AI GTM Engineer, AI & Digital Natives

Atlassian•Austin, TX

5d•$110,700 - $172,725•Hybrid

About The Position

This is a hybrid Builder-Seller role in Atlassian's newly formed AI Natives unit. As an AI GTM Engineer, you will code the playbook, sitting 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. The goal is to replace manual outreach with high-fidelity, signal-based automation that operates at scale. You will be part of a newly created team addressing Greenfield AI & Digital Natives accounts, reporting to the Head of High Velocity Sales.

Requirements

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 for high-quality, non-robotic output
GTM intuition: understands the sales funnel, knows what makes a good hook, and can define an ICP for a technical audience
Data-driven: designs experiments, measures outcomes, optimizes relentlessly

Nice To Haves

Experience selling to or working within AI-native / developer-first companies
Familiarity with Atlassian products (Jira, Confluence, Bitbucket, Rovo) and the developer/IT buyer persona
Experience with Salesforce administration
Background in PLG + sales hybrid motions (product-qualified leads, PLS)
Prior work at Clay, Copy.ai, Apollo, Instantly, Outreach, or similar GTM tooling companies

Responsibilities

Co-architect and help build the end-to-end AI GTM stack in real-time alongside various stakeholders.
Ensure the tech stack acts as a multiplier, focusing on the top of the funnel until lead creation and human handover.
Design, deploy, and iterate on agentic workflows tailor-made for AI & Digital Natives plays.
Serve as the connective tissue between HVS Sales, Sales Acceleration & Innovation, Growth Platform, and Software Engineering.
Partner directly with Growth Platform engineers to integrate first-party product telemetry and propensity models into the AI GTM.
Work with Systems & Tools, as well as SalesOps to ensure Salesforce remains the clean system of record.
Activate and run the autonomous GTM day-to-day: deploy prompts, monitor agent performance, tune orchestration rules, and escalate when the system needs human judgment.
Start focused on AI Natives, then extend to SMB Sales.
Measure what matters: Cost per Inference (CPI), attributed pipeline, conversion rates, and % rep time recovered.
Leverage the AI GTM Stack to ensure full coverage of the TAM, right touchpoints based on expected customer needs and propensity.
Build proactive co-pilot surfaces (bots, dashboards, alerts) powered by intent and scoring signals.
Enable Inside Sales and AEs with real-time competitive intelligence, personalized discovery guides, and auto-generated proposal decks.
Run weekly experiments on signals, hooks, timing, channels, and agentic behaviors.
Document and scale repeatable AI GTM plays.
Feed learnings back into Growth Platform, Product Marketing, and Pricing.
Evaluate and integrate external AI GTM providers alongside internal capabilities.
Stay at the frontier of agentic AI and ensure Atlassian's AI GTM stays ahead of the market.