Senior Business Process Analyst, AI/Automation for Sales

Overview

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

At Atlassian, we are on a mission to help our customers compete and win in the modern, digital economy. We have built a multi-billion-dollar, fast-growing software business with over 300,000 paying customers, hundreds of sales and implementation partners, and millions of users around the globe. Our culture is open, welcoming, collaborative, and passionately focused on our customers' success.

The Senior Business Process Analyst - AI/Automation for Sales is an individual contributor, with a proven track record of supporting complex, quote-to-cash (QTC) projects at Enterprise software companies. In this role, you will work closely with Sales stakeholders, including Customer Advocate, Enterprise Deal Operations, and SMB sales, to collect and prioritize requirements and enhancement requests, identify improvement opportunities, document business requirements, and support the delivery of our project portfolio in partnership with our IT teams and your business stakeholders.

Responsibilities

• Study and learn the end-to-end processes employed by our Customer Advocate, Enterprise Deal Operations, and SMB sales teams. This is a unique organization with a hybrid profile spanning customer support, customer success, pre-sales, and post-sales support.

• Partner with AI Product Managers/Technical Product Managers to implement technology strategy.

• Brainstorm and evaluate solution options for automation and agentic AI use cases for our Sales and Support teams.

• Understand operational pain points and up/downstream teams to identify and resolve process pain points using process reengineering techniques and through system enhancements.

• Own requirements documentation, including BRDs, process flows, DACIs, wireframes, or other assets used to capture business needs.

• Work with cross-functional teams, including Sales, Technical Support, Channel, and Finance, on your projects. Your work cuts across the full customer lifecycle, so your stakeholders are diverse.

• Partner with our internal technology teams to support and deliver new capabilities and system improvements that increase the efficiency and effectiveness of our Advocates.

• Manage defects and enhancements including identification, resolution, and communication with business partners in the Sales organization by working closely with internal technology teams.

• Participate in user acceptance, smoke testing, and implementation activities.

• Create and deliver training and enablement content for projects you're managing.

Qualifications

• 5+ years of experience in Sales Operations, Sales Technology, or Customer Support/Success in an “analyst” position (business, process, systems, functional, etc.)

• Experience working in a high-growth enterprise software company

• Experience working with AI platforms/tools (e.g., OpenAI, Google Vertex AI, Microsoft Azure AI, Salesforce Einstein).

• Ability to evaluate and implement AI/ML, Agentic, and RPA solutions to improve sales and support workflows (e.g., process automation, AI-driven analytics, forecasting).

• Understanding of prompt engineering, training data collection, and the basics of model performance evaluation in a business context.

• Ability to translate business needs into AI use cases and collaborate with data scientists/ML engineers on deployment.

• An ability to dive into details, but also step back and reframe a problem more strategically

• You have a passion for learning - new tools, processes, ways of working, etc. and are open to change and doing things in new ways.

• You are a self-starter and thrive in fast-changing environments where goals are often clear but tactics are not. Atlassian is a dynamic, fast-paced company, so adaptability and flexibility are a must.

• Analytical thinking, backed up by a metrics-guided approach. You use data to frame, inform, and guide the prioritization and decision-making process, to manage the health of your projects through delivery, and to assess the success and impact once you are done. This may include ROI analysis, capacity planning and budgeting, TCO analysis, revenue modeling, and more.

• Strong influencing skills. As an individual contributor, you will rely on lots of other people to help define the plan