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

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 in ensuring that the right data is sourced and that complex cross-team work is executed reliably and with clarity. As a Technical Chief of Staff, you will act as a connector between investment analysts, quantitative researchers, and engineering teams, focusing on operational and execution-oriented tasks.

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.
• Translate investment and product intent into clear functional requirements and acceptance criteria for Engineering.
• Act as a structured interface between investment analysts and technology teams, gathering feedback on workflows, usability, and data trust.
• 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 of the data value chain.
• 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, data modeling, and backtesting.
• Experience with LLM workflows and AI 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 and experienced engineers.
• Flat hierarchy, high responsibility, and a steep learning curve.
• Competitive compensation, relocation, and visa support.