Director, GTM Engineering

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $200k - $245k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling • Serve as technical product leader for GTM systems and Engineering’s primary GTM counterpart • Translate business problems into clear requirements, roadmap priorities, and scalable solutions • Establish engineering standards for GTM systems and automation, including security, governance, testing, observability, access controls, documentation, and safe production deployment • Build AI-native workflows and internal tools to reduce manual work and improve pipeline management, forecasting, deal execution, renewals, reporting, and decision-making • Design simple, auditable, secure-first automation and determine where deterministic automation, AI, or human judgment is appropriate • Build systems and data foundations connecting pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion • Partner with the Head of Data Intelligence on shared, governed GTM data foundations, models, metadata, definitions, and trusted sources • Own technical infrastructure for forecasting and GTM execution, including CRM workflows, data quality, reporting, routing, territory, quota, commission, and capacity plans • Lead GTM partnership on usage, metering, and billing, including requirements, build-versus-buy decisions, and systems connecting usage, pricing, contracts, billing, and revenue • Lead the GTM Engineering function as a player-coach and develop a small team

🎯 Requirements

• Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical GTM function • Professional software engineering experience, including writing, reviewing, debugging, and maintaining production-quality code independently of AI-assisted development tools • Track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents, or internal tools • Strong understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices • Deep hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data • Experience building AI-powered workflows that replace or materially reduce manual work • Strong product instincts and ability to turn ambiguous business problems into buildable solutions • Technical credibility with Product and Engineering and strong communication with GTM leaders • Experience partnering with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure • Strong understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data • Comfortable operating as a hands-on player-coach with a small team • Experience with usage-based or consumption-based businesses, especially metering and billing infrastructure, preferred • Experience with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines preferred • Experience with AI-assisted development tools such as Claude Code and Cursor, and automation platforms such as n8n, Workato, or Retool preferred • Experience scaling GTM systems through rapid growth or multi-product expansion preferred

🏖️ Benefits

• Base salary range determined by work location and job-related skills and experience • Benefits • Bonus and equity are part of overall compensation but excluded from the listed base salary