Teams at Strava

Own technical program execution for Strava for Business, driving concurrent cross-functional initiatives from scoping through delivery. Manage planning cadences, intake and triage, prioritization, sequencing, risk identification, and dependency coordination across engineering, product, business, partnerships, and sales stakeholders. Ensure roadmap capabilities ship reliably and predictably while independently resolving ambiguity and unblocking teams.

Lead measurement and causal inference strategies for complex product and marketing initiatives. Apply experimental and quasi-experimental methods, including geo testing, difference-in-differences, instrumental variables, and synthetic controls, to evaluate business outcomes. Investigate root causes of product and business performance, develop novel statistical approaches, advise data science and analytics teams, and communicate findings to technical and executive stakeholders.

Analyze athlete and product usage data to generate insights, guide product strategy, and inform data-driven decisions. Advise on A/B testing, experimentation, metrics, tracking quality, ETL and data modeling. Build dashboards and reporting, own end-to-end analytical solutions, identify trends, quantify impact, and translate findings into actionable recommendations while collaborating with product, engineering, design, research, data science, and data engineering teams.