200K–275K USD / year
Director, GTM Engineering
OperationsRemote — USA
Published on 2026-10-20
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About this role
Lead the systems, data, automation, and technical infrastructure that support Deepgram’s go-to-market organization. This hands-on player-coach role owns the GTM technology ecosystem and builds scalable, AI-powered solutions across the commercial lifecycle.
About the company
Deepgram builds speech-to-text and voice AI APIs that convert audio into text and power voice applications for developers and enterprises.
The team
GTM Engineering, within Customer Success; partners closely with Product, Engineering, Finance, and Data Intelligence.
Stack
SalesforceSQLClaude CodeCursorn8nWorkatoRetool
What you'll do
- Own the GTM technology ecosystem, including CRM, CPQ, forecasting tools, data infrastructure, integrations, and automation.
- Set the roadmap and translate business needs into scalable systems and technical requirements.
- Build AI-powered workflows and internal tools for pipeline management, forecasting, deal execution, renewals, and reporting.
- Establish standards for security, governance, testing, observability, access controls, and production deployment.
- Create a governed data foundation connecting pipeline, contracts, usage, billing, renewals, and expansion.
- Lead GTM requirements and implementation for usage, metering, and billing systems.
- Develop a small team while remaining hands-on in design, coding, and delivery.
What we're looking for
- Experience leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical function.
- Professional software engineering experience and ability to write, review, debug, and maintain production-quality code.
- Track record of personally designing, coding, testing, and shipping production systems, integrations, automations, or internal tools.
- Strong knowledge of software architecture, APIs, security, governance, testing, and observability.
- Hands-on experience with CRM, CPQ, integrations, workflow automation, and commercial data.
- Experience building AI-powered workflows that materially reduce manual work.
- Understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.
- Ability to lead as a hands-on player-coach and partner effectively with Engineering, Product, and GTM leaders.
Nice to have
- Experience with usage-based or consumption-based businesses, metering, and billing infrastructure.
- Experience with Salesforce, CPQ or billing platforms, SQL, and GTM data pipelines.
- Familiarity with AI-assisted development and automation tools such as Claude Code, Cursor, n8n, Workato, or Retool.
- Experience scaling GTM systems through rapid growth or multi-product expansion.