AI GTM Engineer, AI & Digital Natives

Working at Atlassian

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This is a hybrid Builder-Seller role in our newly formed AI Natives unit. As an AI GTM Engineer, you won't just execute a playbook you'll code it. 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.

You will be part of a newly created team addressing Greenfield AI & Digital Natives account - reporting to the Head of High Velocity Sales

Build the AI GTM Operating System From Zero

Co-architect and help build the end-to-end AI GTM stack in real-time alongside various stakeholders (Business Owners, AI Natives Manager, System & Tools, SalesOps, AI Innovation team, Growth Platforrm, and Engineering) - this is a live build, not a spec on paper (the Stack has been predefined and teams have been mandated to support)
Ensure the tech stack if acting as a multiplier, with specific focus at the top of funnel until lead creation and human handover - addressing greenfield companies with the right angle
Design, deploy, and iterate on agentic workflows tailor made for AI & Digital Natives plays - replacing deterministic, segment-level plays with fluid, account-level orchestration

Bridge Sales, Growth Platform & Engineering

Serve as the connective tissue between HVS Sales (execution), Sales Acceleration & Innovation (SalesTech/CRM), Growth Platform (KYC scoring, Post Office orchestration, WAC onboarding), and Software Engineering translating business intent into technical builds and vice versa
Partner directly 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
Work with Systems & Tools, as well as SalesOps to 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

Activate and run the autonomous GTM day-to-day: deploy prompts, monitor agent performance, tune orchestration rules, and escalate only when the system needs human judgment
Start focused on AI Natives (~20k greenfield + free accounts), then extend to SMB Sales build once, scale many
Measure what matters: Cost per Inference (CPI), attributed pipeline, "Signal Detected" → "Meeting Booked" → "Opportunity Created" conversion, and % rep time recovered for high-value conversations

Multiply the Sales Team

Act as a multiplier: Leverage the AI GTM Stack to ensure full coverage of the TAM, right touchpoints based on expected customer needs and propensity, leveraging AEs and Inside Sales to maximize their impact in the customer lifecycle until Closing
Build proactive co-pilot surfaces (bots, dashboards, alerts) powered by intent and scoring signals so reps spend 70%+ of their time on value-based conversations and closing, not admin
Enable Inside Sales and AEs with real-time competitive intelligence, personalized discovery guides, and auto-generated proposal decks grounded in account-specific data

Rapid Experimentation & Pioneer the Playbook

Run weekly experiments on signals, hooks, timing, channels, and agentic behaviors iterate relentlessly in a 0→1 motion with no legacy playbook and no glass ceiling on optimization
Document and scale repeatable AI GTM plays: what starts in AI Natives must become the blueprint for how Atlassian sells at velocity to greenfield targets
Feed learnings back into Growth Platform, Product Marketing, and Pricing (VC credits, marketplace programs, startup perks) to sharpen the AI Natives value proposition and commercial model

Think Beyond Shape the Future GTM

Evaluate and integrate external AI GTM providers alongside internal capabilities, recommending build vs. buy at each layer
Stay at the frontier of agentic AI: bring outside-in perspective on what's possible, pressure-test the roadmap, and ensure Atlassian's AI GTM stays ahead of the market

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). 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 (product-qualified leads, PLS)
Prior work at Clay, Copy.ai, Apollo, Instantly, Outreach, or similar GTM tooling companies

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: USD 132300 - USD 172725

Zone B: USD 119700 - USD 156275

Zone C: USD 110700 - USD 144525

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.