AI Operations Associate
About the role
Remote (India) night-shift role focused on reviewing and guiding AI-generated scheduling actions for executive search coordination, with opportunities to shape playbooks and scale operations.
Responsibilities
- Review AI-generated scheduling actions before they reach top search firms and their C-suite candidates
- Make real-time judgment calls on ambiguous scenarios: tone for a CHRO, whether to reschedule, how to handle missing thread context
- Catch the subtle errors that matter: wrong time zones, misread intent, off-tone language, missing context from prior threads
- Surface patterns in AI behaviour to the founders and product team
- Take on adjacent operational projects as we scale, from client onboarding to internal process design
Qualifications
- Bachelors in English, BBA, etc from a Tier 1 University
- Big 4 or equivalent background preferred (EY, PwC, KPMG, Deloitte)
- Exceptional written English
- Sharp judgment under time pressure
- Sustained focus and reliability
- Generalist by instinct
- Ability to join in the next two weeks
Skills
Benefits
- 6-day paid work trial (as part of the interview process)
- On-the-job learning and rapid progression to management within two years
- Small team, collaborative culture, direct access to founders
- Monthly team lunches
- Opportunity to work with YC-funded startups and high-profile clients

About Vela
AI Agents For Complex Scheduling Coordination
We are building Vela, the AI scheduling assistant for the most complex interactions. Everyone assumes scheduling is a calendaring problem. It's not. It's a human nuance problem: knowing who to prioritize, how hard to push, and which dynamics to navigate. Vela understands these nuances, and every interaction deepens that understanding. Instead of manually calling, texting, and emailing hundreds of candidates across spreadsheets, today teams connect their system of record to Vela and it handles outreach, scheduling, and confirmation automatically with the nuances of industries and teams built in. Gobhanu and Saatvik are brothers who scaled a microfinance bank to 77 countries as kids. We previously built at AWS ML + SuperCompute and BCG AI.
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