CRM Voice AI builds autonomous voice agents for customer service that resolve customer interactions end-to-end and drive significant value for the business. Backed by Greylock and Sequoia.
About the role
Every PM on this team runs at least one pod directly and has visibility across others. You're in the customer's world - on their calls, in their systems, solving their problems - while simultaneously shaping what the product becomes. The learnings from your pods feed directly into the platform roadmap and into repeatable, productized assets that scale beyond any single customer.
What they're looking for
- 12+ years of product management experience, with recent hands-on work shipping voice AI or conversational AI products. What you've shipped in the last 12-18 months matters more than total years
- Fluency with the voice stack: ASR, TTS, streaming pipelines, latency optimization, endpointing, barge-in, turn-taking. You've made real tradeoff decisions here, not just evaluated vendor demos
- Experience with telephony integration: SIP, call transfers, IVR systems, or CCaaS platforms
- Experience working directly with enterprise customers on technical deployments - not from a distance, but in their environment, on their calls, solving their problems
- Strong opinions on what makes a voice conversation feel human, backed by experience building or evaluating conversational systems
- Technical depth in LLM orchestration for real-time conversational use cases
More about this role
We work in pods - small, dedicated teams embedded with a single enterprise customer, building their voice agents from first call to self-sufficiency. A pod owns the full lifecycle: agent shadowing, conversation design, build, production go-live, and the handoff that makes the customer self-sufficient so the pod can move on to the next one. Each pod pairs forward-deployed engineers with a product manager who owns both the customer outcome and the product learning that comes from it.
Every PM on this team runs at least one pod directly and has visibility across others. You're in the customer's world - on their calls, in their systems, solving their problems - while simultaneously shaping what the product becomes. The learnings from your pods feed directly into the platform roadmap and into repeatable, productized assets that scale beyond any single customer.
- You run one pod directly - one of our most complex customer engagements - and float across two others, providing product direction and unblocking teams. But the pod work is only half the job.
- Your primary technical focus is the conversational experience itself: dialog quality, turn-taking, interruption handling, barge-in...
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