What are the responsibilities and job description for the AI GTM Engineer, AI & Digital Natives position at ChatGPT Jobs?
Job Description
AI GTM Engineer
Location: Austin, TX
This is a hybrid Builder-Seller role in our newly formed AI Natives unit. As an AI GTM Engineer, you'll sit at the intersection of Sales, Data Science, and Engineering to build automated, agentic systems that identify, enrich, and engage the world's fastest-growing AI companies. Your goal: replace manual "spray and pray" outreach with high-fidelity, signal-based automation that feels like a 1-to-1 human interaction but operates at 1-to-1,000 scale.
Responsibilities
Must-Have
Base pay ranges (new hires):
Benefits & Perks
Health and wellbeing resources, paid volunteer days, and more.
AI GTM Engineer
Location: Austin, TX
- On-site, Remote
This is a hybrid Builder-Seller role in our newly formed AI Natives unit. As an AI GTM Engineer, you'll sit at the intersection of Sales, Data Science, and Engineering to build automated, agentic systems that identify, enrich, and engage the world's fastest-growing AI companies. Your goal: replace manual "spray and pray" outreach with high-fidelity, signal-based automation that feels like a 1-to-1 human interaction but operates at 1-to-1,000 scale.
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.
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
- 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
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.