Staff Technical Program Manager - AppEx
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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 donβt 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 β 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.
This is a hybrid role based in our Menlo Park or Bellevue office. You will split your time between working on-site with your engineering, product, and leadership partners and working remotely, giving you dedicated in-person time for planning, alignment, and the high-stakes conversations where being in the room matters.
AS A STAFF TECHNICAL PROGRAM MANAGER AT SNOWFLAKE, YOU WILL:- Define and own the program strategy for AppEx's highest-impact initiatives, spanning application surfaces, developer tooling, AI-powered experiences, and the underlying platform, from initial framing through launch and adoption
- Lead programs that cross AppEx sub-orgs (Applications, Notebooks, Native Apps, Drivers, AIML, Developer Platform) and extend into partner organizations across Snowflake, driving alignment where no single team owns the outcome
- Partner with Directors, Engineering Managers, Product Managers, and Principal Engineers to shape multi-quarter roadmaps, make tradeoff decisions explicit, and build execution plans that hold up under real-world complexity
- Drive cross-org decisions on shared APIs, integration points, and developer-facing launches that touch multiple Snowflake product surfaces
- Diagnose systemic friction in how AppEx plans and delivers, and design the operating mechanisms, including AI-assisted workflows, that improve engineering velocity and predictability across the org
- Represent AppEx programs to executive leadership with clear, data-backed narratives, recommendations, and escalations that drive decisions
- Raise the bar for technical program management across AppEx by mentoring other TPMs and establishing practices the wider organization adopts
OUR IDEAL STAFF TECHNICAL PROGRAM MANAGER WILL HAVE:- 8+ years of technical program management experience, ideally at a cloud software company, with a track record of owning complex, multi-team programs end to end
- Experience leading programs at organization-wide scope, where success depended on aligning several teams with competing priorities and no shared reporting line
- Deep familiarity with developer-facing products or platform engineering, and an understanding of what it takes to build great developer experiences and ship them at scale
- Strong technical depth: you work directly with engineers and architects, go deep on system design and dependencies when needed, and keep execution on track
- A proven ability to influence without authority across Engineering, Product, Design, and Go-to-Market
- Comfort operating in ambiguity, defining structure and direction where none exists and making progress before all the answers are clear
- Excellent written and verbal communication, effective with engineers, executive stakeholders, and everyone in between
- Experience with modern cloud-native software development, including CI/CD, release management, and API-first development
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience
BONUS POINTS FOR THE FOLLOWING:- Experience delivering AI/ML or generative AI products, such as LLM-powered features, agentic applications, or AI developer tooling, including the evaluation, quality, and launch-readiness challenges unique to them
- Working familiarity with GenAI concep...
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Cloud data platform for storing, analyzing and sharing data and building AI applications.
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