Назад
7 часов назад

Product Manager (AI)

240 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager (AI) (Voice AI and Agent Platform): Building the systems customers use to create, configure, and manage voice agents, with an accent on model integrations, agent tools, and configuration at scale. Focus on evaluating and onboarding TTS, STT, and LLM models, designing evidence-based performance measurement, and translating agentic research into customer-facing features.

Location: San Francisco, United States; hybrid

Base salary: $240,000–$270,000 per year, plus equity

Company

Vapi builds a voice AI platform that enables developers and enterprises to deploy voice agents that listen, adapt, and resolve customer calls.

What you will do

  • Own how customers create, configure, and manage voice agents on the platform.
  • Drive integrations and tools that expand what agents can do during calls.
  • Manage the lifecycle of supported models, from evaluation and onboarding through deprecation.
  • Build reliable processes for adding the latest models and define evidence-based performance measurement.
  • Run experimentation and research into agentic harnesses and translate new techniques into product features.
  • Simplify the management of thousands of agent configuration parameters.

Requirements

  • 5+ years of product management experience, primarily building and operating technical products at meaningful scale.
  • Strong technical foundation with the ability to reason about system design and architecture trade-offs alongside engineers.
  • Exceptional communication and presentation skills for working with engineers, executives, clients, and partners.
  • Track record of owning customer and business outcomes.
  • Experience building B2B or enterprise products with a strong customer focus.

Nice to have

  • Experience managing AI model integrations across TTS, STT, or LLM providers.
  • Direct experience with voice AI.
  • Experience building developer platforms, infrastructure products, or API-first products.
  • Experience developing model evaluation or benchmarking systems.

Culture & Benefits

  • Comprehensive health coverage.
  • Flexible time off.
  • Catered meals and commuter support.
  • Learning and development budget.
  • Equity in a fast-growing San Francisco startup.

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