Senior Product Manager

YOUR ROLE

We are looking for a hands-on Head of Product (m/f/d). You will translate the product vision into an actionable roadmap, drive day-to-day execution, and ship high-impact features that materially improve how analysts and portfolio managers generate insights and construct portfolios. Your initial focus will be on establishing product management excellence — bringing best practices and high-quality execution across engineering and, later, data science teams — and, over time, defining and driving the long-term product vision for future internal products and client-facing experiences.

You will work on BIT Capital’s interactive research platform that surfaces data insights built on very large-scale data and LLM/statistical pipelines, with measurable impact on alpha generation across our funds. This is a deeply technical product role: a large part of your work will focus on data sourcing and pipelines, while also shaping user experiences and front-end workflows to deliver these insights.

You’ll also contribute to portfolio analytics and compliance workflows, ensuring consistency and usability across the entire research process.

You will manage one Product Manager and coordinate the product management function for a team of 5+ engineers, with the expectation to expand into coordinating the work of the data science and AI engineering teams. As the organization scales, you will build and grow the product function — hiring, mentoring, and developing additional PMs — and lead the evolution of the product portfolio beyond research, toward new internal and external applications.

Success is measured by improvements in research productivity and time-to-insight, and a demonstrable positive impact on fund performance.

Location:

Berlin HQ (hybrid).Relocation:

Berlin relocation required (visa/relocation support available).

• Roadmap & prioritization:
  
  Run weekly planning in Linear with Engineering; keep a sequenced roadmap and a clean backlog; keep specs/PRDs current.

• Delivery & releases:
  
  Define acceptance criteria, coordinate UAT, and manage releases with clear change notes; triage and prioritize bugs/regressions and coordinate fixes; post-launch, track feature adoption and productivity impact.

• UX & front-end:
  
  Define user journeys and UI specs with Design/Frontend to surface model/data outputs with context, confidence, and clear actions; ensure performance and consistency.

• Data product & datasets:
  
  Discover datasets for priority use cases; lead vendor scouting and relationships; coordinate evaluations with Engineering/Data Science. Align on ingestion requirements, freshness SLAs, data contracts, and schema changes; assist with simple renewals.

• Compliance & governance:
  
  Ensure internal tools meet regulatory, auditability, and entitlements/permissions requirements; partner with Compliance on documentation and pre-launch checks.

• Scale the product function:
  Directly manage one Product Manager and coordinate product work with a team of 5+ engineers. As we grow, expand coordination to Data Science and AI Engineering, and help shape hiring, team rituals, and product management standards. Over time, mentor and develop additional PMs and take a leading role in shaping the long-term product vision and direction as the organization scales.

Core requirements

• 5+ years managing a data/ML/analytics product of strategic importance, owning roadmap, specs, and delivery end-to-end

• Strong technical literacy across modern data & AI platforms — including data lakes and warehouses (Snowflake, Databricks), relational databases (Postgres), large-scale compute (Databricks/Spark), process orchestration tools, and LLM workflows and agents

• Ability to define product requirements and evaluation criteria for data and LLM pipelines; apply core statistics; and recognize common financial/alt-data pitfalls (e.g., survivorship bias, look-ahead bias, seasonality)

• Comfortable with SQL and Python for lightweight validation, data checks, and analysis (e.g., in Databricks)

• Strong track record of product execution: from discovery and PRDs to release and measurable outcomes; disciplined backlog and release management in Linear

• Excellent…