Product Data Management Engineer in United States

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

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s mission is to unlock financial freedom for everyone by making money movement and access to financial data simple and secure. As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life. This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use. At Plaid, engineers take ownership early, contribute to architectural decisions, and see their work reach millions of users. Responsibilities: Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life. Collaborate cross-functionally. Partner closely with product managers and designers to define

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Governance and Compliance platform is the operating layer enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational structures. Program Structure and Trust is a newly chartered group at Vanta with a focused mission: build the enterprise org model that lets customers bring their compliance and security structure — product lines, business units, isolated data environments, cross-cutting audits, scoped approvals, and data residency requirements — natively into the platform. The problems this team solves determine whether Vanta can serve the enterprise customers it's increasingly winning. This is the defining technical role of the group. The Principal Engineer owns the design, phased delivery, and long-term technical direction of Vanta's enterprise org model — a multi-quarter initiative that cuts across the platform and establishes the foundation for how enterprise customers structure, segment, and operate inside Vanta. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Principal Engineer at Vanta: Own the design and multi-quarter delivery of Vanta's enterprise org model, including hierarchical product lines and business units, isolated data access and ownership, cross-cutting audit workflows, scoped approvals, and EU and GovCloud data residency support Define and evolve the core abstractions that let the platform absorb structurally diverse, often conflicting enterprise requirements — solving for the general case rather than one-off customer accommodations R

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll own critical Ads T&S workstreams from problem framing through scaled operation, partnering closely with Product, Policy, Engineering, Legal, and Go To Market to turn ambiguous priorities into durable operating models. This role sits at the intersection of strategy and execution: you’ll define scope, align owners, manage milestones and risks, resolve dependencies, and build the workflows, decision structures, and operating mechanisms that allow Ads Trust & Safety to scale. You’ll move between standing up new programs, stabilizing existing workflows, and handing off durable ownership as priorities evolve. As OpenAI introduces new revenue-generating formats and partnerships, you’ll bring structure to complex initiatives that balance user safety, advertiser experience, and business growth. You’ll use data and frontline signals to identify bottlenecks, quality gaps, capacity needs, and high-leverage interventions, and communicate clear

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role We’re looking for a Startup Content Marketing Manager who loves technology and wants to work closely with the founders building new products and companies with OpenAI. At OpenAI, you’ll work inside the company building the models and directly with founders turning those capabilities into new products and companies. You’ll try what they’re building and dig into the ideas, technical choices, and lessons behind their work. You’ll turn those discoveries into founder stories, practical guides, demos, and campaigns that help other builders see what’s possible and imagine what they could create next. This is a high-agency, hands-on individual-contributor role. You’ll own campaigns from the first founder conversation through publication and results. You’ll work with startup customers, ecosystem partners, and colleagues across OpenAI, with room to follow a promising idea, try an unexpected format, and make something founders genuinely want to read, watch, and share. In this role, you will: Build relationships with founders and technical teams, get hands-on with their products, and uncover stories and practical lessons other builders can apply to th

About the Team We’re hiring Software Engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Reliability Engineering, Observability, Developer Productivity or Cloud Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute needs, setting the technical strategy that supports cutting-edge research and product development. This is a critical role for someone who is passionate about solving complex engineering problems at scale, ensuring their performance, scalability and reliability Team Focus Areas Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build scalable, fault-tolerant systems and lead efforts around service health, incident response, and resilience. Observability: Design and maintain observability tooling (metrics, logs, tracing) to give teams visibility into production systems at scale. Developer Productivity: Create tools, environments, and workflows that help engineers ship high-quality software faster and more safely. Cloud Infrastructure: Own the cloud-native infrastructure (compute, networking, storage) that underpins all services and research workloads. Databases: Building high performance, distributed database systems that power all of OpenAI's product stack. In this

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. This role is based in either San Francisco or New York, and follows a hybrid schedule (Monday-Wednesday). In th

Human Factors Engineer Description - This role is responsible for shaping the usability and overall user experience of physical products or systems. The role requires a strong blend of human factors expertise, research rigor, and user empathy. The role collaborates closely with cross-functional teams, including designers, product managers, engineers, and stakeholders, to create user-centered design solutions that meet both user needs and business objectives. The role conducts thorough user research to uncover insights, behaviors, and pain points, translating findings into actionable design solutions. Responsibilities Plans, designs, and conducts usability studies and human factors evaluations across multiple stages of product development. Executes formative and summative usability testing, including protocol development, participant recruitment, data collection, and analysis. Leads human factors validation activities in alignment with relevant standards. Applies quantitative and qualitative research methods to generate actionable insights. Analyzes research data and translates findings into clear, practical design recommendations. Prepares and delivers research reports and presentations for cross-functional stakeholders. Collaborates with industrial designers, engineers, and product managers to integrate user insights into product development. Benchmarks product usability and experience against key competitors. Identifies and surfaces usability risks early in development to reduce downstream cost and rework. Supports continuous improvement of research processes, tools, and best practices. Education & Experience Recommended Four-year or Graduate Degree in Design, Human Fac

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making. As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques. You will contribute to projects focused on experimentation, defect detection, data analysis, and process optimization while collaborating with multi-functional engineering teams. This role is ideal for individuals who are passionate about problem solving, root-cause investigation, and leverausingology to improve manufacturing performance. Responsibilities Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions. Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives. Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights. Use inline defect signals, statistical analys

Work Flexibility: Onsite As an Associate ProAssure Systems Specialist, you will support the implementation and administration of Stryker's Vocera solution. You will be the go-to resource for nurses and clinicians at the customer site to train them on our hands-free communication product. Your workflow knowledge, people skills and troubleshooting ability help us deliver on Stryker’s mission to make healthcare better. Primary work location: 1601 Southwest Archer Road, Gainesville, FL 32608 What you will do: Manage multiple Vocera databases and establish and document processes for maintaining data integrity; Work with clinical departments to keep various database entities current Manage Vocera servers including software updates, OS maintenance, backups, and collaborate with the customer on anti-virus, server monitoring and disaster recovery practices Manage Vocera devices: Maintain accurate inventory records, manage the RMA process and spares pool and document all processes Train users to use Vocera effectively; collaborate with the customer to establish, document, and deploy sustainable training processes for new hires, current employees, and refresher training Provide on-site support for reporting and resolving end user issues, including issues with Vocera equipment, database and training and answer end user questions Provide on-site support for troubleshooting, resolving, and reporting technical issues and collaborate with Vocera Technical Support and customer’s support organization to resolve technical issues Maintain clear documentation on status and resolution of issues using Vocera’s chosen ca

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Staff Software Engineer on the Automation - Foundations team, you will lead the re-platforming of the data layer underneath Vanta’s entire compliance product. This is a migration that spans multiple teams, has to preserve every public API contract along the way, and cannot lose a single customer’s evidence while it happens. Foundations is Vanta’s data platform team. We ingest security and compliance data from across our customer’s environments, currently tens of thousands of resources per second, with single-customer bursts running into the millions. We store the data, catalog it, make it queryable, and turn it into evidence that has to survive a real SOC 2 or FedRAMP audit. We are in the middle of moving our platform from a Mongo-centric architecture to a schema-aware, Postgres-backed architecture, on a Kafka and S3 pipeline that decouples data fetching from processing. Both pipelines run in parallel today, the hard problems here are correctness under migration, eventual consistency, and multi-tenancy, in a domain where “mostly right” is not an acceptable failure mode. Visit our Vanta Engineering Blog to learn more about what our team is working on. What you'll do as a Staff Software Engineer at Vanta: Lead the migration of Vanta’s resource data model from a Mongo-centric solution to a schema-aware Postgres-backed solution and running both generations in parallel without breaking a customer integration. Drive solutions across teams that you do not own but are dependent on the platform built by your team. Design for correctness under eventual consistency with idempotent session handling, conditional writes that survive out

The Principal CRO and Web Analyst will drive the insights, measurement, and experimentation that shape Datadog’s website roadmap and improve how users discover, learn, and convert. You’ll use data to uncover opportunities, size impact, guide prioritization across high-value pages and journeys, and inform audience segmentation and personalization. This role combines analytical depth, clear storytelling, and hands-on execution across testing and optimization while shaping the experimentation culture and strategy that the broader team operates within. You’ll partner closely with Marketing, Product, and Web Engineering to deliver measurable gains in engagement and conversion. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own website analytics, KPI frameworks, and user behavior insights to inform the website roadmap Identify performance gaps using data, benchmarks, funnel analysis, and user behavior patterns Translate insights into clear recommendations, prioritization frameworks, and experimentation plans Define and scale Datadog’s web experimentation program, including testing strategy, methodology, and best practices Improve engagement and conversion through testing, optimization, segmentation, and personalization initiatives Partner with Marketing, Product, and Engineering to align experimentation with business priorities and present findings to senior leadership Who You Are: You have 10+ years of professional experience, including 6–8 years in conversion rate optimization, web analytics, experimentation, or a related field You have strong analytical and problem-solving skills, with the ability to turn data into clear narratives and decisions You have experience with user behavior data, funnel reporting, audience segmentation, and testing methodologies

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers independently drive complex technical work, shape the systems and technical decisions within their teams, and enable other engineers to deliver high-quality, scalable solutions. Vanta's product monitors the security posture of thousands of companies, pulling tens of millions of API calls of data per day, pushing information from hundreds of thousands of laptop agents, and running tests against that data continuously to identify potential security threats. Our infrastructure and tooling need to stay ahead of exponential growth in our customer base. As a Senior Software Engineer at Vanta, you'll drive complex projects across our technical stack, contribute to the technical direction of your team, and mentor other engineers. Your past experience will be leveraged to enable and accelerate Vanta's growth. Visit our Vanta Engineering Blog to learn more about what our team is working on! Tests are at the heart of how Vanta continuously monitors security and compliance for our customers. The Test Core team builds the runtime platform that powers these checks. We own how Tests are scheduled and executed, how their results are persisted and exposed, and the systems that keep this runtime reliable as Vanta grows. In this role, you'll work on some of the core systems behind Vanta's Tests platform. You'll tackle problems around the reliability, correctness, and performance of Test execution, evolve the systems and abstractions that allow the platform to scale, and make it easier for other engineering teams to build on the Tests runtime. Many of these problems span multiple systems and teams and require a deep u