Global activity platform and record for athletes, with growing B2B business
Strava operates a massive activity-logging network—billions of uploads from athletes worldwide—built on polyglot infrastructure (Android/iOS, Ruby, Go, Python, Kafka, Cassandra, PostgreSQL + PostGIS). Heavy engineering hiring (17 roles) paired with aggressive marketing (8 roles) and emerging data/sales functions reveals a two-pronged growth push: platform modernization and commercial expansion. Active projects span recommendation systems, campaign attribution, and B2B lifecycle scaling—suggesting a shift from pure athlete engagement toward monetization through partner and enterprise channels.
Notable leadership hires: Account Management Lead
Strava is a social platform and activity record for athletes, capturing billions of activity uploads globally. The core product connects athletes to training data, community, and personal performance tracking. Beyond consumer, the company is building a B2B business serving partners and enterprises through data, measurement, and marketing services. Engineering is structured around Android/iOS, backend services (Ruby, Go, Scala, Python), and data infrastructure (Cassandra, Kafka, PostgreSQL with geospatial extensions). The organization is 201–500 people, headquartered in San Francisco, and actively hiring across US, Germany, and UK.
Android, iOS, Kotlin, Java, Ruby, Go, Python, Scala, MySQL, PostgreSQL (with PostGIS), Redis, Cassandra, Kafka, Kubernetes, AWS. Also: Tableau for analytics, Figma for design, Jira/Confluence for ops.
Recommendation and prediction models for athletes; attribution and measurement frameworks for B2B partners; social feature backend; platform modernization; lifecycle scaling for partner programs.
Strava's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.