Snap
Staff Technical Program Manager, ML Platform
$178K–$313K
Los Angeles, California +2 · Staff · Full-time · Posted Sep 25, 2026
- Location
- Los Angeles, California
Seattle, Washington
Palo Alto, California - Experience
- 11+ years across Engineering / Data Science / Technical Program Management, including 5+ years in Technical Program Management.
- Education
- Bachelor's in a technical field such as computer science, mathematics, statistics, or equivalent years of experience; Master's or PhD in a highly analytical field preferred.
About the job
Leads high-impact, cross-functional ML platform and engineering programs, using technical execution and data analytics to shape roadmaps, improve platform performance, and deliver operational outcomes.
What you'll do
- Own complex programs end to end, aligning distributed engineering teams and managing ambiguity, dependencies, and execution.
- Partner with engineering and product leaders on roadmaps, technical decisions, and platform reliability, efficiency, and performance.
- Use Python, SQL, dashboards, and automation tools to analyze systems, guide decisions, and communicate progress.
What they ask for
- 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.
- Strong proficiency with Python and SQL; experience with data visualization tools, source control, and ticket management.
Nice to have
- Background in software engineering, machine learning, or infrastructure systems; familiarity with ML development workflows, model lifecycle management, or experimentation frameworks.
- Hands-on experience with big data technologies such as Spark, Airflow, Hive, Kafka, or Flink; familiarity with AWS, GCP, Kubernetes, or Docker.
Pay
$209,000-$313,000 annually USD (base salary); $199,000-$297,000 annually USD (base salary); $178,000-$266,000 annually USD (base salary)
Tools
Python, SQL, Grafana, Looker, Tableau, GitHub, JIRA, Spark
AI focus
Leads programs for Snap’s ML platform and may work with machine learning workflows, model lifecycle management, and experimentation frameworks.
Model-written summary · the original posting is authoritative