Senior Software Engineer, Gtm Engineering

Vanta Vanta · Enterprise · U.S. · Remote · Revenue

Senior Software Engineer on the GTM Engineering team responsible for designing and shipping internal tools that transform how go-to-market teams operate. This involves building AI-powered workflows and agents to accelerate pipeline generation, improve win rates, and scale customer engagement. The role requires full-stack development, close collaboration with non-technical stakeholders, and applying AI/automation to business workflows.

What you'd actually do

  1. Build and ship applications that accelerate Vanta's GTM efforts: from AI-powered workflows that automate prospecting and account research to internal tools that improve rep productivity and pipeline velocity
  2. Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems
  3. Partner closely with Sales, Technical Success, and Revenue Operations to identify high-leverage opportunities, understand user needs, and build for them
  4. Apply AI and modern technologies in novel ways to systematize and automate GTM workflows (e.g., pipeline generation, deal preparation, renewal velocity, scoring and routing)
  5. Design, develop, and maintain internal-facing web applications and AI-driven agents using a mix of frameworks, APIs, and code (Python, TypeScript, SQL)

Skills

Required

  • 7+ years of software engineering experience
  • building and shipping full-stack applications
  • proficiency in modern programming languages (Python, TypeScript/JavaScript)
  • experience with web frameworks (React, Node.js)
  • strong SQL skills
  • experience with LLM APIs
  • prompt engineering
  • workflow automation tools
  • experience working closely with non-technical stakeholders
  • product mindset
  • ability to move quickly from prototype to production
  • communication skills

Nice to have

  • Former founder or early engineer at a startup (0–50 employees)
  • Experience with GTM systems (Salesforce, HubSpot, Gong, workflow automation tools like Workato or n8n)
  • modern data stack tools (Snowflake, dbt)

What the JD emphasized

  • 7+ years of software engineering experience
  • Former founder or early engineer at a startup (0–50 employees)
  • Deep technical skill set
  • Understanding of how AI and automation can be applied to business workflows
  • Experience working closely with non-technical stakeholders
  • Product mindset
  • Demonstrated ability to move quickly from prototype to production
  • Excellent communication skills
  • Must be authorized to work in the U.S. without the need for current or future employer sponsorship
  • Open to using AI to amplify their skills and strengthen their work

Other signals

  • AI-powered workflows
  • AI-driven agents
  • Apply AI and modern technologies in novel ways
  • LLM APIs
  • prompt engineering
  • workflow automation tools