YOUR ROLE
We are looking for a hands-on Senior Product Manager (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.
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 material, measurable impact on alpha generation across our funds. This is a technical product role: the majority of your work will focus on data pipelines, while also shaping user experiences and front-end workflows to deliver these insights. You’ll also contribute to portfolio analytics and compliance workflows and, over time, support internal tools for Sales/Marketing/Operations and client-facing experiences. Initially, you will coordinate the product management function for a team of 5+ engineers, with the expectation to grow into coordinating the work of the data science and AI engineering teams.
Success is measured by improvements in research productivity and time-to-insight, and a demonstrable positive impact on fund performance.
Key responsibilities: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.
Build the product function: Coordinate PM for a team of 5+ engineers; mentor junior PMs; as we scale, expand coordination to Data Science and AI Engineering and help shape hiring, rituals, and standards.