Product Manager, Voice
Confirmed live in the last 24 hours
Sierra AI
Job Description
About us
At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
About the role
We’re looking for a Product Manager for Voice: real-time, human-quality AI conversations.
Voice is one of the most demanding and important surfaces for AI agents. It requires low latency, high reliability, natural turn-taking, and the ability to handle messy, real-world interactions across phone systems and global customers.
As PM for Voice, you will define how Sierra agents sound, respond, and behave in live conversations. You’ll shape the core voice experience—from first utterance → dialogue → resolution—and ensure agents perform reliably in production across telephony and real-time systems.
This is a zero-to-one and scaling role at the intersection of speech, infrastructure, and product experience.
What you'll do
Define the voice interaction model - Shape how agents handle real-time conversations—turn-taking, interruptions, latency, tone, and recovery from errors. Design what “human-quality” voice interaction actually means in practice.
Build reliable real-time systems - Work closely with engineering on streaming architectures, latency budgets, and failure handling. Voice is unforgiving—ensure agents respond quickly and consistently in production environments.
Own the voice stack experience - Partner across ASR, TTS, LLMs, and telephony integrations to deliver a cohesive product. Help decide model choices, orchestration strategies, and how different components work together.
Make voice measurable and improvable - Define how we evaluate voice agents: latency, interruption handling, resolution rate, and conversation quality. Build feedback loops that improve performance over time.
Translate real-world usage into product direction - Work closely with customers deploying voice agents in production. Understand edge cases (noisy environments, accents, call flows) and turn them into product improvements.
What you'll bring
3+ years of product management experience, with meaningful exposure to real-time systems, voice, or AI products
Experience shipping voice or real-time products - You understand the constraints of latency, streaming systems, and user expectations in synchronous interactions
Strong technical depth - Ability to engage deeply with engineers on system design (e.g., speech pipelines, streaming infra, telephony systems, reliability tradeoffs)
Experience working with AI systems - Familiarity with LLMs, speech-to-text, or text-to-speech systems and their limitations in production environments
Track record of 0→1 product development - Comfortable operating in ambiguous spaces and iterating quickly to reach product-market fit
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