Platform Engineering Director in United States

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is on a mission to bring everyone the inspiration to create a life they love. The Applied Science team plays a critical role in this mission by developing cutting-edge machine learning solutions that scale across all of Pinterest engineering teams (see our team’s publications ). We're looking for a highly technical Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of machine learning researchers and engineers within the Applied Science team. In this role, you will help the team build a portfolio of work which can balance that addresses both immediate short-term business needs and long-term strategic breakthroughs. You will partner with senior leaders to evolve our technical roadmap and directly drive Pinterest’s core mission forward. W

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you’ll do: Build cutting edge technology using the latest advances in deep learning and machine learning to

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace. What you’ll do: Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest. Define and implement experiments to understand long term Market

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams' capability to design, build and operate robust systems at scale. Pinterest's applications and infrastructure handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Senior Production Engineer on Solutions Engineering, you will design and build AI agents, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems serving hundreds of millions of monthly active users, handling hundreds of thousands of requests per second, and managing tens of petabytes of data. You'll lead infrastructure modernization initiatives, build intelligent automation that eliminates operational toil and amplifies engineer

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: Airbnb’s Business Technology (Biztech) organization sits at the heart of how we scale our internal operations to match the pace and ambition of our products. Within Biztech, the Finance Accounting Platform team owns the core finance accounting platform — the system that records, processes, and reports the financial lifecycle of every product Airbnb offers to the world. As a Senior Platform Manager on this team, you will be embedded in a rich, cross-functional community spanning the full breadth of Airbnb’s business. You’ll partner daily with Product and Platform Managers across Payments, Trust, Guest & Host, Pricing, Insurance, Hotels, and Customer Service — as well as Finance stakeholders from Revenue Controllership, Treasury, Tax, Payments Legal, Consolidation, Collections, and Cash. You’ll work closely with Data Engineers and Oracle Applications teams to bring platform solutions to life, and collaborate with FP&A and Business Unit teams who depend on the data your platform produces. This is a role for someone who thrives at the intersection of finance, product, and engineering — and who finds energy in being the connective tissue across a large, diverse, and highly capable community. The Difference You Will Make: You will be the strategic and operational owner of the finance accounting platform — the single point of accountability for shaping how it evolves to support Airbnb’s growing portfolio of product offerings. Your impact will be felt across three dimensions: Scaling the platform with Airbnb’s ambitions — You will define and drive the long-term roadmap for the finan

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 Airfam Products team empowers every Airbnb employee to access company information with ease, feel more connected to their colleagues, and experience a culture of belonging. We are the team behind Airbnb's internal digital headquarters — building the products that serve as the front door to company knowledge, community, and productivity for Airbnb's entire global workforce. The Difference You Will Make As the Product Manager for Airfam Products, you will own the strategic direction of Airbnb's employee-facing digital experience layer — a portfolio that touches every single employee every single day. You will set the product vision across One Airbnb, Chrome Tab, and Awedience, driving outcomes at the intersection of employee experience, AI-powered productivity, and organizational knowledge. This is a high-visibility, high-impact role. You will operate as the primary product voice for a domain that spans intranet, browser productivity, and internal events — partnering with EX, BizTech leadership, and platform teams to make deliberate, defensible decisions about what the team builds, when, and why. A Typical Day Define and maintain the product vision, strategy, and multi-horizon roadmap across One Airbnb, Chrome Tab, and Awedience Lead prioritization across a broad inbound request landscape, making clear, well-reasoned calls on what to build and what to decline Collaborate with engineering, design, and data science to ship high-quality features that improve employee productivity and connection Build alignment across cross-functional stakeholders including EX, Ground Control, Content

About the Team OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. About the Role As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) You might thrive in this role if you have 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) Strong cross-functional communication with PMs, enginee

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is hiring a Senior Manager, Customer Success Engineering to help lead Customer Success Engineering in North America. This leader will manage CSEs, ensuring the team is focused on the customers where Postman can create outsized impact, while providing the coaching, inspection, and operational discipline required for consistently high-quality execution. This is a highly cross-functional leadership role and a critical partner to Sales. The leader will work closely with North America Sales leadership, with a strong focus on East Coast alignment, to prioritize accounts, shape technical engagement strategy, allocate CSE capacity, and ensure customer execution is progressing with urgency and discipline. CSEs help customers embed Postman into real engineering workflows across API design, governance, CI/CD, developer platforms, integrations, modernization, migration, automation, quality enforcement, and service discoverability. This is not about general support or enablement; CSEs are laser-focused on turning Postman from a beloved developer tool into critical API infrastructure. The right leader is an experienced po

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. Team Scope You'll lead a team of 10 engineers owning the Developer Experience for authoring data engineering workloads, reporting to the manager who oversees DEX across all geographies. Every place a data engineer writes, runs, automates, or debugs their work is something we build, shape, or contribute to: Workspaces — the primary browser-based, multi-file IDE in Snowsight. Full-stack: a React/TypeScript front end on top of our own backend platform. We are the single largest contributor to this surface in net-new feature capabilities. Cortex Code Desktop — the local, VS Code-grade development experience for building on Snowflake (CoCo). We develop DE-focused experiences inside of the Desktop editor as first-class experiences. Cortex Code CLI — the command-line developer experience for the same workflows, for engineers who live in the terminal. We develop skills that go out to customers, as well as frameworks and technologies internally to build and test the agent and skills more rapidly. Pipeline Observability UIs — the in-product monitoring surfaces for deployed pipeline objects in Snowflake The products you'll ship on those surfaces dbt Projects on Snowflake (GA) — build, run, schedule, and monitor dbt natively inside Snowflake, no external orchestrator. DCM (Database Cha

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. We’re hiring a talented Software Engineering Manager to lead the Snowtrail infrastructure team at Snowflake. Snowtrail is the infrastructure that enables Snowflake to deliver dedicated coverage for customer-specific workloads. Its innovative approach allows Snowflake to precisely test and measure the impact of changes on individual customers, making it essential for ensuring the platform’s reliability, correctness, and performance. Through query replay, Snowtrail helps us catch regressions early. By leveraging machine learning models to intelligently sample queries and workloads, we continuously optimize for both cost and performance. Evolving Snowtrail to incorporate new engine features while improving scalability, efficiency, and reliability is central to our continued success OUR IDEAL MANAGER WILL HAVE : Strong passion and proven track record for shipping quality software in high code velocity environments 10+ years industry experience designing and building distributed data systems. Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems. Fluency in SQL, Java, C++, Python or Go. Ability to collaborate well across teams, build high-performing teams and mentor junior engineers. Excellent interpersonal co

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Designs, develops, and implements AI solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of AI engineering projects. Required Qualifications 5-7 years of professional experience in software engineering and application development. 2&#43; years of hands-on experience on LLMs & Generative AI (LLM) techniques. Expert proficiency in programming skills especially Python, Google Cloud platform and system architecture. Experience in leading engineering teams and driving technical roadmaps. Preferred Qualifications Define and implement AI safety frameworks Strong problem-solving skills and the ability to think strategically. Excellent communication skills for effective collaboration. Cross-functional collaboration Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred <p style="text-align:in

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Manager of Industrial Engineering to join CLEAR's Central Operations team. This role is the quantitative backbone of our Experience & Operations Design function — owning the data-driven design standards, labor models, and capacity planning that determine how CLEAR's physical operation is structured and staffed. You will be the analytical engine behind lane design decisions, engineered labor standards, and demand forecasts, ensuring the operation is designed to deliver a consistently excellent member experience efficiently at scale. What you'll do: Develop and own engineered labor standards and staffing models across CLEAR’s physical experiences, including Verifier, Greeter, eGate, Concierge, TSA PreCheck, Enrollment, Sports, and new programs, serving as the operations source of truth for labor and headcount inputs Define physical operating requirements and sizing standards across lane configurations, verification and enrollment experiences, hardware placement, and queue management; lead checkpoint design for new and existing airport locations Lead demand forecasting and capacity planning across CLEAR experiences, modeling throughput, staffing requirements, operating hours, and operational impact for new programs, launches, surge periods, and events Drive operational efficiency through time studies, process analysis, and labor optimization, identifying and developing opportunities to improve productivity, capacity, and the Member experience across the network Partner cross-functionally with Operations,

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

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 to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As a Senior Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-pr