Partner 16, Data Engineer - Global Partnerships
Job Description
The Global Partnerships Data Engineer will build and advance data infrastructure, systems, and automation that support Andreessen Horowitz (a16z) Global Partnerships activities. This role operates independently, leads cross-functional initiatives, and turns ambiguous business needs into scalable pipelines and usable insights.
Responsibilities
- Own critical systems, including Global Partnerships core datasets and data pipelines, and act as a technical and strategic thought partner to Global Partnerships and adjacent teams on data practices, automation, and scalable process design
- Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates
- Maintain high standards of data precision by monitoring and rectifying discrepancies across different platforms
- Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making
- Identify, pilot, and scale AI tools and agentic workflows that reduce manual effort, then support adoption through training, documentation, and change management
- Lead automation and process development to increase operational scale, improving data accuracy, reliability, and speed
- Serve as an AI thought partner by staying current on emerging tools and translating them into practical, high-leverage improvements for LP-facing and internal processes
- Build visualizations and quantitative analyses covering fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions
- Develop fluency with the firm’s portfolio company information database and manipulate and analyze data from the system to generate insights
- Refine and calibrate portfolio performance analyses to keep them current and relevant
Requirements
- Minimum 5 years of experience; past experience may include data analytics or data engineering
- Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required
- Strong attention to detail for written prose as well as charts, tables, and spreadsheets, with the ability to stay aligned with changing data and facts across multiple documents
- Strong writing skills and the ability to communicate effectively in writing
- Demonstrated experience building and maintaining data workflows, automations, or integrations using tools such as Python, JavaScript, or a comparable programming language
- Proven ability to lead ambiguous cross-functional projects with substantial autonomy and influence stakeholders across technical and business teams
- Experience owning or administering complex data pipelines or another critical business system, with emphasis on completeness, governance, and integration
- Low ego and high empathy, with strong collaboration skills across diverse teams
Technologies
- Python
- Javascript
Compensation
The anticipated salary range is USD 269,000 - 314,000 per year. Actual starting pay may vary based on factors including experience, skills, and scope.
Benefits
- Eligible to participate in the a16z carry program
- Eligible to participate in various discretionary bonus programs
- Health
- Dental
- Vision
- Disability
- Life insurance
- 401K plan
- Vacation
- Sick leave
Location
- Menlo Park, CA (onsite)
- Open to candidates based in the San Francisco Bay Area
Role Context
The Global Partnerships Data Engineer will own and advance critical data infrastructure, systems, and automation that support a16z’s Global Partnerships activities. The position includes significant independence, complex cross-functional coordination, and serving as a technical and strategic thought partner across Global Partnerships and adjacent teams.
To Join Our Team
- Own and advance the Global Partnerships data ecosystem
- Champion AI adoption across Global Partnerships
- Use data to enable practical insights for the portfolio and the industry
Ideal Candidate Profile
- Demonstrates urgency and professional responsiveness, treating speed as a form of client service
- Adapts quickly to unforeseen developments while maintaining attention to detail and quality
- Asks additional questions upfront to avoid oversights and prefers careful, precise execution
- Acts as an enabler who seeks maximum leverage for the team and is comfortable across a range of tasks
- Delivers commitments on agreed timelines
- Continually looks for new ideas and improvements
- Works as a dedicated team player and is willing to wear multiple hats
- Takes work seriously while maintaining an appropriate perspective
- Anticipates business needs, takes ownership proactively, and designs solutions for scale
- Can break down complex processes, identify high-leverage improvements, and guide teams through change
- Is a trusted partner and emerging leader whom peers consult on data practices, systems, and efficiency
a16z Culture
- We do only first class business and only in a first class way
- We take a long view of relationships, because we are in the relationship business
- We believe in the future and bet the firm that way
- We are all different, we recognize that, and we win
- We celebrate the good times
- We do it for the team
- We play to win