Working with clients and internal stakeholders to translate business problems into research objectives and projects.
Designing surveys that address the research needs of our clients and driving their desired outcomes (whether validating a thesis with data, or writing a thought leadership paper on the future of software).
Analysing data (using Python) to extract actionable insights on developer behaviours, preferences, and market trends.
Producing clear, well-structured reports that explain both the findings and their relevance (answering the “so what?” behind the results).
Presenting findings in client briefings, webinars, and other external-facing formats.
Contributing to the design of our global developer surveys, asking the right questions given our research objectives.
Actively building expertise in software development, AI, and the developer ecosystem
developing an informed point of view that shapes our research agenda and client conversations.
Developing deep domain expertise in AI technology trends, developer tools, and software engineering practices
building a credible point of view, not just reporting data.
Contributing to SlashData's published indices and trackers.
Building and maintaining direct advisory relationships with client stakeholders, being a core part of the client relationship.
Developing foresight on where AI technology trends are heading
helping clients see around the corner, not just understand what happened.
Requirements
2 to 5 years of experience in market research, data analysis, and client project delivery.
Experience in working with stakeholders to understand business objectives and define research projects that address their needs.
Excellent business writing skills (English), with the ability to effectively communicate complex findings to non-technical audiences.
Demonstrated experience in writing clear, evidence-based research reports that turn data into actionable insights.
Ability to identify the implications behind the data and answer the “so what?” clearly.
Strong presentation skills, preferably with experience in delivering client briefings.
Strong data analysis skills, including hands-on experience with Python, R, or similar scripting tools, and familiarity with SQL.
At least a basic understanding of statistics and applied quantitative methods, such as segmentation, clustering and classification.
Ability to visualise data clearly and effectively through easy-to-understand charts and graphics.
Comfortable working as part of a distributed team, with mutual flexibility around working hours and occasional client meetings held after 17:00 UK time.
Genuine curiosity about technology trends
you follow AI, developer tools, or software engineering developments because you find them interesting, not just because a job requires it.
Confidence in client-facing settings
you can hold your own in a conversation with a Head of Product or VP of Engineering, not just present slides to them.
Tech Stack
Python
SQL
Benefits
Meaningful Work at the Centre of AI & Software Evolution
Competitive base salary depending on experience and location
Additional bonus based on company profitability
Two team events per year:
Flexible working environment built on trust and ownership
No dress code
£1,000 Annual Personal Development Budget
£500 annual co-working budget to collaborate in person with teammates when working on projects
£500 initial home office setup budget (plus Laptop) to ensure you have the right equipment