Hr Manager in United States

About the Team The ChatGPT Library team is building the place where people can save, organize, rediscover, and build on the content they create with ChatGPT. Our goal is to make ChatGPT more useful over time by helping users seamlessly return to important files, images, conversations, and other content across their devices. The team works at the intersection of product engineering, design, and AI research to create intuitive, personalized experiences that make users’ content easy to find and act on. On Android, we are focused on delivering fast, reliable, and deeply native experiences that put a user’s evolving body of work at their fingertips. About the Role We are looking for a senior Android engineer to help build the future of ChatGPT Library on mobile. You will own high-impact product experiences across the Android stack, shaping how millions of people save, organize, discover, and interact with their content in ChatGPT. In this role, you will: Build and ship new Android experiences that help users easily access, organize, and build on the content they create with ChatGPT. Own features end to end—from early product exploration and technical design through implementation, experimentation, launch, and iteration. Develop scalable, maintainable foundations that allow Libraries experiences to evolve quickly as new AI capabilities emerge. Improve the architecture, performance, reliability, and responsiveness of content-rich experiences across a wide range of Android devices. Thoughtfully integrate Android platform capabilities to create experiences that feel intuitive and native to mobile. Partner closely with product, design, research, data science, and engineering teams to translate emerging AI capabilities into useful, polished products. Help establish technical direction and raise the quality bar for Android development across the team. How We Work We care deeply about building products that are intuitive, useful, and trustworthy. We move quickly from ideas to wo

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. Work with machine learning engineers to implement reinforcement learning models. Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. Help inform the mechanical and electrical design to maximize capability and flexibility. Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot

About the Role As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback. This is a highly cross-functional, externally facing leadership role for someone who combines deep technical expertise with strong business acumen and customer empathy. In this role, you will: Customer & Deal Strategy Partner with Sales, Product and Technical Success teams to support complex, high-value deals as a technical and strategic advisor. Translate customer business needs into scalable technical solutions and architectures. Engage with senior customer stakeholders (CTO/CIO/VP-level) to drive alignment on vision, roadmap, and adoption. Lead technical strategy discussions during key deal stages, including discovery, solution design, and executive presentations. Architecture & Implementation Guidance Guide customers on best practices for deploying and scaling AI-driven solutions in production. Provide architectural oversight across use cases such as LLM applications, integrations, data pipelines, and security. Act as a trusted advisor to ensure long-term success, not just short-term wins. Product & Feedback Loop Bring structured customer insights back to Product and Engineering teams to inform roadmap and prioritization. Identify gaps, opportunities, and emerging patterns from customer deployments. Influence product direction based on real-world usage, scalability needs, and enterprise requirements. GTM Strategy & Thought Leadership Help shape GTM strategies by identifying repeatable patterns across industries and customer segments. Develop scalable frameworks, reference architectures, and playbooks for broader field teams. Represent the company externally through customer en

About the Team: We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to identify, structure, and scale partnerships that expand how businesses adopt and benefit from OpenAI. You will work across priority sectors, including legal, professional services, information services, and other B2B categories, while maintaining the flexibility to pursue the highest-impact opportunities as the market evolves. About the Role: You are a senior business development and partnerships leader with strong judgment, high ownership, and a track record of originating and closing complex partnerships. You can move from market strategy and executive engagement through deal development, launch, and growth. You combine strategic thinking, commercial discipline, and hands-on execution, and you can create clarity and momentum across multiple internal and external stakeholders. Key Responsibilities: Develop a portfolio strategy for high-impact B2B partnerships. Identify and prioritize partners based on customer reach, differentiated data or workflows, distribution, strategic value, and growth potential. Originate, structure, negotiate, and launch complex product and commercial partnerships. Build joint value propositions and business plans spanning integration, distribution, go-to-market, and customer adoption. Lead executive relationships and establish durable cross-functional partnership governance. Coordinate product, engineering, sales, marketing, legal, finance, security, policy, and operations to deliver partnership outcomes. Translate partner and market insight into product strategy and new partnership models. Track adoption, pipeline, revenue impact, strategic milestones, and partner performance, and communicate progress and risks clearly. Qualifications: 10+ years of experience in strategic partnerships, business development, enterprise technology, or platform ecosystems. Proven experience personally originatin

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 driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams. This role is based in Washington, DC. We offer relocation support to new employees. In this role, you will: Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI foundational technologies like Codex. Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strate

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. Present executive-ready advance, defer, or stop recommendations with clear

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power Execution team owns the strategy and execution required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. The team sits at the intersection of commercial, technical, policy, legal, and operational work, partnering across OpenAI and with utilities, grid operators, regulators, counterparties, and public-sector stakeholders. About the Role The Energy Regulatory Lead will own energy regulatory strategy and execution for OpenAI’s infrastructure growth. This role will be the primary bridge between the Power Execution team and Public Policy and Government Affairs on energy regulatory matters, ensuring that OpenAI’s external engagement is grounded in project realities and that changing policy and regulatory conditions are translated into actionable infrastructure decisions. This is an individual contributor lead role and does not have direct reports initially. The role combines portfolio-level regulatory positioning with transactional regulatory work: evaluating jurisdictional pathways, supporting utility and energy transactions, coordinating approvals and filings, and helping project teams navigate tariffs, interconnection, load-service requirements, market rules, and regulatory risk from diligence through execution. In this role, you will: Develop and maintain OpenAI’s energy regulatory strategy across priority U.S. markets and, as needed, emerging geographies for infrastructure expansion. Coordinate closely with Public Policy and Government Affairs to shape energy regulatory priorities, engagement plans, messaging, and positions before utilities, public utility commissions, grid operators, state energy offices, and other relevant policymakers. Translate project requirements—load size, timing, reliability, cost, carbon, and expansion needs—into clear regulatory objectiv

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challen

About the Team Security is foundational to OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI’s technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI’s commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal and VMs dependable & scalable foundations for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Software Engineer, Host Assurance to build and operate the services, APIs, and host software that establish and maintain trust in our compute infrastructure. You will own production software from design and implementation through testing, rollout, observability, and operation. Your work will support capabilities such as machine identity, certificate issuance and enrollment, secure bootstrap, and host attestation across bare-metal and VM environments. Success in this role requires strong technical judgment, the ability to reason across software and host-system boundaries and learn unfamiliar parts of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI’s frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale - underpinning long-lived commitments around privacy, security, and reliability. You will partner closely with infrastructure, research, and confidential computing initiatives—inc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for an Executive Programs Lead, Americas to build and lead the portfolio through which OpenAI engages its most important customers and executives across the region. You will own the regional strategy, team, and quality bar for Executive Briefings and a broader portfolio of C-suite engagements, recurring executive forums, advisory programs, and proven formats ready to scale. Your mandate is to turn high-stakes customer moments into a durable business capability, one that consistently advances important relationships while preserving the judgment and customization that exceptional executive experiences require. This is a senior people-leadership role for a builder who can set direction, make disciplined portfolio choices, and create the systems and team required to deliver at scale. You will partner closely with Sales, Product Marketing, Product, Research, Solutions, Customer Success, Events, and OpenAI executives, moving comfortably between long-term design and the critical details of a live engagement. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. Travel across the Americas and occasional global travel are also expected. In this

About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. 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: Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: Have demonstrated strength in research engineering, ML en

About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight : Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful agent autonomy (for example future versions of auto-review ). About the Role This role focuses on oversight and system-level mitigations that enable increasingly capable agents to operate safely and autonomously in real environments. We prioritize building oversight systems that are used in practice today, both internally and externally (see our recent work on action monitoring for codex and former code review ). We also study longer-term questions about how increasingly capable agentis systems can be supervised, constrained, and corrected. We’re looking for a safety&security minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required. 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: Design, build, and evaluate system-level controls for agent actions like agent-based review. Plan how they fit in a broader syste

About the Team The Web team brings OpenAI’s brand, mission, and products to life online. We work across brand design, marketing, communications, and engineering to create clear, accessible web experiences for a global audience. This role is dedicated to Business Marketing, helping organizations understand how OpenAI’s products can support their work. We combine thoughtful storytelling, strong visual craft, and intuitive user experiences to make complex ideas approachable and useful. About the Role We’re looking for a hands-on Web Designer to create exceptional experiences for business audiences on OpenAI.com . You’ll help people understand our products, explore their relevance to their organizations, and find the right next step. As an individual contributor, you’ll own projects from early exploration through launch, working closely with engineers, brand designers, marketers, and writers. You’ll bring strong visual judgment and UX thinking to the work, balancing user needs, business goals, and technical constraints while contributing to a cohesive experience across the site. This role is based in New York, NY. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own design from concept through implementation, developing information architecture, user flows, wireframes, prototypes, and high-fidelity responsive designs. Translate complex product capabilities and business use cases into clear stories and compelling web experiences. Design product, solution, and campaign experiences that help business audiences discover, evaluate, and take action. Partner with engineers, brand designers, marketers, and writers to shape ideas, make thoughtful tradeoffs, and ship polished work. Evolve and apply our web design system, creating reusable patterns that support both consistency and expressive storytelling. Stay involved through implementation and design QA, paying close attention to accessibil