Head of Data

AngelListSan Francisco, CA
Hybrid

About The Position

AngelList is seeking a Head of Data to leverage the company's extensive data as a strategic advantage. The role involves leading a small, senior team to tackle complex questions related to marketplace dynamics, customer LTV/CAC, attribution, and incrementality. The company has established a reliable data platform and is looking for someone to build upon this foundation with advanced analytics, experimentation, and trusted forecasting. This is a player-coach role requiring both strategic leadership and hands-on data analysis.

Requirements

  • 8+ years in data science, decision science, or growth analytics, with hands-on practitioner experience.
  • At least 2 years of experience leading teams.
  • Deep expertise in attribution, causal inference, experimentation, LTV / CAC, segmentation, forecasting, and marketplace measurement.
  • Demonstrated success in these areas, not just aspirational.
  • Strong Python and SQL skills.
  • Experience building models and strong opinions on how to do so.
  • Track record of influencing executive decisions through analysis.
  • Exceptional written communication skills.
  • Maturity with platform layer, capable of making good architectural calls and respecting engineers' work.
  • Genuine appetite for a player-coach role, willing to write SQL.

Nice To Haves

  • Marketplace, fintech, or financial services background.

Responsibilities

  • Own attribution, incrementality, LTV / CAC, customer segmentation, forecasting, and experimentation across business units.
  • Set and defend methodologies, improving them based on learnings.
  • Build the analytical view of how business units reinforce each other and identify investments to accelerate this flywheel.
  • Make running good experiments the default for product, marketing, and growth, supported by infrastructure and review processes.
  • Manage and grow a data team, initially composed of three individuals with expertise in data engineering and analytics.
  • Make architectural decisions for the data platform and ensure it scales with demands.
  • Partner with executives (CFO, CEO, GMs) on capital allocation and go-to-market decisions.
  • Personally contribute to the work and shape the direction of the team.

Benefits

  • Competitive base salary
  • Benefits package
  • Equity package
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