YOUR 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.
In this role, you will be Chief of Staff to the Chief AI Officer and act as a connector between 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.
This role is focused on execution, clarity, and operational leverage rather than owning a traditional product roadmap. You will operate at the functional level — translating investment and research needs into clear requirements, coordinating stakeholders, and ensuring follow-through in a highly data-driven environment, as well as supporting selected strategic initiatives.
Location: Berlin HQ (hybrid)
Relocation: Berlin relocation required (visa/relocation support available)
What you will do:
Data: sourcing & partnerships
Discover and evaluate fundamental and alternative datasets together with investment analysts and portfolio managers
Own relationships with data vendors: onboarding, regular check-ins, awareness of schema changes, and renewals (in coordination with legal/compliance)
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
Identify and scope self-harvested data opportunities, including web scraping, together with investment analysts and engineers
Product: execution, alignment & impact
Translate investment and product intent into clear functional requirements and acceptance criteria for Engineering, including expectations around data freshness, reliability, and failure handling
Act as a structured interface between investment analysts and technology teams, gathering feedback on workflows, usability, and data trust, and reducing ambiguity across stakeholders
Measure and track the impact and adoption of new products and features using analyst feedback and usage signals, helping Engineering focus on the highest-impact problems
Support documentation, auditability, and governance requirements in collaboration with Engineering and Compliance
Support selected strategic initiatives led by the Chief AI Officer by structuring problems, coordinating stakeholders, and driving execution
YOUR PROFILE
Core requirements
3–6 years of relevant experience in data analytics, technical consulting, product execution, or a role close to investment research
Financial & Market Literacy: You possess a solid grasp of how equity markets function and how businesses are analyzed. You can "speak the language" of investors and distinguish between raw data and investment signals
Translating ambiguity into specs: Ability to write clear functional specifications and define acceptance criteria for engineering teams based on high-level business intent
Data fluency: Comfort with SQL or Python for lightweight checks and a strong habit of investigating where raw data comes from
Vendor & data product experience: Experience working with external data vendors, alternative data, or complex data-heavy products
Technical collaboration: Comfortable interfacing with engineering and data science teams to unblock execution, without needing to design systems yourself
Clear, structured thinking: Exceptional written communication and organizational skills
Adaptability: Comfortable operating in an ambiguous, fast-moving environment where priorities can shift based on market opportunities
Nice to have
Professional track record in the industry: Previous experience at an investment management firm, a financial/alternative data vendor, or within a quantitative research function
Modern data stack familiarity: Experience with platforms such as Databricks, Snowflake, and public clouds
Quantitative foundation: A solid understanding of statistics, data modeling, and backtesting concepts
AI fluency: Experience with LLM workflows and integrations, and modern agentic solutions (AI coding, skills, MCPs, etc.).
Markers of excellence
Strong candidates fulfill the following:
A background that reflects intellectual rigor and high standards, whether through academic achievement, demanding roles, or entrepreneurial experience
Experience operating effectively in complex, data-driven environments where correctness and reliability mattered
A track record of owning ambiguous, cross-cutting problems and driving them to resolution without formal authority
YOUR MINDSET
You are passionate about AI, emerging technologies, and investing — and about building products that drive very high business impact. You are proactive, entrepreneurial, and thrive in a transparent environment.
OUR BENEFITS
- 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
How to apply for this position
Please include your resume and a short note describing:
A data- or research-heavy initiative you worked on
How you coordinated between domain experts and technical teams
What attracted you to this role and to investing
About us
BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve" - anticipating technology megatrends and identifying the major investment opportunities of the future before they emerge. The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors. The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers. The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe.
