Staff Technical Program Manager, ML Platform

Snap Inc.•Los Angeles, CA

1d•$178,000 - $313,000•Hybrid

About The Position

Snap Inc. is a technology company focused on improving communication and daily life through its camera-centric products. The company operates Snapchat, Bitmoji, and other digital services. The Technical Program Manager (TPM) role at Snap is a strategic, high-leverage leadership position for individuals with deep technical expertise in software engineering, machine learning, and data analytics. TPMs are responsible for large-scale, complex, and often ambiguous programs, acting as single-threaded owners. They combine technical depth with execution precision, driving outcomes for core products and infrastructure. Unlike traditional TPM roles, Snap TPMs are hands-on, contributing with Python notebooks, building dashboards and automation tools, and collaborating with engineering leaders on technical roadmaps and architectural decisions. The ideal candidate is a former engineer or data scientist who has transitioned into program leadership while retaining technical skills. The interview process is rigorous, evaluating technical fluency, first-principles thinking, and the ability to drive strategic outcomes in complex environments.

Requirements

Bachelor's in a technical field such as computer science, mathematics, statistics 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.
5+ years of experience in Technical Program Management .
A proven track record of leading large-scale, ambiguous programs across distributed teams in fast-paced, cross-functional environments, especially in the areas of improving platform reliability, operational stability and performance of production systems
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. GitHub), 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.

Nice To Haves

A background in software engineering, machine learning, or infrastructure systems
Prior hands-on experience with big data technologies such as Spark, Airflow, Hive, Kafka, or Flink.
Familiarity with cloud-native infrastructure (e.g., AWS, GCP) and containerization tools like Kubernetes or Docker.
Deep understanding of ML development workflows, model lifecycle management, or experimentation frameworks.
Background in building internal tools or developer platforms to improve engineering velocity and system reliability.
Experience managing production systems, reliability initiatives, or cost optimization programs.
Exposure to high-scale consumer technology or social platforms with strong privacy, performance, or safety requirements.
Strong storytelling and presentation skills—especially with senior engineering or executive audiences.
Masters or PhD in a highly analytical field

Responsibilities

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.