV area - Own hands-on implementation for government cyber use cases, working alongside account-aligned technical owners, customer engineers, cyber operators, and security practitioners. - Lead technical discovery to identify high-value AI applications across authorized red teaming, adversary emulation, vulnerability research, reverse engineering, threat hunting, detection engineering, incident response, malware analysis, and similar domains. - Build secure cyber prototypes, agentic workflows, and reference architectures using OpenAI models, supported APIs, Codex, and integrations with customers’ security tools and infrastructure. - Design and run evaluations that measure technical correctness, security impact, reliability, and operator effectiveness, and use the results to guide implementation and deployment decisions. - Partner with government security leaders, mission teams, account owners, integrators, and OpenAI Security and Product teams to establish success criteria, deliver measurable outcomes, and complete clear operational handoffs. - Contribute reusable code, examples, and technical guidance to our open-source developer and enterprise resources. - Scale the Applied AI Engineering function by sharing knowledge, codifying best practices, and publishing notebooks and implementation patterns to internal and external repositories. - Translate customer deployments, operational insights, and evaluation results into actionable feedback for Product, Engineering, and Research teams. You’ll thrive in this role if you: - Hold an active TS/SCI clearance and a current, active full-scope polygraph. - Bring 7+ years of hands-on technical experience in cybersecurity, cyber operations, or security-focused software engineering, including work directly with government customers or national security mission teams. - Have practical experience across offensive and defensive cybersecurity, with depth in areas such as red teaming, adversary emulation, vulnerability research, reverse engineering, threat hunting, or detection engineering. Experience supporting NSA or comparable national security cyber missions is strongly preferred. - Have personally written code, integrated security tools, and built, tested, and deployed cyber capabilities or security automation with measurable technical and mission outcomes. - Understand secure network and cloud architecture, identity and least privilege, restricted operating environments, application-security toolchains, authorization boundaries, and human-approved remediation. - Have hands-on programming experience with languages such as Python, JavaScript/TypeScript, or Go, and can integrate APIs, agents, command-line tools, and security platforms into reliable workflows. Relevant toolchains may include GitHub, CodeQL, Snyk, Semgrep, SARIF, Jira, and CI/CD systems. - Communicate clearly with cyber practitioners, engineers, senior leaders, and nontechnical stakeholders, translating complex technical findings into decisions and next steps. - Own problems end to end and learn unfamiliar tools, systems, or mission requirements as needed to deliver. - Approach collaboration with humility, share knowledge generously, and help colleagues and customers succeed. - Drive multiple concurrent projects with urgency, sound judgment, and clear prioritization while maintaining a high standard of technical execution. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Machine Learning Scientist
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE AND ANALYTICS The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. In Data Science & Analytics, you will contribute to horizontal ML systems and infrastructure that enable us to understand the trajectory of users and creators as well as the overall business to inform investment opportunities and accelerate our growth. These systems inform experiment decision making, product roadmaps, and execution risk on our road to connecting one billion users. You Will: - Develop, build, and support large scale forecasting systems for business growth - Develop, build, and support modeling of long-term user outcomes - Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty - Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health - Model and promote a high bar for technical excellence in the broader data science and ML community. - Communicate strategic findings to influence company and team-level roadmaps - Partner with Data Engineering and Data Platform teams to ensure model development, reporting, and monitoring systems are built in a reliable and robust way. You Have: - 5+ years of industry experience in prototyping and building scalable machine learning solutions. - Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers - Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks. - Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages.
Senior Backend Engineer, LangSmith Deployments
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production. ABOUT THE ROLE We're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments. WHAT YOU'LL DO We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred. - Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure - Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution - Collaborate on architectural decisions, ensuring solutions are scalable and robust. - Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state - Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy - Participate in on-call rotations and own incident response for the runtime - Create and maintain technical documentation, including system design and operational runbooks. - Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications WHAT YOU'LL BRING - 4+ years of professional backend engineering experience - Strong proficiency in Go and/or python - Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration - Experience with scaling and sharding databases in high throughput environments - Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform - Strong communication skills and ability to work cross-functionally on a small team - Annual salary range: $175,000-$240,00 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on
Software Engineer - AI Developer Workflows
We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents. We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog - Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions - Prototype and see what works well in the real world, iterate closely with our users, and then ship - Follow the latest research on LLM prompt optimization, agents, and code editing. - Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of “one click to reproduce” for production errors. Who You Are: - You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production - You are passionate about Generative AI and its ability to help software engineers be more productive - You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields - You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution - You want to work in a fast, high-growth startup environment that respects its engineers and customers - You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc). - You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based
Senior+ Software Engineer, Research Tools
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 research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities - Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results - Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions - Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient - Create reusable platforms and tools that accelerate the development of new research applications - Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage - Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration - Contribute to technical strategy and architectural decisions for research tooling - Mentor other engineers and help establish best practices for research application development You may be a good fit if you - Have 5+ years of software engineering experience with a strong focus on full-stack development - Excel at rapid iteration and shipping—you can move from concept to working prototype quickly - Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) - Demonstrate high agency and ability to operate independently in ambiguous environments - Can quickly develop deep understanding of complex technical domains -
Account Director, Public Sector - Tokyo
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo, Japan. 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'll: - Manage ~dozen key accounts, developing and executing strategies for a comprehensive account plan. - Lead our enterprise prospects’ journeys from consideration to succesfull deployment. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service. - Achieving revenue targets >$1M per year for more than 3 years. - Designing and executing complex deal strategies. - Supporting the growth of fast-growing, high-performance companies. - Working directly with c-level executives. - Communicating technical concepts to customers and internal stakeholders. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Are proficient in both Japanese and English. This is essential to effectively perform key responsibilities such as partnering with customers, driving the sales cycle, managing accounts, collaborating with cross-functional teams, and communicating with headquarters. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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.
Strategic Finance, Partnerships
About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management. The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: - Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations. - Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics. - Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes. - Lead partnership deal pricing and structuring from early-stage strategy through final term-sheet negotiations, including executive-ready recommendations and tradeoffs. - Drive partnership portfolio performance management: establish core metrics, identify leading indicators, track variance to expectations, and surface risks and opportunities. - Integrate partnership economics into revenue forecasting and planning cycles in partnership with the broader team. - Identify recurring contract and measurement risks and establish internal governance and review mechanisms. You might thrive in this role if you have: - 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company. - A strong ability to critically evaluate opportunities and risks in financials. - Expert modeling skills, including building detailed product P&Ls and operating models. - The ability to distill complex financial data into actionable insights and effectively communicate with leadership. - Excellent communication skills and the ability to craft compelling narratives using data. - Attention to detail and a commitment to accuracy in financial reporting and analysis. - Comfort operating in a player-coach capacity—providing mentorship and direction while remaining deeply involved in analytical work. - Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis. - Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes. - Enthusiasm for technology and artificial intelligence. - Experience with SQL or a willingness to learn. This is a unique opportunity to influence the financial trajectory of cutting-edge AI products while working at the intersection of strategy, finance, and technology. If you’re passionate about driving growth and optimizing product performance, we’d love to hear from you! About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff+ Software Engineer, Identity & Access Contro...
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 Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Identity & Access Controls team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Key responsibilities - Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are - Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases - Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs - Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it - Detect and remediate account takeover - Integrate with third-party identity verification and data enrichment vendors - Create monitoring dashboards, alerts, and internal admin tooling - Work closely with policy, enforcement, threat intelligence, and go-to-market teams to ensure access decisions are well-informed and consistently applied Minimum qualifications - A Bachelor's degree in Computer Science, Software Engineering, or comparable experience - Experience building and operating backend systems in production - Proficiency in Python and SQL - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications - 8+ years of industry software engineering experience (not including internships and co-ops) - Experience with identity, authentication, or authorization systems at scale - Experience with KYC/KYB workflows or identity verification vendors - Experience in trust and safety, integrity, fraud, or abuse detection - Experience detecting and responding to account takeover or credential compromise - Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. <div class="
Software Engineer, Ads Manager
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, Research, and external customers to bring new monetization products into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build Ads Manager, the UI platform advertisers use to create, manage, measure, and optimize ad campaigns across OpenAI’s ads ecosystem. This is a foundational role responsible for designing and implementing advertiser-facing products, APIs, tools, and services that connect external customers to OpenAI’s next-generation monetization products. You’ll work across the full technical stack to build intuitive self-serve workflows for small and mid-sized advertisers, as well as scalable APIs and integrations for large enterprise advertisers, agencies, and ad-tech partners who manage campaigns through their own buying platforms or intermediary systems. This includes building advertiser-facing APIs and tooling for campaign management, conversion APIs, pixels, measurement, and insights. You will collaborate deeply with Product, Design, Research, and Go-To-Market teams to define the future of advertiser experiences while ensuring these systems meet OpenAI’s highest standards for safety, privacy, reliability, and policy alignment. In this role, you will: - Design, build, and scale Ads Manager, the core UI platform for advertisers to create, manage, measure, and optimize campaigns. - Develop advertiser-facing APIs and tools that enable programmatic campaign creation, management, targeting, delivery, measurement, and optimization. - Build conversion APIs, pixels, insights, and measurement tooling that help advertisers understand and improve campaign performance. - Create self-serve workflows that help small and mid-sized advertisers launch and optimize campaigns with clarity and confidence. - Build enterprise-grade integrations for large advertisers, agencies, and external ad-tech platforms that manage and serve campaigns at scale. - Architect distributed systems and services with strong reliability, usability, privacy, and performance guarantees. - Partner closely with Product, Design, Research, and Go-To-Market teams to translate advertiser needs into high-quality technical solutions. - Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment. - Contribute to technical strategy, propose new directions, and help shape the roadmap for OpenAI’s advertiser platform. - Maintain high engineering rigor through strong testing, documentation, observability, and operational best practices. - Uphold the highest levels of safety, privacy, fairness, and policy compliance across all advertiser-facing systems. You might thrive in this role if you: - Have 7+ years of experience building high-scale consumer, enterprise, marketplace, or ads-related systems. - Have a track record of architecting and delivering complex distributed systems, APIs, or advertiser-facing platforms. - Have experience building in Python / FastAPI and TypeScript / React. - Are excited by building both intuitive UI workflows and robust backend systems for external customers. - Have strong product intuition and enjoy translating advertiser needs into clear, reliable, and scalable product experiences. - Are comfortable navigating ambiguous product spaces and contributing to technical roadmaps and long-term direction. - Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch. - Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability. - Are motivated by building privacy-preserving, safe, and user-first monetization systems. - Bonus: Have experience with ads managers, campaign management systems, advertiser APIs, conversion APIs, pixels, measurement systems, marketplaces, or enterprise ad-tech integrations. Location This role is exclusively based in our Seattle office. We offer relocation assistance to new employees. 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.
Data Scientist, Platform and B2B Products
About the Team OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. About the Role As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth - Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models - Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) - Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams - Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) You might thrive in this role if you have - 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) - Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments - Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) - Strong cross-functional communication with PMs, engineers, and executives - Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact You could be an especially great fit if you have - Background in developer platforms, observability, or usage-based pricing/quotas - Experience connecting offline evals to online product impact - Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Programmer (Combat, Physics, AI)
Senior Programmer (Combat, Physics, AI) at Finitude GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 11.07.2026.
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