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About the Role
Atlassian is developing Rovo, an intelligent teammate designed to shape the future of teamwork by enabling people and AI agents to collaborate effectively. The Rovo Chat Quality team is responsible for building the evaluation systems, datasets, quality signals, and production ML capabilities to measure and improve Rovo's performance, ensuring customer trust and driving adoption.
Responsibilities
- Architect and build production ML and evaluation systems at scale, including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
- Advance Rovo's agentic capabilities in areas such as reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution.
- Identify systemic failure modes, develop interventions, deploy them to production, and measure their impact on customer outcomes.
- Make high-leverage technical decisions regarding model choice, prompting, fine-tuning, data strategy, system architecture, and inference, balancing quality with performance and cost.
- Lead cross-organizational initiatives with ML, engineering, product, analytics, research, and design partners to define and execute on complex problems.
- Establish reusable methods, systems, and quality standards to improve AI-powered experiences across Atlassian.
- Provide technical leadership, conduct design reviews, mentor engineers, and articulate a vision for building and evaluating AI products.
Requirements
- A track record of architecting and shipping large-scale ML or AI systems that deliver measurable customer and business impact.
- Deep experience with LLM-powered products, agentic systems, model evaluation, experimentation, and dataset development.
- Strong production engineering skills and hands-on experience with a modern ML stack.
- Technical leadership experience, including setting direction, influencing across teams, and leading complex initiatives from ambiguity to production.
- Excellent product and technical judgment, with the ability to balance quality, speed, reliability, safety, latency, and cost.
- Ability to communicate complex ideas clearly and enhance the effectiveness of other engineers through mentorship and technical leadership.
Skills
- Machine Learning
- AI
- LLM
- Agentic Systems
- Model Evaluation
- Experimentation
- Dataset Development
- Production Engineering
- System Architecture
- Technical Leadership
- Mentorship
Location
- Any country where Atlassian has a legal entity
Work Type
- Office
- Home
- Hybrid
Experience Level
- Senior
Salary/Compensations
- Zone A: $206,100 - $269,075
- Zone B: $185,490 - $242,168
- Zone C: $171,063 - $223,332
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- Atlassian's mission is to unleash the potential of every team through software products that facilitate team collaboration.
- Atlassian believes that unique contributions from all employees create success and fosters an inclusive environment.
- Atlassian provides accommodations or adjustments during the recruitment process upon request.
Equal Opportunity
- Atlassian never discriminates based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
- All information will be kept confidential according to EEO guidelines.
- Identity verification, which may include the use of biometric data, is a condition of employment with Atlassian for employment fraud purposes, in line with local law.