Technical Program Manager (Monetization)

Join Snap as a Technical Program Manager (Monetization) and lead complex, cross-functional programs that span multiple engineering organizations. This strategic, high-leverage leadership role requires deep technical understanding, rigorous execution, and strategic influence. You will operate as a single-threaded owner for critical programs, manage ambiguity and dependencies, and partner directly with engineering and product leadership. The role also involves hands-on data analytics, building automation tools, and driving the operating rhythm of the business.

• Lead complex, cross-functional programs that span multiple engineering organizations and require deep technical understanding, rigorous execution, and strategic influence.
• Own the full lifecycle of programs—from ideation to execution to operational excellence—delivering outcomes that support Snap’s product, infrastructure, and platform goals.
• Use hands-on data analytics (Python, SQL, dashboards, notebooks) to guide programs with data, uncover insights, and communicate clearly with senior stakeholders.

• Experience working directly with engineers and contributing to technical design, architectural trade-offs, and roadmap planning
• 6+ 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
• Excellent communication, organizational, and leadership skills
• Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• 3+ years of experience in Technical Program Management
• Demonstrated ability to quickly learn new domains, systems, and technologies
• 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
• Experience with data visualization tools (e.g. Grafana, Looker, Tableau) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA)
• Strong proficiency with Python and SQL, and experience using data to analyze systems, build tools, or inform decisions
• Comfort operating with high visibility and accountability; you thrive on ownership and impact
• 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
• A background in software engineering, infrastructure systems
• Prior hands-on experience with big data technologies such as Spark, Airflow, Hive, Kafka, or Flink
• 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
• Familiarity with cloud-native infrastructure (e.g., AWS, GCP) and containerization tools like Kubernetes or Docker