Engineering Manager in Washington

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. Location: Bellevue, WA Engineering Manager, Cost Intelligence We are looking for an experienced Engineering Manager to lead the Cost Intelligence engineering team. In this role, you will own the technical vision and execution for the features and systems that help Snowflake customers understand, monitor, and optimize their Snowflake consumption and spend. You will lead a talented team of engineers building the data products, APIs, and platform services that power cost visibility, usage analytics, budgeting, and cost optimization insights across Snowflake's platform. You'll work closely with Product Management, Design, Data Science, and cross-functional engineering teams to ship world-class cost intelligence capabilities to Snowflake's customer base. As manager for the Cost Intelligence team, you will: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cost Intelligence features — including cost allocation, resource budgeting, anomaly detection, and optimization recommendations — in partnership with product management. Set technical strategy for backend systems, data pipelines, and APIs that surface cost and usage insights to customers at massive scale. Own delivery end-to-end : from planning and scoping to design reviews, execution, launch, and iteration based on customer feedback. Partner cross-functionally with other engineering and cross functional teams to ensure smooth integrations and end customer success. Represent your team in broader technical discussions, contributing to Snowflake engineering-wide initiatives and best practices. We are looking for candidates with: 8+ years of software engineering experience, with 3+ years in an engineering management role leading teams building highly scalable, reliable, and low latency systems. Strong technical foundation in distributed systems, data engineering, or cloud-native backend development. Demonstrated ability to define and execute multi-quarter technical roadmaps while balancing short-term delivery and long-term platform health. Experience building cost management, budgeting, billing or FinOps tooling in a cloud environment (AWS, Azure, or GCP). Experience with anomaly detection, time-series analysis, or ML-driven cost optimization products. Excellent communication skills: able to distill complex technical problems for executive audiences and motivate engineers around a shared vision. Track record of hiring, growing, and retaining strong engineering talent. Strong hands-on skills. Can drill deep into complex system designs and implementation. BS/MS/PhD in Computer Science or related field, or equivalent experience. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. About the Role We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. In this role, you will: Build, lead, and scale a high-performing product engineering organization, including managers, senior technical leaders, and product-platform engineers. Define the multi-year product engineering strategy for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. Establish clear ownership, operating mechanisms, planning processes, and execution standards across Statsig product workstreams. Partner with leaders across ChatGPT, Codex, model measurement, ads, subscriptions, developer products, research, data, and infrastructure. Translate recurring launch, measurement, and experimentation needs into durable platform capabilities that serve the broader company. Guide technical direction across frontend, backend, SDK, data, analytics, and infrastructure surfaces. Balance rapid adoption with reliability, performance, correctness, usability, and safety. Serve as a senior escalation point for complex product-platform tradeoffs, integration decisions, and cross-company prioritization. Build a strong leadership bench and create an organization that can scale as Statsig becomes core infrastructure for OpenAI product development. You might thrive in this role if you: Have substantial engineering leadership experience, including leading managers or multiple engineering teams. Have built or scaled product, experimentation, analytics, developer tools, growth platform, or internal platform organizations. Bring strong product sense and can turn ambiguous customer workflows into durable platform strategy. Can set direction across multiple workstreams while giving teams clear ownership and autonomy. Have a track record of building strong leadership teams, hiring senior talent, and developing managers. Can operate credibly with senior product, engineering, research, data, and infrastructure leaders. Understand how to balance product quality, developer experience, reliability, performance, and adoption. Are comfortable leading through high ambiguity, organizational change, and post-acquisition integration. Want to shape one of the highest-leverage product platforms inside OpenAI. Success in this role looks like: A strong Statsig Product Engineering organization is built with clear leadership, ownership, priorities, and execution mechanisms. Statsig has a coherent product and engineering strategy that serves teams across OpenAI. Product teams can launch progressively, measure clearly, and make faster, higher-confidence decisions. The platform becomes more reliable, easier to use, and more valuable as adoption scales. Senior cross-functional partners trust the organization to turn company-wide needs into reusable platform capabilities. Statsig becomes a core part of how OpenAI ships safely, learns quickly, and improves products at scale. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale. What You’ll Do Lead and grow a small team building applied AI systems for internal operations Design and build AI-powered automation systems in close proximity to customers Stay hands-on in architecture and implementation across the full stack Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback Engage frequently with scaled workforces to understand needs and validate solutions Create systems for visibility and learning in hybrid workforces Partner with product, research, and ops teams daily You Might Thrive in This Role If You Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer Are a hands-on builder who enjoys operating across the stack Have deep experience applying AI, and are ready to experiment with frontier approaches Bring strong technical judgment across systems design, infrastructure, and full-stack development Have built developer tools, internal platforms, or workflow automation systems Enjoy frequent interaction with customers and thrive in feedback-driven development loops Are comfortable with ambiguity and excited to operate in a rapidly evolving space Have experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 Change Management, Public Preview) — declarative, git-integrated infrastructure-as-code for Snowflake objects. Customer asks were blunt: "get rid of Terraform." DCM is the deployment backbone under both Pipeline Builder and dbt Projects. Pipeline Builder (private preview, heading to public preview) — a visual, drag-and-drop orchestration canvas that compiles to DCM and deploys as a task graph. This is our answer to Databricks' Lakeflow Designer and Airflow. One of the biggest Snowflake launches coming this summer. More to come! This is a team with a track record of shipping fast, and there's plenty more on the roadmap. What we're looking for 3-5 years of management experience A track record of leading technical teams, plus experience with modern IDEs, distributed build systems, and cloud-based dev environments. Strong Product Instincts — Able to confidently meet with customers (internal, external, product mgr hat) , understand their problems, have a deep understanding of the existing product, and use that knowledge to author roadmaps, create project plans, and suggest novel product solutions. Excellent Cross Functional Relationship Building – DEX touches all parts of Snowflake’s software stack, with deliverables from UX down to bare metal. Building relationships and managing expectations is critical to making the whole of the product greater than the sum of its parts. Hands-on Experience – Build real projects to test the product, find the hard edges, make fixes, and develop opinions. Become an advocate for your own products and how to take them to the next level. Use AI extensively to empower your decision making. Passion mentoring and being mentored – Snowflake has a strong culture for growing people. We invest in others and ourselves. Having examples where you’ve concretely impacted those around you is critical. Bonus: dbt, Airflow, Spark, or similar experience with Data Engineering frameworks/tools Why this role matters now Authoring is the front door. Everything a data engineer does on Snowflake starts on one of our surfaces — so the experience here directly drives DE adoption and consumption. Agentic authoring is our FY27 big bet. Natural-language pipeline authoring in our products is a leapfrog opportunity over the competition and we demoed a lot of this at Summit A four-year roadmap is ready to converge into one, cohesive product. Workspaces, DCM, Cortex Code, Pipeline Builder, and their underlying primitives are coming together into one coherent authoring story, and this role is stitching them together. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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 communication skills. Ability to work on-site at our San Mateo, CA or Bellevue, WA offices. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING : Building at-scale telemetry pipeline or query replay pipeline Building or testing database query engine Operationalizing Machine Learning models Solid understanding of shipping end to end customer experiences across clients including browsers, apps and drivers Multi-tenant systems, with focus on reliability, performance, isolation, security and scalability. A track record of leading distributed technical teams Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com