/roles — ROLE_289
Product Operations Lead
Small, well-backed consumer AI team in New York running a media-tracking app with millions of users
The role
- COMP
- $100K - $180K
- EQUITY
- Competitive equity
- LOCATION
- New York
- WORKPLACE
- On-site
- EXPERIENCE
- 3 - 7 years
- VISA
- None, Visa transfers
- STACK
- Swift, Kotlin, TypeScript, PostgreSQL, Snowflake, Cloudflare, AWS, Amplitude, Grafana, Zendesk
- INDUSTRY
- AI, Consumer
The company
Consumer AI company, part research lab and part product studio, behind an app that millions of people use to log and make sense of the content they consume.
- STAGE
- Series A-stage
- FUNDING
- $20M+ raised
- TEAM
- ~15 people
- FOUNDED
- 2021
- BACKING
- VC-backed
JD — the work
About the role
The consumer app at the heart of this company now serves millions of people and has become a complex system, so the team spanning product, engineering and design needs an operator who keeps releases organized and quick. You would add just enough structure for designers to concentrate on craft, engineers on delivery, and leaders on the biggest calls. It is a hands-on, execution-focused job rather than a product vision seat, with room to grow into leading operations more broadly over time.
What you'll do
- Lead sprint planning for product, engineering and design, and keep the backlog continuously groomed and current
- Facilitate team rituals so every decision has a clear owner and actually gets followed through
- Coordinate releases end to end, from QA sign-off and launch checklists to updates across teams
- Catch coordination gaps, fuzzy ownership, stalled decisions and bottlenecks early, before they become costly
- Tell apart decisions that are truly open from ones that are simply being avoided
- Oversee support operations and contractors, keeping intake and routing clean and feeding recurring issues back to product and engineering
- Use AI to cut admin work, keep shared docs current, and automate so a lean team achieves far more
What they're looking for
- Around 3 to 7 years of experience in a comparable operations role
- Excellent at running meetings and working closely with many teams, with a roll-up-your-sleeves approach
- A bias toward lighter process that still makes delivery more reliable
- Fluency with AI tools and an appetite for automating routine work
- Able to work in person every day in New York