Teams at Staffbase

Own product analytics delivery across adoption, discovery, and user behaviour. Build AI-native analytics using LLMs and agents, support self-serve tooling, collaborate with Analytics Engineering on semantic models, and translate insights for product leadership and Customer Success.

Lead product analytics for B2B SaaS: build dashboards, models, and exploratory analyses; operationalize AI-native analytics (LLMs/agents); enable self-serve data access; partner with analytics engineering and customer success to surface adoption, retention, and churn signals.

Own product analytics for adoption, discovery, and user behaviour; build AI-native analytics tooling and self-serve layers; partner with analytics engineering; deliver dashboards, dbt models, and exploratory analyses to inform product and customer success.