turbopuffer is looking for an executive assistant to support our CTO and handle ops in our NYC hub. We're scaling fast and need someone who can take the operational load off his plate. We are looking for someone based in NYC to work hybrid in our office downtown with occasional travel to Ottawa and SF.
what you'll do:
run point on the CTO's calendar, travel, and inbox
manage a high volume schedule across time zones and competing priorities
plan travel end-to-end: flights, hotels, ground, and itineraries
triage his inbox so nothing important slips by
partner with the CEO's EA on cross company work
evolve new hire onboarding process
plan events like customer dinners and company offsites
manage ops for the NYC office
must have:
coordination
you've worked as an EA, chief of staff, or in a similar operations role
you've managed calendars, inboxes, and travel for senior people at high volume
you can juggle multiple senior stakeholders and competing priorities without dropping the ball
judgment: you catch the things others miss
operator: you see the gap and fill it, no task is too small
typist: you write well and can represent the CTO clearly in any thread
human: you build trust quickly
nice to have:
prior experience supporting a technical founder or engineering leader
experience at an early stage startup
tpuf is hardcore & whimsical. we value:
overstep > understep
show > tell
complexity is earned
showing up as part of our customer’s team
making stuff easy to react to
Skills Required
- Experience as an EA, chief of staff, or similar operations role
- Ability to manage calendars, inboxes, and travel for senior personnel
- Strong judgment and attention to detail
- Excellent typing and writing skills
- Ability to build trust quickly
What We Do
turbopuffer is a serverless search engine that combines vector and full-text search using object storage. It is designed to make large amounts of data searchable for AI applications, offering high scalability, performance, and cost-efficiency by separating compute and storage. It serves as a critical infrastructure layer for companies needing to retrieve context for AI models, handling billions of documents with low latency.
.png){kind=logo}
