Engineering Manager
Quanta Services - San Francisco, CA
Posted Apr 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Engineering Manager San Francisco, CA Quanta Quanta is an AI-powered finance platform built for fast-growing companies. Every company relies on accounting as its source of truth, but the tools today are manual, fragmented, and not designed for how modern businesses operate. We're building the system of record for finance - one that owns the data layer and uses AI to automate and abstract away the operational burden. The result is a real-time, intelligent financial backbone that goes far beyond traditional accounting software. Many of today's fastest-growing startups - Decagon, Braintrust, Browserbase, Mintlify - rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context needed to
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