Technical Chief of Staff - Product & Data (Remote Support)

About the Role

We are looking for a Technical Chief of Staff - Product & Data to support product execution, data sourcing, and operational alignment across BIT Capital’s research and investment technology stack. This role is pivotal as you will act as the Chief of Staff to the Chief AI Officer, connecting investment analysts, quantitative researchers, and engineering teams. The focus is strongly operational and execution-oriented, ensuring that the right data is sourced, the right problems are clearly specified, and complex cross-team work is executed reliably and with clarity.

What You'll Do

• Discover and evaluate fundamental and alternative datasets together with investment analysts and portfolio managers.
• Own relationships with data vendors, including onboarding, regular check-ins, and awareness of schema changes.
• Maintain a structured overview of datasets, vendors, refresh frequencies, and dependencies.
• Coordinate dataset evaluations with Quantitative Research and Engineering, covering data quality, feasibility, and operational complexity.
• Act as a structured interface between investment analysts and technology teams, gathering feedback on workflows, usability, and data trust.
• Translate investment and product intent into clear functional requirements and acceptance criteria for Engineering.
• Measure and track the impact and adoption of new products and features, using analyst feedback and usage signals.
• Support documentation, auditability, and governance requirements in collaboration with Engineering and Compliance.

Requirements

• 3–6 years of experience in a role close to investment research, data, analytics, or product execution.
• Prior exposure to investing, financial markets, or investment research.
• Experience working with external data vendors, alternative data, or data-heavy products.
• Comfort with SQL or Python for lightweight checks or exploration.
• Strong curiosity about data and understanding where raw data comes from.
• Ability to write clear, structured functional specifications and define acceptance criteria.
• Exceptional written communication and organizational skills.
• Comfortable operating in an ambiguous, fast-moving environment.

Nice to Have

• Experience in the investment, financial data, or alternative data ecosystem.
• Familiarity with modern data platforms (e.g., Databricks, Snowflake).
• Solid foundation in statistics and data modeling.
• Experience with LLM workflows and agentic solutions.

What We Offer

• Direct exposure to investment decision-making and measurable business impact.
• Work with large-scale data and modern AI-driven research workflows.
• Close collaboration with senior leadership.
• Flat hierarchy, high responsibility, and a steep learning curve.
• Competitive compensation, relocation, and visa support.