Snapchat-posted 3 months ago
$157,000 - $235,000/Yr
Full-time • Mid Level
Seattle, WA
1,001-5,000 employees
Publishing Industries

Snap Inc 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 Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. At Snap, the Technical Program Manager (TPM) is not a traditional project coordinator-this is a strategic, high-leverage leadership role designed for deep technical operators who thrive at the intersection of software engineering, machine learning, data analytics, and program execution. TPMs at Snap are single-threaded owners of large-scale, high-stakes, and often ambiguous programs. They combine engineering depth with execution precision, earning visibility and trust across the company by driving outcomes that power the core of our products and infrastructure. Unlike industry-standard TPM roles, Snap TPMs are hands-on contributors who write Python notebooks, build dashboards and automation tools, and partner closely with engineering leaders to shape technical roadmaps, make architectural trade-offs, and drive the operating rhythm of the business. The most successful TPMs possess the ability to grasp new concepts quickly, navigate technical complexity, and adapt in fast-moving environments. This role is ideal for former engineers or data scientists who have evolved into program leaders without leaving their technical roots behind.

  • 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.
  • BS/BA degree in an analytical field (Computer Science, Engineering, Science, Math, etc.) or equivalent years of experience.
  • 2+ 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.
  • Familiarity with machine learning concepts and techniques.
  • 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. 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.
  • 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.
  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that let you share in Snap's long-term success
  • Equity in the form of RSUs
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