AI Productivity Lead, Sales Development

Overview About the Role The SDR organization is entering a new operating model in which AI is embedded into how sellers prospect, prioritize, personalize, coach, and create pipeline. As the AI Productivity Lead, Sales Development , you will lead that transformation.

You will discover, build, ship, measure, and scale AI-powered workflows that make SDRs and SDR managers more productive. This is a hands-on builder role embedded in Sales Development, with an executive mandate to redesign how the organization works and create more pipeline with the same headcount. You will partner across Sales, RevOps, Enablement, Engineering, Marketing, and AI governance to turn high-value use cases into repeatable products and measurable outcomes.

Outcomes-driven: Make every SDR materially more productive by eliminating low-value manual work, increasing pipeline creation, improving conversion, and giving managers greater coaching leverage.

Why This Role Matters This is a dedicated builder role for the SDR organization, accountable for turning AI opportunities into a reliable operating infrastructure. Embedded with the team responsible for an aggressive FY27 pipeline target, you will help Atlassian improve productivity, conversion quality, and speed-to-lead while enabling SDRs and managers to focus more time on high-value customer interactions.

You are not joining an AI team to help people use tools. You are becoming a product builder embedded inside one of the world’s largest SDR organizations, with the opportunity to redesign how sellers and managers work every day.

Responsibilities What You’ll Do

• Identify high-value opportunities: Shadow SDRs and managers, analyze workflows across tools such as Salesforce, Outreach, Gong, and Slack, and maintain a prioritized backlog of work AI can eliminate or improve.
• Build and scale AI products: Design, prototype, launch, and iterate internal products such as research agents, account briefs, meeting-prep assistants, manager briefs, coaching copilots, forecast assistants, territory planners, and pipeline inspectors.
• Own the experimentation roadmap: Run disciplined experiments focused on meetings, connect rates, personalization, ramp, administrative time, forecasting, coaching, and qualified pipeline. Scale what works and stop what does not.
• Lead cross-functional delivery: Translate field problems into product requirements and partner with Engineering, RevOps, Enablement, Product Marketing, Sales leadership, and AI governance to deliver secure, governed, adopted solutions.
• Improve manager leverage: Build systems that help managers coach more reps with better visibility and less administrative effort, without sacrificing coaching quality or operating discipline.
• Embed AI into daily work: Integrate AI into prospecting, prioritization, personalization, onboarding, coaching, inspection, forecasting, and performance workflows so new capabilities become part of how SDRs operate.
• Build for sustainability: Establish appropriate guardrails for privacy, security, cost, performance, reliability, and human judgment. Monitor workflows, manage incidents, and continuously improve operational quality.
• Measure business impact: Track adoption, time saved, meetings booked, pipeline created, conversion, quality, manager hours reclaimed, ramp impact, and revenue contribution.

Pay Ranges Role 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 $153,000 - $199,750 Zone B $137,700 - $179,775 Zone C $127,800 - $166,850

Qualifications Required Qualifications

• Experience building and deploying AI-powered workflows, agents, copilots, automations, or internal tools in a production environment.
• Strong technical foundation with the ability to write business logic, design solutions, integrate systems, troubleshoot workflows, and ship reliably at pace.
• Practical experience with LLMs, prompt design, agent architecture, evaluation, guardrails, and human-in-the-loop operating models.
• Experience integrating CRM, sales engagement, marketing automation, enrichment, intent, analytics, or collaboration systems; familiarity with APIs, webhooks, data models, and light scripting.
• Understanding of SDR, sales, revenue operations, or GTM workflows, including prospecting, prioritization, sequencing, qualification, h…