Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 7+ years of experience managing software engineering teams at scale.
• Experience delivering impactful AI/ML solutions in production environments.
• Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.
• Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.
• Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.
• Strong communication and collaboration skills.
• Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR).
• Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.

Nice to Haves

• Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features.
• Familiarity with regulated industries (e.g., finance, healthcare).
• Experience deploying AI solutions to complex production systems at scale.
• Prior experience mentoring or leading engineering teams.

What you'll be doing

• Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
• Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation.
• Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
• Champion the adoption of AI-augmented workflow automation within customer environments.
• Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.
• Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.

Perks and Benefits

• Health coverage
• Paid volunteer days
• Wellness resources