Executive Assistant
San Francisco, CA$130k - $180kFull-timePosted 2w ago
About the role
Executive Assistant role supporting idler's co-founders with hospitality, logistics, and discretion-focused executive support in an in-person San Francisco setting.
Responsibilities
- Plan travel for the co-founders and the team — book flights, hotels, and ground transport, with proactive contingency plans when disruptions occur.
- Run the moments that matter — plan team dinners, offsites, onboardings, and hosted meals including venue, catering, setup, and cleanup.
- Host candidates and visitors — build onsite schedules, book hotel, order meals, and warmly greet guests.
- Remember people — track what candidates, teammates, and partners care about and send thoughtful gestures (e.g., books, thank-you notes).
- Look after the office and the vendors behind it — manage snacks, coffee, supplies, and equipment readiness for new hires; negotiate with caterers, venues, and suppliers within budget.
- Take on weekly priorities — handle dinner reservations and expense reports for founders, urgent events, and office rearrangements.
- Build systems rather than one-off solutions — document workflows to improve future events, onsite experiences, and new hire onboarding.
Qualifications
- Two or more years supporting an executive, founder, or small team, or running event or hospitality operations.
- Experience managing a budget and negotiating with vendors.
- Clear, warm writing for communications with candidates, guests, and vendors.
- A system for tracking commitments.
Skills
Required:Executive supportBudget managementVendor negotiationsWritten communication
Benefits
- Free meals in office
- Healthcare
- 401(k)
- 15 days of PTO per year
- Relocation assistance
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Idler
Scale AI for reinforcement learning environments.
Idler builds reinforcement learning environments that teach AI models to code at expert human levels. We create training environments based on real-world coding scenarios that prepare models for the complex challenges they'll face in production.
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