Head of Engineering (Data & SWE)
Hilbert - San Francisco, California, United States
Posted Feb 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Head of Engineering (Data & SWE) San Francisco, California, United States The Mission: Build the Machine that Builds the Product At Hilbert's AI, we shorten "months" to "minutes." We build the AI Growth Engine that Fortune 500 enterprises and iconic B2C brands use to navigate their revenue drivers in real-time. We are at an inflection point. We are scaling from a "fast-response" early-stage team to a multi-department engineering organization (Data & Software Engineering as your department) of 20+ people across San Francisco and Istanbul . We are looking for an Engineering Leader to own the technical heart of Hilbert. You will lead the infrastructure and software that powers our engine, working in parallel with our AI/ML department to turn predictive models into production-grade enterprise outcomes. The Hard Problems: Scale, Systems, and the "Human Interface" This role will deliver more than managing people; it's about architecting an organization. You are the bridge between raw data, agentic AI, and the customer experience. Our Current Hurdles: - Multi-Deployment Architecture : Build once and ship consistently across our Cloud SaaS (ClickHouse), enterprise on-prem deployments, and warehouse-native zero-extract model, ensuring a unified experience for engineering and forward-deployed data teams. - The Distributed Engine: Our team is split between SF and Istanbul (an 11-hour gap) . You need to build a high-sync culture that thrives despite the distance, ensuring speed doesn't sacrifice quality. - Building the Roadmap from Scratch: We are in the process of hiring our first Product Managers and Customer Success teams. You will
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