Technical Chief of Staff - Product & Data

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.

Location: Berlin HQ (hybrid

)Relocation: Berlin relocation required (visa/relocation support available

)

WHAT YOU WILL

DO:
Data: sourcing & partners

• hipsDiscover and evaluate fundamental and alternative datasets together with investment analysts and portfolio mana
• gersOwn relationships with data vendors: onboarding, regular check-ins, awareness of schema changes, and renewals (in coordination with legal/complia
• nce)Maintain a structured overview of datasets, vendors, refresh frequencies, and dependen
• ciesCoordinate dataset evaluations with Quantitative Research and Engineering, covering data quality, feasibility, and operational comple
• xityIdentify and scope self-harvested data opportunities, including web scraping, together with investment analysts and engin

eers

Product: execution, alignment &

• impactTranslate investment and product intent into clear functional requirements and acceptance criteria for Engin
• eeringEnsure expectations around data freshness, reliability, and failure handling are explicit and unde

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• rstoodAct as a structured interface between investment analysts and technology teams, gathering feedback on workflows, usability, and data
• trustMeasure and track the impact and adoption of new products and features, using analyst feedback and usage s
• ignalsReduce ambiguity across stakeholders and help Engineering focus on the highest-impact pr
• oblemsSupport documentation, auditability, and governance requirements in collaboration with Engineering and Comp

liance
YOUR P

ROFILE:
Core requ

• irements3–6 years of experience in a role close to investment research, data, analytics, or product e
• xecutionPrior exposure to investing, financial markets, or investment
• researchExperience working with external data vendors, alternative data, or data-heavy
• productsComfort with SQL or Python for lightweight checks or exp
• lorationStrong curiosity about data, including a habit of understanding where raw data comes from and how value is created along the data val
• ue chainAbility to write clear, structured functional specifications and define acceptance
• criteriaComfortable collaborating with engineering and data science teams, without needing to design systems
• yourselfClear, structured thinking, and exceptional written communication and organizationa
• l skillsComfortable operating in an ambiguous, fast-moving env

ironment
Nic

• e to haveExperience in the investment, financial data, or alternative data
• ecosystemFamiliarity with modern data platforms (e.g. Databricks, Snowflake, cloud-based dat
• a stacks)Solid foundation on statistics, data modeling and ba

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• cktestingExperience with LLM workflows and agentic
• solutionsAdvanced user of AI solutions (AI coding, skills, MC

Ps, etc.)
Markers of

excellenceStrong candidates fulfill the

• following:A background that reflects intellectual rigor and high standards, whether through academic achievement, demanding roles, or entrepreneurial
• experienceExperience operating effectively in complex, data-driven environments where correctness and reliabilit
• y matteredA track record of owning ambiguous, cross-cutting problems and driving them to resolution without formal

authority
WH

• AT WE OFFERDirect exposure to investment decision-making and measurable busi
• ness impactWork with large-scale data and modern AI-driven researc
• h workflowsClose collaboration with senior leadership and experience
• d engineersFlat hierarchy, high responsibility, and a steep lea
• rning curveCompetitive compensation, relocation, and v

isa support

How to applyPlease include your resume and a short note

• describing:A data- or research-heavy initiative y
• ou worked onHow you coordinated between domain experts and techni
• cal teamsbitWhat attracted you to this role and