Role Description We’re looking for a Senior Researcher (remote - US) to help define the industry’s understanding of developer productivity and the impact of AI on software engineering. In this role, you will: - Lead original, high-signal research that combines quantitative data, qualitative insights, and real-world stories from hundreds of engineering organizations. - Develop and evolve frameworks, models, and measurement approaches that become reference points for CTOs, VPs of Engineering, and industry analysts. - Produce flagship reports and essays that move the conversation forward and shape how leaders talk about developer productivity and AI. You’ll operate as a top-of-ladder IC: setting direction for major research themes, partnering closely with product, marketing, and sales, and representing DX and Atlassian in the broader industry. Responsibilities What you’ll ship: - Two “small ships” per month – quick, high-signal pieces that capture one strong insight or idea. For example: - An insight or trend we’re seeing in the data (e.g., how AI is changing specific workflows). - Key takeaways from a panel, webinar, or interview with senior engineering leaders. - A framework or mental model for how to think about a relevant problem (e.g., measuring developer productivity in hybrid teams). - One “big ship” per quarter – a flagship piece that combines multiple data points, stories, and perspectives into something that reframes how leaders think about a problem. That might include: - A major AI Impact Report sharing insights and trends from data across hundreds of companies. - Regular updates with commentary to our industry benchmarks. - A deep-dive framework that becomes the default way leaders talk about a complex topic. - A compilation of “small ships” that come together in a cohesive guide on a topic that our audience wants help with or answers to. Qualifications - Deep experience (often 7+ years) in developer productivity, software engineering research, or closely related fields – e.g., engineering leadership, developer experience, socio-technical systems, or software metrics. - Proven track record of publishing high-impact work: industry reports, academic papers, widely read essays, or frameworks that have influenced how organizations operate. - Comfortable operating at the level of CTOs, VPs of Engineering, and Heads of Platform/DevEx – you can earn their trust and withstand their scrutiny. - Strong quantitative and qualitative research skills; you know how to separate signal from noise and avoid misleading conclusions. - Exceptional writer and communicator: you can explain complex ideas in a way that is clear, concise, and actionable for busy leaders. - Opinionated but open-minded: you’re willing to take a stand, but you update your views when the evidence changes. - Low ego, high ownership: you care more about the quality and impact of the work than about credit. Requirements - Experience working inside large engineering organizations or platforms teams. - Prior roles as a Field CTO, Deputy CTO, Principal Engineer, or similar. - Experience collaborating with product and go-to-market teams to turn research into product and narrative. - A network of senior engineering leaders, researchers, and practitioners you can tap for feedback and collaboration. Benefits - Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. - Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Senior Researcher (remote - US) to help define the industry’s understanding of developer productivity and the impact of AI on software engineering. In this role, you will: - Lead original, high-signal research that combines quantitative data, qualitative insights, and real-world stories from hundreds of engineering organizations. - Develop and evolve frameworks, models, and measurement approaches that become reference points for CTOs, VPs of Engineering, and industry analysts. - Produce flagship reports and essays that move the conversation forward and shape how leaders talk about developer productivity and AI. You’ll operate as a top-of-ladder IC: setting direction for major research themes, partnering closely with product, marketing, and sales, and representing DX and Atlassian in the broader industry. Responsibilities What you’ll ship: - Two “small ships” per month – quick, high-signal pieces that capture one strong insight or idea. For example: - An insight or trend we’re seeing in the data (e.g., how AI is changing specific workflows). - Key takeaways from a panel, webinar, or interview with senior engineering leaders. - A framework or mental model for how to think about a relevant problem (e.g., measuring developer productivity in hybrid teams). - One “big ship” per quarter – a flagship piece that combines multiple data points, stories, and perspectives into something that reframes how leaders think about a problem. That might include: - A major AI Impact Report sharing insights and trends from data across hundreds of companies. - Regular updates with commentary to our industry benchmarks. - A deep-dive framework that becomes the default way leaders talk about a complex topic. - A compilation of “small ships” that come together in a cohesive guide on a topic that our audience wants help with or answers to. Qualifications - Deep experience (often 7+ years) in developer productivity, software engineering research, or closely related fields – e.g., engineering leadership, developer experience, socio-technical systems, or software metrics. - Proven track record of publishing high-impact work: industry reports, academic papers, widely read essays, or frameworks that have influenced how organizations operate. - Comfortable operating at the level of CTOs, VPs of Engineering, and Heads of Platform/DevEx – you can earn their trust and withstand their scrutiny. - Strong quantitative and qualitative research skills; you know how to separate signal from noise and avoid misleading conclusions. - Exceptional writer and communicator: you can explain complex ideas in a way that is clear, concise, and actionable for busy leaders. - Opinionated but open-minded: you’re willing to take a stand, but you update your views when the evidence changes. - Low ego, high ownership: you care more about the quality and impact of the work than about credit. Requirements - Experience working inside large engineering organizations or platforms teams. - Prior roles as a Field CTO, Deputy CTO, Principal Engineer, or similar. - Experience collaborating with product and go-to-market teams to turn research into product and narrative. - A network of senior engineering leaders, researchers, and practitioners you can tap for feedback and collaboration. Benefits - Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. - Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

• Lead or contribute to multiple projects that strengthen the invertebrate welfare research ecosystem • Create a comprehensive, searchable husbandry database documenting species-specific care practices for research and captive invertebrate populations • Produce short, peer-reviewed syntheses on welfare-relevant topics including anesthesia, enrichment, and humane endpoints • Develop a library of concise, classroom-ready materials that introduce welfare concepts for standard laboratory and field contexts • Manage the IWRS Early Career Committee, coordinating activities and supporting emerging researchers in the field • Produce an annual synthesis documenting research activity, institutional developments, and welfare practice trends across the invertebrate welfare community

• Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions. • Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments. • Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding. • Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions. • End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production. • Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers and promote a culture of rigorous, production-oriented development. • Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions. • Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications.