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Atlassian

Head of Forward Deployed Engineering EMEA

Reposted One Month Ago
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In-Office or Remote
Hiring Remotely in EC1V 1, London, England
Senior level
In-Office or Remote
Hiring Remotely in EC1V 1, London, England
Senior level
Lead and grow the EMEA Forward Deployed Engineering team to design, deliver, and deploy applied AI/ML solutions. Hire and mentor engineers, drive 0-to-1 product development, ensure production-grade architectures, monitor models in production, manage AI risk and GDPR compliance, and align technical work with business outcomes while communicating with stakeholders.
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Engineering | London, United Kingdom | Remote, UK
Working at Atlassian
Atlassians have flexibility in 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, as part of being a distributed-first company.
Your future team
As a Head of Forward Deployed Engineering EMEA at Atlassian, you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian's AI capabilities to solve complex, real-world problems. You'll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork.
What you'll do
As a Head of Forward Deployed Engineering EMEA, you will:
  • 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-ensuring rapid, high-quality delivery of customer-focused, production-ready solutions.
  • 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, maximizing business value and operational efficiency.
  • 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, creating concise artifacts for peers, partners, and leadership.
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.

Your background
On the first day, we'll expect you to have:
  • 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, including experience as a founding or forward-deployed engineer in 0-to-1 product development.
  • 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, with experience influencing cross-functional teams without formal authority.
  • 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.

It's great, but not required, if you have:
  • 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.

Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit

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