AI GTM Engineer, AI & Digital Natives

Responsibilities

• Build the AI GTM Operating System: Co-architect and build the end-to-end AI GTM stack alongside stakeholders. Ensure the tech stack acts as a multiplier, focusing on top of funnel until lead creation and human handover.
• Design agentic workflows: Deploy and iterate on agentic workflows tailored for AI & Digital Natives, replacing deterministic plays with fluid, account-level orchestration.
• Bridge Sales, Growth Platform & Engineering: Serve as connective tissue between HVS Sales, Sales Acceleration & Innovation, Growth Platform, and Software Engineering. Integrate first-party product telemetry and propensity models into AI GTM.
• Operate and Scale the Stack: Activate and run the autonomous GTM day-to-day, monitor agent performance, and tune orchestration rules. Start focused on AI Natives (~20k greenfield + free accounts), then extend to SMB Sales.
• Multiply the Sales Team: Leverage the AI GTM Stack to ensure full coverage of the TAM. Build proactive co-pilot surfaces so reps spend 70%+ of time on value-based conversations and closing.
• Rapid Experimentation: Run weekly experiments on signals, hooks, timing, and agentic behaviors. Document and scale repeatable AI GTM plays.
• Shape the Future GTM: Evaluate external AI GTM providers alongside internal capabilities, recommending build vs. buy at each layer.

Qualifications

• Must-Have:
  • 3+ years in Growth Engineering, Revenue Operations, GTM Engineering, or a technical AE role at a high-growth SaaS or AI company
  • Technical proficiency: comfortable with APIs, JSON, webhooks, and basic scripting (Python or JavaScript)
  • Hands-on experience building automated outbound workflows
  • AI-native mindset: early adopter of LLMs and agentic workflows; knows how to prompt-engineer
  • GTM intuition: understands the sales funnel and can define an ICP for a technical audience
  • Data-driven: designs experiments, measures outcomes, optimizes relentlessly
• Nice-to-Have:
  • Experience selling to or working within AI-native / developer-first companies
  • Familiarity with Atlassian products (Jira, Confluence, Bitbucket, Rovo)
  • Experience with Salesforce administration
  • Background in PLG + sales hybrid motions
  • Prior work at Clay, Copy.ai, Apollo, Instantly, Outreach, or similar GTM tooling companies

Compensation

• Base pay ranges (new hires):
• Zone A: USD 132,300 - USD 172,725
• Zone B: USD 119,700 - USD 156,275
• Zone C: USD 110,700 - USD 144,525

Benefits & Perks

• Health and wellbeing resources, paid volunteer days, and more.

Job Details

Location: Austin, TX
Job Type: hybrid or office
Posted: Jun 6, 2026