Deepgram

1 day ago

Staff Product Manager, Agentic Experiences (Former Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Own the end-to-end product experience for AI coding agents using Deepgram—from how agents discover and choose Deepgram, to integration/onboarding, production usage, and verification of their own work. Build and continuously improve funnel measurement and optimization systems, define requirements for shared developer platforms (SDKs, docs/llms.txt, MCP server, CLI, skills, templates), and drive an experimentation/data-driven operating system while partnering deeply with engineering.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the agent experience across its lifecycle: discovery/recommendation, integration/onboarding, production use, and verification.
•Stand up and maintain a system to measure and optimize the full funnel for agents as agent behavior changes.
•Own agent-specific product surfaces including signup/authentication, trial-key/token defaults, programmatic key provisioning, console onboarding, and verification tooling.
•Define requirements for shared developer platforms (SDK ergonomics, agent-readable documentation/llms.txt, MCP server, CLI, skills package, starter templates) and prototype changes with platform owners.
•Build an operating system for data-driven optimization and experimentation, using fast feedback loops from agent traffic to improve the product.

Pay and Benefits

Salary: USD 200,000 - 268,000 annually

Equity and Bonus:Equity

Key Requirements

•Excellent product management judgment: own product/roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority.
•Former engineer depth: previously a senior software engineer or more, able to architect and ship production systems and read/write real code.
•Deep AI fluency proven by shipped AI work (e.g., agents, MCP servers, CLI tools, evaluation harnesses) that is publicly accessible (e.g., GitHub).
•Ability to stand up a complete system from scratch, including business rhythms, reporting/optimization, and experimentation.
•PLG and developer-product fluency: understand how developers and their agents adopt APIs and product-led growth.

Experience:Voice AIAI agentsDeveloper platformsAPI productOpen source

Skills:Product management judgmentCross-functional leadershipDecision-making under uncertaintyCommunication with executivesSystem thinking

Tech Stack:APIsSpeech-to-text (STT)Text-to-speech (TTS)Llms.txtMCP serverCLISDK ergonomicsTrial-keyToken defaultsProgrammatic key provisioning

Company Brief

Deepgram

Deepgram builds a real-time Voice AI platform delivering speech-to-text, text-to-speech, and voice-agent APIs for developers and enterprises, focusing on low-latency, high-accuracy voice models and scalable deployment options.

Industry: API Platforms

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.5

Website LinkedIn Glassdoor

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Deepgram

1 day ago

Staff Product Manager, Agentic Experiences (Former Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the agent experience across its lifecycle: discovery/recommendation, integration/onboarding, production use, and verification.
•Stand up and maintain a system to measure and optimize the full funnel for agents as agent behavior changes.
•Own agent-specific product surfaces including signup/authentication, trial-key/token defaults, programmatic key provisioning, console onboarding, and verification tooling.
•Define requirements for shared developer platforms (SDK ergonomics, agent-readable documentation/llms.txt, MCP server, CLI, skills package, starter templates) and prototype changes with platform owners.
•Build an operating system for data-driven optimization and experimentation, using fast feedback loops from agent traffic to improve the product.

Pay and Benefits

Salary: USD 200,000 - 268,000 annually

Equity and Bonus:Equity

Key Requirements

•Excellent product management judgment: own product/roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority.
•Former engineer depth: previously a senior software engineer or more, able to architect and ship production systems and read/write real code.
•Deep AI fluency proven by shipped AI work (e.g., agents, MCP servers, CLI tools, evaluation harnesses) that is publicly accessible (e.g., GitHub).
•Ability to stand up a complete system from scratch, including business rhythms, reporting/optimization, and experimentation.
•PLG and developer-product fluency: understand how developers and their agents adopt APIs and product-led growth.

Experience:Voice AIAI agentsDeveloper platformsAPI productOpen source

Skills:Product management judgmentCross-functional leadershipDecision-making under uncertaintyCommunication with executivesSystem thinking

Tech Stack:APIsSpeech-to-text (STT)Text-to-speech (TTS)Llms.txtMCP serverCLISDK ergonomicsTrial-keyToken defaultsProgrammatic key provisioning

Company Brief

Deepgram

Industry: API Platforms

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.5

Website LinkedIn Glassdoor