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Head of Engineering Equity at Heavybit and Uncork Capital-backed cloud financia

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-11
Job specializations:
  • Software Development
    Software Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Head of Engineering ($200k-$250k + Equity) at Heavybit and Uncork Capital-backed cloud financia[...]

Job Title

Head of Engineering

Location

San Francisco, USA

Salary

$200k-$250k + Equity

Company Description

Heavybit and Uncork Capital-backed cloud financial data platform

Job Description

Own the architecture and execution of a cloud financial data platform processing hundreds of millions of rows monthly. As the technical leader of a seed‑stage team, you will ship code daily while scaling a high‑performance engineering culture to solve complex data cardinality and multi‑cloud billing challenges for Fortune 500 enterprises.

Why this role is remarkable
  • Significant market leverage with $7.75M in fresh funding and a built‑in audience of 35,000 AWS community members and Fortune 100 relationships.
  • Unique hybrid model where seven years of domain‑leading consulting insights fuel the product roadmap for a $47B total addressable market.
  • High‑autonomy builder role where you define the technical standards and grow the team from the ground floor in a high‑transparency, no‑politics environment.
What You Will Do
  • Lead daily shipping and set a high‑velocity pace by personally contributing to the codebase and removing architectural or process bottlenecks.
  • Design and evolve a robust data infrastructure using Python, Click House, and Airflow capable of 50x growth in data volume and complexity.
  • Recruit and mentor a world‑class engineering team, fostering a culture of excellence where engineers do the best work of their careers.
Ideal Candidate
  • Proven track record as a Director, VP, or founder who thrives in seed‑stage ambiguity and remains a hands‑on technical contributor.
  • Deep expertise in data infrastructure, large‑scale ETL/ELT pipelines, and managing complex datasets with near‑unbounded cardinality.
  • Enthusiastic about AI‑assisted development and building product‑focused engineering teams rather than purely infrastructure or operations‑focused organizations.
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