Director, GTM Engineering

Deepgram

. Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling .

Posted 10/20/2026full-timeRemote • United StatesLead💰 $200,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing GTM technology ecosystems, including CRM, CPQ, and automation, while leading engineering teams to deliver scalable solutions. Proficient in building AI-native workflows and ensuring data integrity across forecasting and GTM execution.

Highest-signal resume keywords

GTM Engineering LeadershipSoftware Engineering ExperienceCRM and CPQ ExpertiseAI-Powered Workflow DevelopmentData Modeling and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAPIsWorkflow AutomationProduction Engineering PracticesData QualityTestingObservabilityAccess ControlsIntegration DevelopmentPipeline Management

Soft Skills

Strong CommunicationProduct InstinctsTeam LeadershipProblem-Solving

Tools & Technologies

SalesforceSQLN8nWorkatoRetoolClaude CodeCursor

Industry Keywords

GTM SystemsRevOpsSales OpsQuote-to-CashCustomer Lifecycle DataMetering and Billing Infrastructure

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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