AI GTM Engineer

Job title: AI GTM Engineer

About the Role

At Atlassian, you’ll help build and operate the AI GTM stack enabling high-velocity, signal-based outreach to AI-native companies. As part of the AI Natives unit, you’ll bridge Sales, Data Science, and Engineering to automate go-to-market motions at scale.

What You'll Do

• Co-architect and help build the end-to-end AI GTM stack in real-time with stakeholders (Business Owners, AI Natives Manager, System & Tools, SalesOps, Growth Platform, and Engineering).

• Design, deploy, and iterate on agentic workflows for AI & Digital Natives plays, replacing deterministic, segment-level plays with fluid, account-level orchestration.

• Bridge Sales, Growth Platform & Engineering; translate business intent into technical builds and vice versa.

• Partner with Growth Platform engineers to integrate first-party product telemetry and propensity models into the AI GTM so outreach is triggered by signal, not schedule.

• Ensure Salesforce remains the clean system of record while opening it up as the data foundation for the rest of the stack.

• Operate and scale the stack: deploy prompts, monitor agent performance, tune orchestration rules, and escalate only when human judgment is required.

• Start with AI Natives (~20k greenfield + free accounts), then extend to SMB; build once, scale many.

• Measure CPI, attributed pipeline, conversion metrics (e.g., Signal Detected → Meeting Booked → Opportunity Created), and rep time recovered for high-value conversations.

• Multiply the Sales Team: provide full coverage of the TAM with right touches, enabling Inside Sales and AEs to maximize impact in the lifecycle up to closing.

• Build proactive co-pilot surfaces (bots, dashboards, alerts) powered by intent and scoring signals.

• Enable real-time competitive intelligence and auto-generated discovery guides and proposal decks grounded in account data.

• Run weekly experiments on signals, hooks, timing, channels, and agentic behaviors; iterate relentlessly in a 0→1 motion.

• Document and scale repeatable AI GTM plays; feed learnings back to Growth Platform, Product Marketing, and Pricing.

• Think beyond — evaluate external AI GTM providers and ensure Atlassian stays at the frontier of agentic AI.

• What We're Looking For

• 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). Not a full-stack engineer, but a "power user" of automation platforms.

• 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 Have

• 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 (PQLs, PLS).

• Prior work at Clay, Copy.ai, Apollo, Instantly, Outreach, or similar GTM tooling companies.

• Compensation & Benefits

• Base pay in USD with zone-based ranges (Zone A and Zone B); exact figures are location-dependent per Atlassian policy.