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Marketing jobs

93,664 marketing jobs

3 weeks ago

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All marketing roles in the US at in-house companies

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10,000+ jobs

Senior Product Marketing Manager, Voice Agent

Deepgram

California, MO (Remote)

$150K/yr - $190K/yrIn-houseFull-timeSenior level5+ years exp.

3 weeks ago

Head of GTM Strategy & Operations, AMER

Harvey

New York City, NY (Hybrid)

$212K/yr - $300K/yrIn-houseFull-timeSenior level10+ years exp.

3 weeks ago

Senior Product Marketing Manager, Solutions Marketing

Deepgram

California, MO (Remote)

$150K/yr - $190K/yrIn-houseFull-timeSenior level5+ years exp.

3 weeks ago

Associate eCommerce Manager

Children's Factory

Union, MO (On-site)

In-houseFull-timeEntry level3+ years exp.

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$115K/yr - $135K/yrIn-houseFull-timeSenior level5+ years exp.

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Marketing Intern, Chartwells Higher Ed / Stephen F. Austin State University

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In-houseInternshipIntern/new grad

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$80K/yr - $100K/yrIn-houseFull-timeSenior level3+ years exp.

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$145K/yr - $175K/yrIn-houseFull-timeSenior level8+ years exp.

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3 weeks ago

Deepgram

Senior Product Marketing Manager, Voice Agent

California, MO (Remote)

$150K/yr – $190K/yrSenior Level5+ years expFull time

Posted 3 weeks ago

Job Summary

Own the voice agent category narrative and drive the full-stack GTM, messaging, and developer-focused content across launches, collateral, and sales enablement.

Define a production-grade voice agent platform that leverages a unified API and end-to-end ownership.
Lead cross-functional launches, messaging, and battlefield-ready content to win deals.

Job Description

Responsibilities

Own the voice agent category narrative. Define what a production-grade voice agent platform is in a way that plays to Deepgram's strengths: one owned, end-to-end stack with sub-300ms latency, barge-in, and turn-taking.
Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. Voice agents are where STT, TTS, and LLM orchestration come together; own the full-stack story while knowing how the pieces show up in broader deals.
Lead product launches for Voice Agent releases: new conversational capabilities, latency and quality advances, BYO model support, deployment and compliance options. Clear messaging, sharp launch plans, tight cross-functional execution.
Own positioning across the build spectrum. Understand the different approaches teams take to building voice agents, from DIY frameworks to managed platforms and enterprise suites, and build the battlecards, objection-handling guides, and build-vs-buy narratives that show why the unified-API approach wins for production. Many players here are partners who embed Deepgram as their speech layer.
Enable sales and build proof points. Collateral, customer stories, benchmarks, and TCO narratives that win voice agent deals and stand up to technical and economic scrutiny.
Collaborate with Product on market and competitive intelligence: what voice agent builders need, what the market is shipping, where it's going.
Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, reference architectures, use case content, and SEO tied to how voice agent builders actually search.
Build AI-assisted PMM workflows. Use AI to accelerate research, competitive synthesis, and content production. Build repeatable systems, not one-off prompts. You set the strategy; AI handles the first drafts.

Requirements

5+ years of product marketing experience, including at least 2 years on infrastructure, API, or developer-facing products.
Strong messaging skills: you can build a positioning architecture from scratch and know the difference between a message that's technically accurate and one that actually moves people.
A high bar for quality: you notice when copy is off, when a layout doesn't work, when creative doesn't match the brand, and you can give useful feedback on all of it.
Working knowledge of the AI landscape: frontier models, major LLM providers, how the ecosystem fits together. You need to talk about this credibly with technical buyers.
Technical depth: you can engage with engineering and product teams, read API docs, and translate product-level details into market-facing narratives without oversimplifying.
Fluency in both product-led and sales-led growth motions, and how they interact.
Demonstrated AI fluency: concrete examples of AI-assisted workflows you've built, iterated on, and measured, with specific outcomes to back it up.

Preferred

Experience in the voice AI space and familiarity with how STT, TTS, and LLMs come together in a production voice agent stack, and with the range of ways teams build voice agents, from DIY frameworks to managed platforms.
Hands-on experience with AI-native tools across the stack: agentic coding (Claude Code, Codex) and collaborative work tools (Cowork, etc.).
Experience with technical proof points, model benchmarks, or evaluation frameworks. In voice agents, buying decisions often come down to a live conversation that either feels natural or doesn't.
Comfort operating where the playbook doesn't fully exist yet and you're building it as you go.

Deepgram

4.3 Glassdoor

Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits!Beyond that, developers can:🔊 Process live-streaming or pre-recorded audio with superior accuracy🗣️ Convert text into natural-sounding AI voices for enterprise use cases with text-to-speech⚡️ Easily build voice agents with our unified Voice Agent API🌎 Accurately transcribe audio in over 36+ languages⚙️ Train custom models for unique use cases🔑 Access deep NLU with a unified API💻 Build in any programming language with our SDKs✅ Deploy on-prem or on DG’s managed cloud📈 Get scalable GPU infra for training and inference

Founded in 2015

San Francisco, California, USA

240 employees (35 in marketing)

deepgram.com

80% recommend to a friend

83% CEO approval

Salaries

Posted range

$150K/yr – $190K/yr

Taken straight from the job posting.

See all Deepgram salaries

Marketing Team

Marketing Team Size

30 (13% of company)

Median Career Experience

13 years

Median Tenure

1 years

Marketing Roles Posted (Last 30 Days)

People

Marketing Leadership

Olivia Cohen

Head of Brand & Awareness

At the company for 7 months

Funding

Total Funding

$229.1M

Last Raise

$143.2M

Series C, 2 months ago

Funding History

Jan 2026
Series C • $143.2M
Nov 2022
Series B • $47M
Feb 2021
Series B • $25M

Traffic Signals

Monthly Visitors

849.7K

Monthly Google Ads Budget

$34.7K

Traffic Source Mix

52.3%

Direct

38.9%

Referral

Social

Paid

0.6%

Headcount Trend

Current headcount: ~240

Recent News

Deepgram Receives 2025 Customer Experience Innovation Award From CUSTOMER Magazine

Nov 17, 2025 • Business Wire

Deepgram Receives 2025 Customer Experience Innovation Award From CUSTOMER Magazine

Nov 17, 2025 • Bluefield Daily Telegraph

Deepgram launches conversational speech recognition model

Oct 10, 2025 • FutureCIO

Links

deepgram.com

X (Twitter)

Crunchbase

Responsibilities

Own the voice agent category narrative. Define what a production-grade voice agent platform is in a way that plays to Deepgram's strengths: one owned, end-to-end stack with sub-300ms latency, barge-in, and turn-taking.
Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. Voice agents are where STT, TTS, and LLM orchestration come together; own the full-stack story while knowing how the pieces show up in broader deals.
Lead product launches for Voice Agent releases: new conversational capabilities, latency and quality advances, BYO model support, deployment and compliance options. Clear messaging, sharp launch plans, tight cross-functional execution.
Own positioning across the build spectrum. Understand the different approaches teams take to building voice agents, from DIY frameworks to managed platforms and enterprise suites, and build the battlecards, objection-handling guides, and build-vs-buy narratives that show why the unified-API approach wins for production. Many players here are partners who embed Deepgram as their speech layer.
Enable sales and build proof points. Collateral, customer stories, benchmarks, and TCO narratives that win voice agent deals and stand up to technical and economic scrutiny.
Collaborate with Product on market and competitive intelligence: what voice agent builders need, what the market is shipping, where it's going.
Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, reference architectures, use case content, and SEO tied to how voice agent builders actually search.
Build AI-assisted PMM workflows. Use AI to accelerate research, competitive synthesis, and content production. Build repeatable systems, not one-off prompts. You set the strategy; AI handles the first drafts.

Requirements

5+ years of product marketing experience, including at least 2 years on infrastructure, API, or developer-facing products.
Strong messaging skills: you can build a positioning architecture from scratch and know the difference between a message that's technically accurate and one that actually moves people.
A high bar for quality: you notice when copy is off, when a layout doesn't work, when creative doesn't match the brand, and you can give useful feedback on all of it.
Working knowledge of the AI landscape: frontier models, major LLM providers, how the ecosystem fits together. You need to talk about this credibly with technical buyers.
Technical depth: you can engage with engineering and product teams, read API docs, and translate product-level details into market-facing narratives without oversimplifying.
Fluency in both product-led and sales-led growth motions, and how they interact.
Demonstrated AI fluency: concrete examples of AI-assisted workflows you've built, iterated on, and measured, with specific outcomes to back it up.

Preferred

Experience in the voice AI space and familiarity with how STT, TTS, and LLMs come together in a production voice agent stack, and with the range of ways teams build voice agents, from DIY frameworks to managed platforms.
Hands-on experience with AI-native tools across the stack: agentic coding (Claude Code, Codex) and collaborative work tools (Cowork, etc.).
Experience with technical proof points, model benchmarks, or evaluation frameworks. In voice agents, buying decisions often come down to a live conversation that either feels natural or doesn't.
Comfort operating where the playbook doesn't fully exist yet and you're building it as you go.