
Job Overview
Location
USA | Remote
Job Type
Full-time
Category
Marketing
Date Posted
July 9, 2026
Full Job Description
đź“‹ Description
- • Develop and execute a comprehensive demand generation strategy to drive qualified pipeline and revenue growth for Deepgram, a leading platform in the Voice AI economy.
- • Lead the demand-gen → revenue engine end to end, setting strategy and growing marketing-sourced qualified pipeline.
- • Build a repeatable, AI-native demand system that compounds, not a calendar of one-off campaigns and events.
- • Concentrate spend where Deepgram wins: lift pipeline contribution from teams embedding voice at scale.
- • Improve pipeline efficiency—bring cost-per-opportunity down while holding or improving lead quality.
- • Tighten the experiment-to-learning loop: run structured experiments per quarter, each with a documented readout that changes the next bet.
- • Partner with Sales and RevOps to lift lead → opportunity → closed-won conversion.
- • Build and develop the team: hire, level, and grow an inclusive, high-performing revenue marketing org.
- • Stand up attribution and reporting that gives the exec team and board a clear line of sight from spend to revenue.
🎯 Requirements
- • Operates AI-native: designs human+AI demand-gen workflows as the default operating mode, not occasional AI use.
- • Builds systems that eliminate recurring work (campaign ops, lead routing, reporting) instead of re-solving them every quarter.
- • Reasons from first principles: rebuilds a leaky funnel rather than spending more to scale it.
- • Sets strategy and direction for a multi-team function and translates company goals into clear direction for the teams below.
🏖️ Benefits
- • Competitive salary and equity package.
- • Opportunity to work with a leading platform in the Voice AI economy.
- • Collaborative and dynamic work environment.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Deepgram Inc.
Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.
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