AI Consultant
Gamma - San Francisco, California, United States
Posted Nov 7, 2025
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
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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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
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Where they hire
State eligibility is not yet verified.
About this role
AI Consultant San Francisco, California, United States About the role Gamma hit $100M ARR with fewer than 60 people. Now we're scaling - and we're building the recruiting team that makes it happen. You'll join as a founding member, partnering directly with our brilliant hiring leads who are ready to grow but need a real strategic partner, not just an executor. What we've built is rare. Your job is to help us do it bigger, without breaking what made it work. We are hiring three recruiters: two Technical and one Business/GTM. These are hands-on roles where you'll truly own your lane - full-cycle recruiting and building practical 0-1 structure. For each lane, we want SMEs who will still operate team-first and be willing to flex when priorities shift. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Own full-cycle recruiting for your primary lane (Engineering or Business), with a willingness to jump in elsewhere when the team needs support - Develop a strong understanding of Gamma's roles and priorities, and use it to drive compelling candidate conversations while delivering high-quality hires with speed and scale - Run sharp intakes: get specific on what “great” looks like, pressure-test the profile, and translate ambiguity into a clear search plan - Build and iterate 0 to 1 hiring structure (scorecards, interview
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