Technical Product Manager (Voice AI)

Position Overview

• Location Type: Remote
• Job Type: FullTime
• Salary: $180K - $220K

Deepgram is the leading voice AI platform for developers. We’re looking for an ambitious Product Manager to support the strategy and development of Deepgram’s voice AI products. As a Product Manager, you will drive product design (API and UI), and partner with research and engineering to develop products that help us reach customer success and operational goals. You’ll be an early member of Deepgram’s product team, shaping the foundation of the product and its growth.

Requirements

• 4+ years of product management experience with technical products
• Experience designing and developing products
• Product mindset balanced with technical depth to understand ML/AI concepts
• Ability to translate cutting-edge technology into clear, usable products
• Ability to navigate ambiguity and make decisions with incomplete information
• Strong communication skills

Responsibilities

• Lead end-to-end product development for voice AI technologies, with particular emphasis on real-time streaming capabilities.
• Partner closely with research teams to guide development of new speech models and translate innovations into product features.
• Design and iterate on APIs and developer experiences that make complex voice technology accessible and powerful.
• Build relationships with enterprise customers to understand their needs and integrate feedback into product roadmaps.
• Drive cross-functional collaboration between research, engineering, design, and go-to-market teams.
• Define product strategy, success metrics, and execution plans for new voice AI capabilities.
• Break down complex technical challenges into clear milestones and development plans.

Company Information

• Company: Deepgram
• Overview: Deepgram is the leading voice AI platform for developers. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency, and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed, and over 1 trillion words transcribed.