Product Operations Director in United States

About the Team OpenAI’s Governance team helps shape how the company responsibly develops and deploys increasingly capable AI. We bring together technical evidence, policy, and operational perspectives to help the company address emerging risks, resolve difficult questions, and make well-supported decisions. Our work includes shaping and improving governance practices, supporting effective oversight, developing clear assessments and recommendations, and ensuring that decisions lead to action. We work closely with research, safety, security, legal, and product teams to identify gaps, reconcile different views, and improve our approach as capabilities and circumstances change. About the Role We are looking for a curious, high-agency Research Program Manager who can reason from first principles, make sense of incomplete or conflicting information, and move difficult work forward. You will help shape the substance of governance reviews, connect ideas and evidence across teams, and develop recommendations that are both well-founded and practical. The work requires someone who can use established approaches where they fit, recognize when circumstances call for a different approach, and update their thinking as new evidence emerges. You should bring sound judgment, a willingness to experiment and learn, and the program-management discipline to turn good analysis into action. Depending on your experience and the team’s needs, your work may focus on safety advisory and board-level oversight, deployment governance, or standards and strategic partner commitments. In this role, you will: Bring together technical, policy, and operational inputs to develop coherent assessments, recommendations, and decision materials for governance bodies and senior leaders. Work through emerging or ambiguous questions, test assumptions, identify gaps or conflicting evidence, and help determine what additional analysis or decisions are needed. Engage critically with research, evaluations, safeguar

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel. You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve. RESPONSIBILITIES Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue. Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources. Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion. Understand our audiences: develop audience and segmentation frameworks based on customer a

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you’ll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. In this role you’ll evangelize Jamf by developing meaningful relationships with key stakeholders at accounts, bridge the gap to executives, and elevate Jamf mindshare to a strategic position within a specific territory. Your efforts will lead directly to the sales of our Whole Product Experience (WPE), development of pipeline growth, and territory sales. The Account Executive is an integral part of our inside’s sales organization working closely with our Sales Development Representatives and Sales Engineers to grow new business. As a member of the Jamf family, you will contribute to our high energy, collaborative, and fun environment. This is a hybrid position available to individuals residing in the Minneapolis, MN, Eau Claire, WI & Austin, TX metro areas. While the role is primarily hybrid, you may be asked to work occasionally from the Jamf office or a local collaborative workspace alongside other Jamf team members for key events or important in-person engagements. Please note that we are only able to consider applicants who are currently based in the Minneapolis, MN, Eau Claire, WI & Austin, TX metro areas. What you can expect to do in this role: The Jamf Account Executive will formulate and execute a sales strategy within an assigned territory to bring net new customers into Jamf Manage the en

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role This is a zero-to-one Product Engineering role on Replit's Money team. You'll bring our financial partnerships alive from scoping to integrating and operating them so that the builders on Replit, and the Apps and Agents they ship can transact reliably anywhere in the world. Money at Replit isn’t traditional payments. Builders are publishing apps that earn revenue. Agents are spending and being paid for work. New protocols for agentic commerce now exist to power the future of commerce: Shared Payment Tokens, the Agentic Commerce Protocol (ACP), the Universal Commerce Protocol (UCP), the Machine Payments Protocol (MPP). Replit is one of the platforms that will define what they look like in practice and lower the barrier to entry. To make any of that real, we need someone who can sit between Replit engineering and our financial partners including billing platforms, payment processors, agentic-commerce protocol partners, tax and compliance vendors to turn signed contracts into live, reliable integrations. You'll be the engineer partners ask for, and the engineer the rest of Replit relies on when a new monetization surface needs to ship. This role is a fit if you like writing code and you also like being in the room when a partnership is being scoped, because you know that the design decisions made in that room are the ones that bind the integration for years. You will Take financial partnerships from zero-to-one: scope the integration with the partner, pressure-test data and protocol specs, design the system, build it, ship it, and operate it. Own the technical relationship with Replit's financial partners across the full lifecycle: billing platforms, payment processors, agentic-commerce protocol partners, t

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. Roblox is building the future of human connection through play. As a Senior Growth Marketing Manager, you will play a critical role in scaling Roblox's global growth engine, helping millions of users discover, engage with, and return to Roblox. This role sits at the intersection of marketing, product, data science, and engineering. You will lead high-impact growth initiatives spanning user acquisition, lifecycle marketing, personalization, creator growth, and product-led growth. You will be responsible for identifying new growth opportunities, designing and executing experiments, influencing product strategy, and scaling programs that drive measurable business impact. This is a highly cross-functional role for someone who combines analytical rigor, strong growth instincts, operational excellence, and the ability to influence across teams. You will report to Sr Manager, Growth Marketing. You will: Own and Scale Growth Programs Lead end-to-end growth initiatives across user acquisition, reactivation, paid influencer, and product-led growth programs. Manage and optimize multimillion-dollar marketing investments across ad platforms including but not limited to Google, YouTube, Meta, TikTok, App

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. Roblox is building the future of human connection through play. As a Senior Growth Marketing Manager, you will play a critical role in scaling Roblox's global growth engine, helping millions of users discover, engage with, and return to Roblox. This role sits at the intersection of marketing, product, data science, and engineering. You will lead high-impact growth initiatives spanning user acquisition, lifecycle marketing, personalization, creator growth, and product-led growth. You will be responsible for identifying new growth opportunities, designing and executing experiments, influencing product strategy, and scaling programs that drive measurable business impact. This is a highly cross-functional role for someone who combines analytical rigor, strong growth instincts, operational excellence, and the ability to influence across teams. You will report to the Head of Growth Marketing. You will: Own and Scale Growth Programs Lead end-to-end growth initiatives across user acquisition, reactivation, paid influencer, and product-led growth programs. Manage and optimize multimillion-dollar marketing investments across ad platforms including but not limited to Google, YouTube, Meta, TikTo

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

We're looking for an Engineering Manager II to own and grow the Observability Pipelines engineering org at a pivotal moment in the product's lifecycle. Observability Pipelines is Datadog's on-premise, vendor-agnostic telemetry pipeline product, with a lot still to build as it grows and scales. It sits at the center of a fast-consolidating market, is central to Datadog's data pipeline optimization story for Logs and Metrics customers. This is a build-and-scale opportunity: you'll grow the management and technical leadership layers, co-own the roadmap with Product, and define how this org operates as it continues to expand. 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: Directly manage the OP org including EM1s across NYC and Paris, set technical direction, and be the connective tissue across a distributed team Build out the management and technical leadership layers as the org continues to grow - today ~20 ICs Partner directly with Product to co-own the roadmap and strategy, helping decide where OP’s engineering investment goes next Set and evolve the operating rhythm across the group: planning cadence, on-call and incident standards, and cross-team alignment Own key cross-org relationships with the SaaS Logs Pipelines team, the BYOC team, and the Vector open-source community Coach managers and senior engineers, and build the succession and growth plans that let the org scale beyond you Who You Are: Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate, not just delivering through them Back

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Secure Manufacturing & Stealth (SMS) team protects OpenAI’s most sensitive product, manufacturing, launch, and partnership work from theft, leakage, espionage, and unauthorized disclosure. We operate across physical, digital, human, and third-party domains, building practical protections that allow teams to move quickly while preserving strict need-to-know controls. About the Role We are seeking a senior Secure Manufacturing & Stealth Partner to serve as the dedicated SMS owner for Marketing. This person will build trusted relationships across Marketing, understand launches and sensitive information flows, identify secrecy risks early, and embed practical controls into planning, creative production, events, agencies, vendors, media, and executive communications. The role owns the Marketing relationship while coordinating shared SMS capabilities when investigative, prototype-handling, regional, or other specialist support is needed. In this role you will: Serve as the primary SMS Partner and trusted adviser to Marketing, building a deep understanding of its priorities, planning cycles, launches, events, external partners, and sensitive information flows. Identify secrecy and information-exposure risks early, then translate SMS requirements into practical controls that protect sensitive work without unnecessarily slowing execution. Build, document, and socialize durable operating mechanisms for compartmentalization, need-to-know access, agencies and vendors, sensitive creative production, events, demonstrations, launch preparation, codenames, watermarking, and password controls. Assess and approve Marketing systems and information workflows, identify gaps or duplication, establish secure handling requirements, and advise AI-native Marketing initiatives on permissions, data governance, and operational tracking. Coordinate

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach users with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning users reach value and build durable habits. In this role, you will: Partner with product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey stra

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodolo

About the Team The Corporate Development team sits at the intersection of OpenAI’s strategy and the global AI ecosystem. Partnering closely with research, engineering, product, GTM and business leaders, we analyze markets, technologies, and companies to identify opportunities that accelerate OpenAI’s mission and long-term strategy. Bringing together expertise in strategy, M&A, and integration, the team leads the end-to-end process of sourcing, evaluating, negotiating, and integrating acquisitions and other strategic transactions. About the Role This is a high-visibility, strategically critical, cross-functional role at the intersection of M&A execution, enterprise go-to-market, and operational excellence. You will lead the critical phase from diligence through integration planning and post-close follow-through, define repeatable integration playbooks, and partner directly with senior stakeholders to ensure each transaction delivers intended value. The ideal candidate brings structured, hands-on integration experience, with particular expertise in enterprise / B2B transactions and a passion for AI, including building an AI-native corp dev platform. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead integration planning and strategic execution for acquisitions from diligence through post-close follow-through, with clear owners, milestones, risks, and decision points. Translate deal rationale into practical integration goals and plans across product, engineering, sales, partnerships, customer success, people, finance, legal, security, systems, and communications. Partner with deal leads during evaluation and diligence to assess integration considerations, including tech stack, talent assessment, GTM alignment, transaction structure, operational readiness, and execution risk. Advise sponsors on how best to bring onboard acquisitions

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automati

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automation to reduce manual work