At a Glance
- Tasks: Lead engineering insights and provide expert guidance to top tech companies.
- Company: Join DX, a fast-growing SaaS company backed by Atlassian.
- Benefits: Enjoy health resources, paid volunteer days, and more perks.
- Other info: Be part of a dynamic team with a focus on innovation.
- Why this job: Shape the future of developer productivity with industry leaders.
- Qualifications: Experience in leading engineering teams and strong communication skills.
The predicted salary is between 90000 - 110000 £ per year.
DX is one of the fastest-growing SaaS companies in the country, helping engineering leaders build high-performing, productive teams. Our platform delivers actionable insights into developer experience and productivity - empowering companies like Netflix, Uber, Dell, Pfizer, and Vanguard to operate at their best.
We recently closed on our acquisition by Atlassian, which means more resources behind our mission, faster product innovation, and an even bigger impact for the teams who rely on us.
About the role: We're looking for a Software Engineering Leadership Advisor to join the DX team as a practitioner voice and executive-level advisor. The ideal candidate is someone who has lived the problems our audience faces—someone who has scaled engineering organizations, navigated the transition to AI-assisted development, and made real decisions about developer productivity with real consequences.
You’ll work within our research team to translate data and findings into practitioner-grounded commentary, frameworks, and guidance that resonates with senior engineering leaders. You’ll represent DX externally at executive dinners, on conference stages, on panels, and in advisory conversations with our largest customers.
Think of this role as part industry advisor, part executive coach, part practitioner-in-residence. You bring the credibility and the relationships. We bring the data, the platform, and the publishing engine.
Practitioner commentary and thought leadership:
- Provide practitioner-grounded commentary on research findings, data analyses, and frameworks produced by the research team.
- Co-author and contribute to flagship reports, essays, and talks.
- Develop and contribute to practitioner frameworks, playbooks, and maturity models drawn from your own experience and your network's collective wisdom.
Executive advisory and customer engagement:
- Serve as a trusted advisor to DX’s largest customers and prospects.
- Lead workshops, advisory sessions, and executive briefings where engineering leaders are looking for guidance from someone who's been in their seat.
- Participate in customer inquiries and consultations helping engineering leaders apply DX's research and data to their specific organizational challenges.
- Build and maintain relationships with senior engineering leaders across the industry.
External presence and industry influence:
- Represent DX on conference stages, executive panels, industry podcasts, and at invite-only dinners and roundtables.
- Be a visible, recognized voice in the developer productivity and engineering leadership community.
- Build DX's reputation as the place where senior engineering leaders go for guidance.
Each member of this team is expected to produce:
- Two "small ships" per month: quick, high-signal pieces that capture one strong insight or idea.
- One "big ship" per quarter: a flagship report or talk that combines data, practitioner perspective, and actionable guidance into something that reframes how leaders think about a problem.
Who you are:
- You’ve led engineering organizations or platform/developer experience teams at scale.
- You are known and respected by senior engineering leaders.
- You can provide sharp, credible commentary on data and research without needing to run the analysis yourself.
- You're a strong writer and communicator.
- You're opinionated but intellectually honest.
- You're looking for a role where you can shape how an entire industry thinks about developer productivity and AI.
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Senior Researcher, DX employer: Atlassian
Atlassian is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the United Kingdom. Employees benefit from comprehensive health and wellbeing resources, alongside unique perks that promote a balanced lifestyle. With a strong focus on professional growth and the opportunity to lead transformative AI initiatives, Atlassian empowers its team members to make a meaningful impact while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Researcher, DX
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We think you need these skills to ace Senior Researcher, DX
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atlassian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atlassian
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
