SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 240,000 - 270,000 / annual
Vapi is a voice AI platform that enables businesses to deploy intelligent voice agents capable of resolving customer issues without transferring calls. The platform powers over 1 billion calls for 1 million developers and serves customers ranging from YC startups to Fortune 500 companies including Amazon Ring, ServiceTitan, New York Life, and Intuit. The company recently closed a $50M Series B and has achieved 10x enterprise ARR growth.
As Senior Product Manager for the Agent Platform team, you will own the core customer experience for creating, configuring, and managing voice agents on Vapi. Your responsibilities include:
- Owning the end-to-end agent creation and configuration experience, ensuring customers can easily build and manage sophisticated voice agents at scale
- Driving integrations and tools that expand agent capabilities, enabling them to perform complex actions during calls
- Managing the full lifecycle of AI models supported on the platform, from evaluation and onboarding through deprecation
- Building processes that keep Vapi at the frontier of AI, ensuring latest models are added quickly and reliably
- Defining model performance measurement frameworks based on evidence rather than intuition
- Running experimentation and research into agentic techniques, translating innovations into customer-facing features
- Simplifying the complexity of thousands of agent configuration parameters to make powerful capabilities accessible
You'll work closely with engineering to move fast and drive impact through product thinking. The role requires balancing technical depth with customer empathy, managing competing priorities across model integrations, platform capabilities, and developer experience.
Required: 5+ years as a PM building technical products at scale in medium to large tech companies. Strong technical foundation to reason through system design and architecture with engineers as a peer. Exceptional communication skills across engineers, executives, and external partners. Track record of owning outcomes and impact. Genuine B2B/enterprise product experience with customer-centric mindset.
Nice to have: Experience managing AI model integrations (TTS, STT, LLM), direct voice AI background, developer platform or infrastructure product experience, model evaluation or benchmarking systems expertise.
