Founding Operations
About Deeptune
Deeptune builds training gyms for AI agents. We work with frontier AI labs to help them train the next generation of agentic models.
We’ve raised $5M+ with a world-class founding team. In our first 6 months, we’ve reached 7-figure ARR, and in the next 6 months, we plan to grow by 10x.
training gym n /ˈtreɪnɪŋ dʒɪm/
A simulation environment where AI can practice doing tasks (like coding or making a spreadsheet) so it can learn and get better over time.What you’ll do
Build and own end-to-end operations for our data team, ensuring work is delivered with speed, quality, and reliability.
Lead and manage a mix of contractors and vendors, guiding the growth and performance of a rapidly growing team.
Act as a thought partner to the rest of the team on how we evolve and scale our data capabilities in service of the company’s broader strategy.
About you
You’re a data-driven operator who can easily switch between building for the future and getting in the weeds to execute on today’s needs.
You’ve been on a founding team, founded your own company, or had a major impact at a top-tier company, and you’re ready to join an early-stage team. We care more about what you’ve done, not how long you’ve been doing it.
You are motivated by ownership, impact, and building frontier tech.
Your work is a craft you want to master.
You thrive in ambiguity and love hard problems.
You appreciate diverse perspectives and uncommon ideas.
You are excited about building in-person, 5 days a week, from our office in Union Square, and are comfortable with 50-60-hour weeks.
We encourage you to apply even if you don’t perfectly match this description, but believe you would be a great fit.
Benefits
100% paid medical and dental coverage
Professional development budget
Daily team lunches
Commuter benefits
Unlimited PTO
Interview process
Reach out and let us know why you’re interested.
Intro call with Chris, our Chief of Staff
Follow-up call to learn more about your experience
Coffee with Tim, our founder
Join us onsite for a deep dive into your background and lunch with the team
References
Offer!
Average salary estimate
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