Chief of Staff
Prox - San Francisco, CA | OnSite
Posted Jun 10, 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
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
Matched to SOC 11-1021 - Operations 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
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Chief of Staff San Francisco, CA | OnSite Prox https://www.linkedin.com/company/prox-inc/ builds AI technical support for complex physical products (think power tools, powersports equipment, agriculture, heavy machinery -- anything that requires an installation guide or complex manuals). backed by Y Combinator, Bloomberg Beta, Paul Graham, SV Angel, Burst Capital and many more. INTRO TO THE ROLE We run the company out of a git-based knowledge graph. Every customer meeting note. Every investor and vendor conversation. Our writing style, our voice, icp, our positioning. Product ideas, platform new features and roadmap decisions. Marketing campaigns, LinkedIn content, outreach sequences, conference pipeline. Structured, linked, versioned, with an agent layer on top that reads, writes, syncs, and briefs and completes tasks. This is what we build for our customers: take everything a company knows about its products -- manuals, specs, forum threads, support history -- and make it queryable by an AI that never forgets and never sleeps. We do the exact same thing for ourselves. The person we're looking for has a specific character flaw: they cannot do the same thing twice without immediately wanting to eliminate the second time it happens. Not from the laziness, but because repetition feels like a design failure. They think like a hacker. Every system has a seam, and if you find it, you can usually make 10x the impact with a fraction of the effort. They don't ask permission to automate. They notice the pattern and close it. But they have taste. Output that looks like AI
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