Product Manager, Voice
AI summary of the role
Define and scale Sierra's real-time voice AI agent experience, from interaction design to production reliability.
What you’ll do
- Define the voice interaction model—turn-taking, interruptions, latency, tone, and error recovery
- Build reliable real-time systems with engineering on streaming architectures and latency budgets
- Own the voice stack experience across ASR, TTS, LLMs, and telephony integrations
- Make voice measurable and improvable through evaluation metrics and feedback loops
What you’ll bring
- 3+ years of product management experience with exposure to real-time systems, voice, or AI products
- Experience shipping voice or real-time products with understanding of latency and streaming constraints
- Strong technical depth to engage on system design (speech pipelines, streaming infra, telephony)
- Experience working with AI systems (LLMs, speech-to-text, or text-to-speech) in production
Technologies
ASR · TTS · LLMs · telephony · streaming architectures · real-time systems · speech pipelines
About Sierra
Conversational AI agent platform for enterprise customer service, spanning chat and voice across finance, healthcare, retail, and media.
Series C
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
About us At Sierra, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 [... source excerpt omitted ...] 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 b [... source excerpt omitted ...] andling, 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 engi
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