Staff Technical Program Manager - AppEx

At Snowflake, we are powering the era of the agentic enterprise. 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. AppEx is one of the most cross-cutting and high-visibility engineering organizations at Snowflake. As a Staff TPM, you will operate at the intersection of these surfaces, owning the programs that connect them and shaping how the organization delivers.

Responsibilities

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; Partner with Directors, Engineering Managers, Product Managers, and Principal Engineers to shape multi-quarter roadmaps, make tradeoff decisions explicit, and build execution plans; Drive cross-org decisions on shared APIs, integration points, and developer-facing launches; Diagnose systemic friction in how AppEx plans and delivers, and design operating mechanisms, including AI-assisted workflows, that improve engineering velocity and predictability; Represent AppEx programs to executive leadership with clear, data-backed narratives, recommendations, and escalations; Raise the bar for technical program management across AppEx by mentoring other TPMs and establishing practices the wider organization adopts

Requirements

8+ years of technical program management experience, ideally at a cloud software company; Track record of owning complex, multi-team programs end to end; Experience leading programs at organization-wide scope with several teams with competing priorities and no shared reporting line; Deep familiarity with developer-facing products or platform engineering; Strong technical depth, working directly with engineers and architects and going deep on system design and dependencies; Proven ability to influence without authority across Engineering, Product, Design, and Go-to-Market; Comfort operating in ambiguity; Excellent written and verbal communication; 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

Nice to have

Experience delivering AI/ML or generative AI products, such as LLM-powered features, agentic applications, or AI developer tooling; Working familiarity with GenAI concepts such as retrieval-augmented generation, agents, model evaluation, and inference cost tradeoffs; A habit of using AI tools to plan, track, and communicate programs; 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 developer relations; A track record of building data-driven program health mechanisms that leadership relies on for decisions; Experience in a high-growth technology company environment