Product Owner in United States

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Within Premium Support, Dedicated Support Engineers combine deep technical troubleshooting with an enduring understanding of our most strategic customers’ architectures, critical workloads, and business priorities. Through proactive reliability work, ownership during incidents, and AI-powered support capabilities, we help customers operate successfully as their use of OpenAI grows. About the Role We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI. This role combines organizational leadership, technical judgment, and executive customer engagement. You will establish a model in which DSEs develop deep customer context, independently advance difficult investigations, anticipate operational risks, and drive issues through resolution. You will also turn what the team learns into improvements that benefit customers across OpenAI. You should bring experience building technical organizations that maintain long-term accountability for enterprise customers. Leadership in Technical Account Management, enterprise Support Engineering, or a comparable technical customer function is particularly rel

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the last year we’ve made a lot of progress producing quality content and messaging, and we’re now looking for someone to help us distribute it to the right audiences. As Demand Generation Lead, you’ll own how future customers find and first experience Linear, across web, search, and paid media. Your objective is to build awareness and pipeline, particularly with larger companies. It’s likely this role will operate and feel a little different to what you might find elsewhere. Linear is a very brand forward company, so there will be scenarios where we have to turn down seemingly great opportunities to protect perception. We’re unlikely to ever use retargeting pixels and gated content, for example. We’ve got a basic demand motion in place today but we’ve barely scratched the surface. As the first demand generation hire, you’ll own the strategy and lead on delivering it. The marketing team is small but has an outsized impact, and we intend to keep it that way. You’ll have real influence on how Linear grows, and you’ll be encouraged to take ownership and deploy tooling and practices that help you be more effective. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional momen

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Our Talent team is looking for an experienced and discerning technical recruiter to help build Linear’s next generation of engineering talent. This is a hands-on, high-impact role for someone who sees recruiting as a craft. Your primary focus will be growing our engineering team in North America. You’ll work closely with engineering leadership and our existing recruiters across product, infrastructure, AI, mobile, and emerging technical roles. You’ll own the full search, from mapping talent markets and activating networks through assessment, work trial support, and close. Linear engineers tend to combine technical depth with product judgment, craftsmanship, and significant ownership. Finding them requires more than matching resumes to requirements. We’re looking for someone who can recognize these qualities, reach candidates with precision, and continually sharpen their judgment through close partnership with our team. All recruiters at Linear are generalists and may support other functions as company priorities evolve, but engineering will be the primary focus of this role. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North American (Eastern time zone), with a strong preference for the New York City area. Being in New York enables closer partnership with our growing local team, c

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engine

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 GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why a

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

About the team Online Data builds and operates Habitat, the single product surface of Online Data and the system of record for OpenAI’s online user data. As OpenAI’s scale and product requirements evolve, Habitat is becoming a full-stack, one-size-fits-most database platform with end-to-end ownership of: Provisioning and developer experience APIs and guardrails Scaling, performance, and reliability Data movement, caching, routing, and placement Privacy enforcement and access control Change Data Capture (CDC) as a first-class primitive The foundation for future storage backends You’ll work on the core online database platform behind OpenAI’s products, building and operating Habitat services that handle high-QPS, latency-sensitive workloads across regions. You’ll partner closely with internal platform and product teams to ship safe, reliable systems, then push them to be faster and more cost-efficient through better caching, routing, observability, and operational tooling. This is a critical role for engineers who like owning hard distributed-systems problems end to end and sweating the details from p99 latency to production operations at massive scale. In this role, you will Design and build core abstractions spanning storage, caching, routing, CDC, and privacy enforcement Own a major surface area end to end, from product and API design to operational excellence Improve latency, correctness, and cost efficiency for real production workloads at massive scale Build strong instrumentation, debugging workflows, and developer-first tooling Collaborate closely with internal product and infrastructure teams to understand requirements and ship pragmatic solutions Participate in an on-call rotation and raise the bar on reliability while aggressively improving performance and usability You might thrive in this role if you have A strong track record building and operating high-scale backend or data-intensive distributed systems in production Excellent systems judgment and the a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Deve

US Equity Strategy Strategist Citi Research has an opening for an Equity Research Analyst to join its US Equity Strategy team. This is a demanding role requiring exceptional analytic skills along with the ability to work independently as well as part of a small team. The individual will take ownership of several processes critical to our published work. You will produce high-impact analysis of equity markets and investment themes incorporated in the advice which Citi delivers to both internal and external clients worldwide. In this role, we expect you will develop into a subject matter expert on US equity markets. This is an opportunity to make a direct and measurable contribution to our research product and be an integral part in developing our US equity market calls and insight. Responsibilities Build, maintain, and enhance financial databases and models that support ongoing and bespoke research needs. Assess macro and micro economic forces at work and incorporate into our market views. Analyze global equity markets and financial trends to produce timely, well-reasoned investment insights that inform client decisions and support Citi's broader research output. Author high-quality research reports and thematic pieces that clearly communicate Citi's investment views to external clients and internal stakeholders. Originate and develop analysis of US investment themes, contributing to US Equity Strategy product Deliver tailored analysis and data-driven responses to requests from investors and Citi colleagues, ensuring accuracy and relevance to their specific needs. Collaborate closely with Citi Research professionals across regions and disciplines to ensure a consistent, globally informed perspective in all published work. Uphold the highest standards of risk awareness and professio

Citi Wealth is a leading provider of financial solutions for affluent, high net worth and ultra-high net worth clients around the world. Our Private Bankers, Financial Advisors and Product Specialists act as trusted advisors to many of the world’s most successful and influential individuals and families. We provide global insights informed by deep local knowledge and help deliver the complete financial management strategies that today’s wealth requires. Our comprehensive services are tailored to individuals and families, including entrepreneurs and business owners, single-and multi-family offices, senior corporate executives, next generation/inherited wealth, law firms and attorneys. From investment strategy, to banking, to lending and cash management we are here to support our clients comprehensively. Our goal is to deliver a premier level of service while helping clients preserve, grow and manage their wealth. Lending is a key product offering within Citi Wealth. Lending provides competitive borrowing solutions that are strategically integrated into our client’s broader Wealth Management goals. Our team provides lending solutions across all four client segments including Citi Private Bank, Wealth at Work, Citi Private Client and Citigold as part of their wider Citi relationship. US Credit Card solutions are provided to Wealth clients via US Consumer Cards. This role will oversee the relationship with US Consumer Cards in partnership with our Wealth Business and Operations teams. This role will sit within the Wealth Lending Business Strategy and Governance, which is part of the Citi Wealth Lending team. Key Responsibilities Support the ongoing development and enhancement of the Wealth US Credit Card offering in partnership with US Consumer Cards Act as a key point of contact for Bankers and Financial Advisors for US Cards-related inquiries and escalations Assist in managing d

VTS is the category leader in commercial real estate technology with more than 13 billion square feet managed on our platform globally. Every account in your book represents an opportunity to expand how some of the largest owners and operators in the industry leverage technology to modernize their portfolios. As an Account Manager, you will work directly with leadership while helping drive the next phase of growth at VTS. You will own expansion revenue across a portfolio of 60 to 80 SMB and lower mid market commercial real estate accounts. Your job is simple: generate and close net new revenue within your book. That means identifying whitespace, creating urgency, and running multiple deal cycles simultaneously, not waiting for opportunities to come to you. This is not a support role. Renewals and adoption are handled separately. You own the commercial motion including upsells, cross sells, and new product expansion, with a direct quota and meaningful upside for top performers. Here’s what you can expect as an Account Manager: Proactively identify expansion opportunities across your book using product usage data, account signals, and direct customer conversations. Run 30 to 60 day deal cycles across multiple accounts simultaneously. Build relationships with decision makers and navigate 1 to 3 stakeholder buying groups to close opportunities. Maintain a disciplined pipeline with accurate forecasting and clear next steps on every active deal. Partner closely with Customer Success and Sales while maintaining ownership of the commercial opportunity. Create urgency and momentum across active deals instead of reacting to inbound demand. What makes you a great fit? 2-4 years in a quota carrying B2B SaaS role across account management, SMB sales, or expansion focused customer roles. Demonstrated success sourcing and closing expansion revenue independently. Experience managing a high volume book of business with strong organizat

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

About Us: Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution. At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. Why Novo? Novo is a rapidly growing series B fintech startup with a mission-driven team that’s passionate about helping every small business in America Positive, inclusive, supportive culture cheering you on your journey We work with very new technologies and architecture patterns Offices in NYC and India. Role Summary: We're looking for a Procurement Analyst to own the day-to-day operations of Novo's third-party risk management (TPRM) and procurement process end to end. You'll be the person who keeps every vendor request moving chasing down documents, following up with stakeholders, and making sure nothing falls through the cracks between Legal, InfoSec, Compliance, and the business teams who requested the vendor in the first place. This is a hands-on, individual contributor role for someone who's comfortable being the connective tissue across a lot of moving parts. You'll take full own

Interactive Design Engineer - HPIQ Description - About The Role As a Product Design Engineer at HP IQ, you’ll work at the intersection of creativity, engineering, and design to develop groundbreaking devices that redefine how people interact with technology. You’ll collaborate closely with industrial designers, hardware engineers, and interaction designers to transform ideas into functional prototypes and production-ready designs. From 3D CAD modeling and hands-on prototyping to engineering analysis and design validation, you’ll help solve complex mechanical challenges and drive designs from early concepts toward production. You’ll have the opportunity to take ownership of meaningful engineering work while learning from an experienced, multidisciplinary team and contributing to products that push the boundaries of what’s possible. What You Might Do Design mechanical parts, components, and assemblies for new consumer devices using 3D CAD (NX) Create detailed 2D engineering drawings, define specifications and tolerances, and work closely with overseas vendor partners to ensure accuracy and quality Design and run experiments, applying engineering analysis and test results to guide design decisions Evaluate materials, manufacturing processes, and design tradeoffs to develop robust and scalable solutions Work cross-functionally with hardware, software, industrial design, and other engineering teams to bring concepts from ideation through development Conceptualize, design, and build prototypes that quickly validate ideas Participate in design reviews, clearly communicating design decisions, technical analysis, and tradeoffs to both technical and non-technical audiences Build, test, troubleshoot, and iterate prototypes to identify issues and improve product performance, reliability, a