Technical Program Manager, Compute & Data Infrastructure

Position: Staff Technical Program Manager, Compute & Data Infrastructure
is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are , a visual messaging app that enhances your relationships with friends, family, and the world;

, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .Our interview process reflects the technical rigor and strategic impact expected of TPMs ike typical program management interviews, our process is designed to evaluate candidates’ ability to think like engineers and act like owners. Candidates begin with an introductory conversation with the hiring manager, followed by a technical screen that dives into core program execution and engineering fundamentals.

From there, candidates complete a hands-on data analytics assessment via Hacker Rank, where they write executable Python and SQL code to analyze real-world data problems. The final stage is a virtual onsite, which includes a program leadership presentation and three 1:1 interviews with senior leaders across Snap. Throughout, we assess not only communication and collaboration skills but also technical fluency, first-principles thinking, and the ability to drive strategic outcomes in complex, ambiguous environments.

As a Technical Program Manager (TPM) at Snap, you will:
* Lead complex, cross-functional programs that span multiple engineering organizations and require deep technical understanding, rigorous execution, and strategic influence.
* Operate as a single-threaded owner (STO) for the most critical programs, managing ambiguity, dependencies, and alignment across diverse technical teams.
* Own the full lifecycle of programs—from ideation to execution to operational excellence—delivering outcomes that support Snap’s product, infrastructure, and platform goals.
* Partner directly with engineering and product leadership to shape roadmaps, influence technical decisions, and drive accountability.
* Use hands-on data analytics (Python, SQL, dashboards, notebooks) to guide programs with data, uncover insights, and communicate clearly with senior stakeholders.
* Contribute to Snap’s technical ecosystem by building automation tools, improving internal systems, and identifying opportunities for platform-wide transformation.
* Work across both development programs (spanning multiple orgs with complex interdependencies) and platform excellence programs (focused on reliability, efficiency, and performance).
* Drive the operating rhythm of the business, ensuring engineering systems scale effectively while remaining cost-conscious and performant
* Mentor and grow other junior TPMs and Engineers to scale the performance of the org

Minimum Qualifications:

* BS/BA degree in an analytical field (Computer Science, Engineering, Science, Math, etc.) or equivalent years of experience.
* 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
* 6+ years of experience in Technical Program Management .
* A proven track record of leading large-scale, ambiguous programs in fast-paced, cross-functional environments.
* Strong proficiency with Python and SQL, and experience using data to analyze systems, build tools, or inform decisions.
* Experience with data visualization tools (e.g. Grafana, Looker, Tableau) building dashboards, source control (e.g. Git Hub), ticket management (e.g. JIRA).
* Experience working directly with engineers and contributing to technical design, architectural trade-offs, and roadmap planning.
* Comfort operating with high visibility and accountability; you thrive on ownership and impact.
* Demonstrated ability to quickly learn new domains, systems, and technologies.
* Excellent communication, organizational, and leadership skills.

Preferred Qualifications:

* A background in software engineering, machine learning, or infrastructure systems
* Prior hands-on experience with big data…