Dialpad
Lead Product Manager
San Ramon, US · Full-time
Sponsorship not specifiedDetected 4 days ago
RESTMachine LearningData EngineeringAgentic AIResearch
About the role
- It's a different job from the rest of platform and product engineering: research-driven, eval-heavy, and closer to training data and model behavior than to sprint boards.
Responsibilities
- Own the data strategy underneath it all: acquisition, consent and usage rights, sampling, and annotation.
- Sit inside eval reviews, error analyses, and incident retros as a peer. You should be able to look at a failing conversation trace and form your own hypothesis before the team tells you theirs.
- And what you don't own, so there's no bait-and-switch: modeling and architecture choices belong to the engineers and researchers making them, and research bets and headcount are set with you, not by you.
- the leading labs deliberately sunset models to concentrate effort, and we'd rather run a few models well than maintain a legacy model zoo.
Requirements
- A hands-on track record with models themselves.
- Our core work is custom SLMs, ASR, and the inference infrastructure behind them, so experience with speech or with models under real-time constraints counts double.
- A CS/ML degree alone doesn't count
- 2+ years of product ownership, formally titled or not.
- Opinions you can defend to someone who does this full-time.
- You can commit to outcomes without pretending the uncertainty away.
Nice to have
- Speech experience specifically: training or productionizing ASR/TTS, telephony, streaming latency work.
- You've built training data pipelines or run labeling operations - sourcing, sampling, annotation quality, data rights.
- You've run inference infrastructure at scale - GPU capacity planning, serving optimization, cost-per-call tuning.
- You've built or run an eval harness in production, not just read about them.
- Experience pricing or packaging AI products.
- research-driven, eval-heavy, and closer to training data and model behavior than to sprint boards.
- The standard PM toolkit doesn't cover it.
- This is not a role you can do at the API-orchestration level.
Skills
- About Dialpad
- Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital.
- Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve.
- Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
- Being a Dialer
- At Dialpad, AI isn't just a feature; it's how our teams do their best work every day.
Benefits
- Retirement is a real part of that: the leading labs deliberately sunset models to concentrate effort, and we'd rather run a few models well than maintain a legacy model zoo.
Company info
- Treat internal teams as customers.
Apply directly at Dialpad →Create a free account for alerts like thisView Dialpad immigration profile
This listing is sourced directly from Dialpad's careers page and normalized into a canonical job model.