Lead Deepgram's demand generation engine to drive qualified pipeline and revenue from voice AI leadership. Own full-funnel strategy, build AI-native systems, partner with Sales/RevOps, and grow a high-performing revenue marketing team reporting to the CMO.
230k – 300k
Remote12+ YOEGrowth Marketing
About the role
Key Responsibilities
Own the demand-gen → revenue engine end to end: set the strategy and grow marketing-sourced qualified pipeline.
Build a repeatable, AI-native demand system that compounds.
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.
Minimum Requirements
Operates AI-native: designs human+AI demand-gen workflows as the default operating mode.
Builds systems that eliminate recurring work (campaign ops, lead routing, reporting).
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.
Develops and holds a team of managers and ICs accountable; owns results, hiring, and the bar for the function.
Owns a budget and allocates it to the highest-leverage bets.
Turns pipeline and revenue data into a clear, honest narrative for executives and the board.
Owns the full revenue funnel cross-functionally (Sales, Product, RevOps).
Preferred Qualifications
12 or more years of experience in B2B SaaS marketing, including senior leadership in growth/demand generation/revenue marketing.
Has scaled marketing for a developer-first / API / technical B2B product.
Has driven pipeline and revenue in both product-led and sales-led environments.
Has built or owned an AI-native marketing workflow or system before.
Fluency with a modern revenue-marketing and analytics stack (marketing automation, attribution, intent/ABM tooling).
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