Technology Product Owner Jobs

Our SLED sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced SLED Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new State, Local, and Education accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into State, Local, and Education organizations while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with SLED enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of value drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (mix

Our Enterprise Federal sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer’s unique needs and clearly convey the value of the Datadog product. Whether you’re looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced Federal, Civilian Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new Civilian Agencies within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (

Our SLED sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced SLED Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new State, Local, and Education accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into State, Local, and Education organizations while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with SLED enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of value drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (mix

Our Enterprise Federal sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer’s unique needs and clearly convey the value of the Datadog product. Whether you’re looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced Federal, Civilian Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new Civilian Agencies within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (

About the Team The Applied AI team safely brings OpenAI's technology to the world. We released ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. 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. We serve end-users directly through ChatGPT, and serve developers through our APIs, which power product features that were never before possible. About the Role The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity. In this role, you will: Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output. Use our latest AI tools to re-think how we can be the most productive team in the industry. Work closely with various teams within OpenAI to understand their workflows, challenges, and needs, and ensure the tools and systems built by the Engineering Acceleration team address these requirements. Bring new features and research capabilities to the world by partnering with product engineers to lay the necessary technical foundations. Guide and advise product engineering teams on best practices for ensuring observable, scalable systems. Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years of experience in engineering, including 3+ years of experience in infrastructure building tooling for developers. Have experi

About the team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems. About the role The Scaled Abuse team protects OpenAI’s products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement — balancing strong protections with a great user experience as the platform grows. Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient. In this role, you will: Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience Work closely with finance, security, product, research, and trust & safety ope

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering 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 As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. Implement fault-tolerant and resilient

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. 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 OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. Develop tooling and metrics that provide deep observability into system performance. Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. Lead investigations into high-impact performance regressions or scalability issues in production. Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: Have 7+ years of experience in software engineering with a strong tr

About the Team: GTM Innovation is a product engineering team with a charter to automate 100% of digital knowledge work in OpenAI's GTM, so sellers spend more time directly with customers. AGI-level reasoning doesn’t mean organization-level transformation “just works” out of the box; orgs must be redesigned around abundant intelligence and persistent virtual coworkers. Our team builds and scales a fleet of virtual coworkers that operate as full-time members of the account team, and redefines how our human-first revenue organization interacts with their agentic teammates. About the Role We’re looking for Full Stack software engineers with a product mindset to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: Have 4+ years of experience as a software/ML/product engineer working on user-facing systems Former founder, or early engineer at a startup who built a product from scratch is a plus Are fluent in Python or JavaScript and comfortable building full-s

About the Team The Consumer Products team at OpenAI brings groundbreaking AI technology to life through world-class hardware. Our Operations group ensures that every product moves seamlessly from concept to customer — integrating supply chain strategy, manufacturing operations, and quality systems to enable rapid, reliable, and scalable production. We partner closely with engineering, design, and manufacturing teams around the world to deliver exceptional products at launch and beyond. About the Role As an Operations Manager, you will own the execution and strategy that transforms early product concepts into high-quality, manufacturable consumer devices. You’ll lead cross-functional planning, manage vendor relationships, and ensure supply, cost, and schedule alignment across fast-moving hardware programs. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to supplier and manufacturing sites is expected. In this role, you will: Develop and execute operations strategies that bridge product design and large-scale manufacturing. Drive build readiness and production planning from prototype through mass production. Partner with global suppliers to ensure materials, tooling, and capacity meet program goals. Collaborate with hardware, quality, and supply chain teams to establish and maintain robust operational systems. Track cost, yield, and schedule performance to ensure efficient and predictable product delivery. Build scalable processes that support rapid iteration and future product launches. You might thrive in this role if you: Have 6+ years of experience in hardware operations, manufacturing, or supply chain for consumer electronics or similar industries. Have successfully taken at least one product from concept through mass production. Are fluent in NPI processes, contract manufacturing dynamics, and global operations management. Bring strong analytical and co

The Best Players Need the Best People. This role implements practical, AI-enabled workflows that increase productivity, reduce manual effort, improve speed, and deliver measurable business value across PGA Tour departments. Working closely with internal stakeholders including product teams, engineering, data science and AI COE, cybersecurity, privacy, technology operations, and approved vendors. The Forward Deployed Engineer documents existing workflows, defines requirements, configures approved tools with the AI Governance Committee, and supports rollout of repeatable solutions that are secure, accurate, reliable, and easy for employees to use. This is an implementation-focused role centered on assigned use cases and department-level workflow improvements. The engineer evaluates whether a business need can be met through existing enterprise platforms, configuration, integration, workflow redesign, or vendor capability, and will escalate larger product, roadmap, architecture, or custom-development decisions to AI leadership. Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent practical experience. Minimum 5 years of experience in software engineering, systems integration, solutions engi

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a strategic and highly collaborative Lead PLM System Analyst to serve as the subject matter expert for Product Lifecycle Management (PLM) processes, systems, and data governance across the organization. In this role, you will lead the development, optimization, and deployment of PLM capabilities that support product creation, product data management, and enterprise-wide business objectives. You will play a critical role in aligning business processes, operational requirements, and technology solutions to drive innovation, efficiency, and product development excellence. You will partner closely with teams across Product Creation, Sourcing, Operations, IT, and other business functions to define PLM strategies, establish roadmaps, and ensure system capabilities effectively support current and future business needs. Acting as a trusted advisor, you will help shape the evolution of PLM processes and technologies while driving initiatives that improve data quality, visibility, compliance, and overall operational performance. You will lead complex PLM projects and system enhancements from requirements gathering through deployment, adoption, and ongoing support. This includes managing system integrations, upgrades, process improvement initiatives, and enterprise-wide efforts to standardize product data, specifications, materials, and bill of materials (BOM) management. You will also be responsible for developing and maintaining go

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Vertical Technology Lead, Policy & National Security Altana’s mission is to power a new era of globalization organized around trusted networks. Nowhere is that mission more consequential — or more demanding — than in the policy and national security community, where the questions our customers bring us are matters of sovereignty, security, and how a nation understands the networks it depends on. These are the hardest programs we run. The technical bar is high and it keeps rising: the biggest opportunities are won, kept, and expanded on the strength of the technical work itself — sometimes on technical capability alone. As these engagements grow, so does the machinery large government partners expect from a serious partner: program management, delivery cadence, contractual rigor, accreditation. Left unmanaged, that machinery swamps the very people whose job is to architect and build. We’re changing how we deliver so it doesn’t. Large and strategic accounts are staffed with dedicated Implementation Delivery Managers (IDMs) who carry the program, project, and delivery-management load — and, as an account grows more complex, we trade up the team to meet it. That frees the technical leadership of the vertical to do what only it can do: hold the architecture bar, win the technical argument, and drive the last mile of product where the mission needs something that doesn’t exist yet. As Vertical Technology Lead for Policy & National Security, you own the technical outcomes for the vertical end-to-end. You are the senior technical counterpart to the vertical’s commercial leadership — setting the technical approach that wins business, owning the solution architecture and delivery that turns wins into mission outcomes, and leading the team that does the work. This is a UK-b

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): Design and build the core synchronization and metadata handling logic for UniFi Drive on macOS, enabling reliable and intuitive access to files across local and cloud environments. Build platform-integrated file experiences by working with macOS system behaviors and APIs, with a focus on correctness, performance, and meeting native user expectations. Tackle non-trivial system problems that arise in real-world usage, such as handling change, coordination, and edge cases across devices and environments. Collaborate closely with backend and infrastructure teams to align on data models, APIs, and end-to-end reliability. Work with product and design partners to translate user workflows into robust technical solutions, balancing system constraints with user experience. Continuously improve performance, stability, and maintainability through measurement, profiling, and iterative refinement. Minimum Qualifications (MUST-haves) : 3+ years of professional software development experience, or equivalent experience, building and shipping production systems. Hands-on development experience on Apple platforms (macOS and/or iOS), with familiarity with the Apple development ecosystem and real-world production workflows. Strong computer science fundamentals, with the ability to reason cl