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Technical Chief of Staff – Product & Data(m/w/x)
Description
As a bridge between investment and technology teams, you will drive operational excellence by sourcing critical data and translating complex research needs into clear, actionable requirements.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3–6 years of experience in investment research, data, or analytics
- •Exposure to investing, financial markets, or investment research
- •Experience with external data vendors or data-heavy products
- •Comfort with SQL or Python for data exploration
- •Strong curiosity about data and data value chains
- •Ability to write functional specifications and acceptance criteria
- •Collaboration skills with engineering and data science teams
- •Structured thinking and exceptional written communication skills
- •Comfort operating in ambiguous, fast-moving environments
- •Experience in investment, financial, or alternative data ecosystems
- •Familiarity with modern data platforms or cloud-based stacks
- •Solid foundation on statistics, data modeling and backtesting
- •Experience with LLM workflows and agentic solutions
- •Advanced user of AI solutions and MCPs
- •Passion for AI, emerging technologies, and investing
- •Proactive, entrepreneurial mindset and transparency
- •5-7 years of professional experience
Education
Work Experience
3 - 6 years
Tasks
- •Evaluate fundamental and alternative datasets with analysts
- •Manage data vendor relationships and renewals
- •Maintain structured overviews of dataset dependencies
- •Coordinate dataset evaluations with research and engineering
- •Scope web scraping and self-harvested data opportunities
- •Translate investment intent into clear functional requirements
- •Define expectations for data reliability and freshness
- •Gather feedback on workflows and data trust
- •Track product impact and adoption through usage signals
- •Reduce stakeholder ambiguity to focus engineering efforts
- •Support documentation and governance with compliance teams
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation
Other Benefits
- •Relocation support
- •Visa support
- •Modern AI-driven research workflows
Startup Environment
- •Investment decision-making exposure
- •Senior leadership collaboration
Purpose-Driven Work
- •Measurable business impact
- •High responsibility
Informal Culture
- •Flat hierarchy
Learning & Development
- •Steep learning curve
- ApherisFull-timeWith HomeofficeExperiencedBerlin
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Technical Chief of Staff – Product & Data(m/w/x)
The AI Job Search Engine
Description
As a bridge between investment and technology teams, you will drive operational excellence by sourcing critical data and translating complex research needs into clear, actionable requirements.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3–6 years of experience in investment research, data, or analytics
- •Exposure to investing, financial markets, or investment research
- •Experience with external data vendors or data-heavy products
- •Comfort with SQL or Python for data exploration
- •Strong curiosity about data and data value chains
- •Ability to write functional specifications and acceptance criteria
- •Collaboration skills with engineering and data science teams
- •Structured thinking and exceptional written communication skills
- •Comfort operating in ambiguous, fast-moving environments
- •Experience in investment, financial, or alternative data ecosystems
- •Familiarity with modern data platforms or cloud-based stacks
- •Solid foundation on statistics, data modeling and backtesting
- •Experience with LLM workflows and agentic solutions
- •Advanced user of AI solutions and MCPs
- •Passion for AI, emerging technologies, and investing
- •Proactive, entrepreneurial mindset and transparency
- •5-7 years of professional experience
Education
Work Experience
3 - 6 years
Tasks
- •Evaluate fundamental and alternative datasets with analysts
- •Manage data vendor relationships and renewals
- •Maintain structured overviews of dataset dependencies
- •Coordinate dataset evaluations with research and engineering
- •Scope web scraping and self-harvested data opportunities
- •Translate investment intent into clear functional requirements
- •Define expectations for data reliability and freshness
- •Gather feedback on workflows and data trust
- •Track product impact and adoption through usage signals
- •Reduce stakeholder ambiguity to focus engineering efforts
- •Support documentation and governance with compliance teams
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation
Other Benefits
- •Relocation support
- •Visa support
- •Modern AI-driven research workflows
Startup Environment
- •Investment decision-making exposure
- •Senior leadership collaboration
Purpose-Driven Work
- •Measurable business impact
- •High responsibility
Informal Culture
- •Flat hierarchy
Learning & Development
- •Steep learning curve
About the Company
BIT Capital
Industry
FinancialServices
Description
The company combines asset management expertise with technology agility, enabling investors to participate in future growth.
- Apheris
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Full-timeWith HomeofficeExperiencedBerlin - Synthflow AI
Technical Product Manager(m/w/x)
Full-timeRemoteExperiencedBerlin - 1KOMMA5°
Chief of Staff – Product(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Hamburg, München