Technical Program Manager - AppEx

Position: Staff Technical Program Manager - AppEx
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.

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 App Ex'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 App Ex 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 App Ex plans and delivers, and design the operating mechanisms, including AI-assisted workflows, that improve engineering velocity and predictability across the org Represent App Ex programs to executive leadership with clear, data-backed narratives, recommendations, and escalations that drive decisions

Raise the bar for technical program management across App Ex by mentoring other TPMs and establishing practices the wider organization adoptsOUR 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 trackA 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 concepts such as retrieval-augmented generation, agents, model evaluation, and inference cost tradeoffs, enough to engage credibly with engineers on design decisionsA habit of using AI tools in your own work to plan, track, and communicate programs, and an appetite for finding new ways AI can make engineering organizations faster

Hands-on experience with Snowflake, data platforms, or developer tooling products such as Streamlit, Notebooks, Native Apps, Cortex, or Spark Experience driving developer ecosystem programs such as SDKs, drivers, or work adjacent to…