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About the role
We built the company on a simple idea: the best way to grow is to have a reference list as long as your customer list. We're a team of 100+ now, with offices in NYC, LA, and the UK. Many people here will tell you it's the best place they've worked and the hardest they've worked. Both are true. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of experience in product, forward deployed engineering, solutions engineering, or as a technical founder, with recent work where you personally built and shipped
- You’ve owned products where success depended on getting system behavior right: AI agents, voice, LLM products, automation, integrations, or enterprise workflow software
- Equally credible with clients and engineers, no one needs to translate for you in either direction
- Hands on and technical: comfortable with SQL, APIs, data, and prototyping tools, and you default to doing over coordinating
- You think in outcomes (revenue, retention, efficiency), not roadmaps shipped
- You have stories where you went from problem to working prototype in hours or days, and from there to production
More about this role
TITLE: Staff Product Manager
REPORTING TO: CTO
There are 3 runaway categories in B2B AI — coding, legal, and customer support. We're at the center of the third, with a one-of-one market position and hundreds of diehard fan clients, from Under Armour to Tory Burch to some of the largest healthcare institutions in the country.
The market is dividing into two camps: generic tooling-and-FDE players building custom agents from scratch, and industry-specific solutions winning on client love due to speed of ROI. We're firmly the latter. Retail and healthcare alone represent $5B+ TAMs each, and we're still early.
We built the company on a simple idea: the best way to grow is to have a reference list as long as your customer list. We're a team of 100+ now, with offices in NYC, LA, and the UK. Many people here will tell you it's the best place they've worked and the hardest they've worked. Both are true.
- Automating complex customer calls (subscriptions, billing, healthcare workflows)
- Designing AI agent behavior in ambiguous, multi-turn conversations
- Building systems that combine voice, AI, APIs, integrations, and real time decisioning
- Moving client outcomes: automation rate,...
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