Partner 16, Data Engineer - Global Partnerships

a16z; Menlo Park (CA); On-site; USD 269,000 - 314,000; Full time

Benefits offered by this job

Health

Dental

Vision

Disability

Life insurance

401K plan

Vacation

Sick leave

Carry program

Discretionary bonus programs

Job summary

a16z in Menlo Park, CA, seeks a Data Engineer to own and advance the Global Partnerships data ecosystem onsite. You will lead core datasets, data pipelines, and automation, partnering with teams to design scalable infrastructure and reliable workflows.

The role emphasizes strong writing, cross-functional collaboration, and experience building data pipelines. Onsite in the Bay Area, compensation reflects senior data engineering responsibilities.

Qualifications

• Minimum 5 years of experience in data analytics or data engineering.
• Bachelor’s degree in a technical field preferred but not required.
• Strong writing and communication skills with attention to detail.

Responsibilities

• Lead ownership of Global Partnerships data core datasets and pipelines.
• Design and maintain scalable data infrastructure and reliable pipelines.
• Reduce manual work through improved pipelines and automation.
• Monitor data accuracy across platforms and rectify discrepancies.
• Build visualizations and quantitative analyses for portfolio and performance.

Skills

Python

Javascript

Education

Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field

Job description

Own and advance global partnerships data infrastructure and automation in Menlo Park, CA.

Responsibilities

• Lead ownership of critical systems, including Global Partnerships core datasets and data pipelines
• Serve as a technical and strategic thought partner on data practices, automation, and scalable process design across Global Partnerships and adjacent teams
• Design and maintain scalable data infrastructure and reliable pipelines connecting Global Partnerships systems
• Reduce manual work and error rates through improved pipelines and process design
• 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 remove manual work, then drive adoption through training, documentation, and change management
• Lead automation, process development, and operational scale to improve accuracy, reliability, and speed
• Act as the team’s AI thought partner by staying current on emerging tools and translating them into concrete, high-leverage improvements to LP-facing and internal processes
• Build visualizations and quantitative analyses for fund and investment performance, including projected exit scenarios and liquidity or follow-on decisions
• Develop fluency with the firm’s portfolio company information database and manipulate/analyze data from the system to draw insights
• Refine and calibrate portfolio performance analyses to keep insights current and relevant

Requirements

• Minimum 5 years of experience; data analytics or data engineering experience is preferable
• Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred (not required)
• Strong attention to detail and critical thinking for written prose and charts, tables, and spreadsheets
• Ability to stay on top of changing data or facts across multiple documents
• Strong writing skills and ability to communicate effectively in writing
• Demonstrated experience building and maintaining data workflows, automations, or integrations using Python, Javascript, or a comparable programming language
• Proven ability to lead ambiguous, cross-functional projects with autonomy and stakeholder influence across technical and business teams
• Experience owning or administering complex data pipelines or another critical business system with focus on data completeness, governance, and integration
• Low ego, high empathy, and collaboration effectiveness across diverse teams

Technologies

• Python
• Javascript

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

Role details

• Global Partnerships Data Engineer owns and advances critical data infrastructure, systems, and automation supporting global partnerships activities
• Works independently, leads complex cross-functional initiatives, and serves as a technical and strategic thought partner across Global Partnerships and adjacent teams
• Translates ambiguous business needs into scalable systems, reliable pipelines, and practical insights

Compensation and location

• Location: Menlo Park, CA (onsite); open to candidates based in the San Francisco Bay Area
• Salary: USD 269,000 - 314,000 per year
• Actual starting pay may vary based on experience, skills, and scope

How you work (join expectations)

• Own and advance the Global Partnerships data ecosystem
• Champion AI adoption across Global Partnerships
• Leverage data to enable practical insights on portfolio and the industry

To join our team, you should be excited to

• Take ownership of data and automation work
• Drive AI adoption and translate tools into team-wide improvements
• Use analytics for portfolio and industry insights

Culture

• Do only first class business and only in a first class way
• Take a long view of relationships
• Believe in the future and bet the firm that way
• Recognize differences and win
• Celebrate the good times
• Do it for the team
• Play to win