Datarails is growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
Datarails is a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data — from reports to forecasts to deep analytics. Now, we’re ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impact—this is the role for you.
Drive the adoption of AI-based development tools and workflows across the R&D organization.
● Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
● Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
● Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
● Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
● Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.
● Proven software development experience, with hands-on familiarity with modern IDEs, developer tools, and workflows.
● Deep interest in AI and its applications in software engineering – including copilots, AI-assisted programming, and code generation.
● Demonstrated ability to take initiative, experiment, and lead change across teams.
● Strong communication and collaboration skills – comfortable influencing engineers and managers alike.
● Ability to think strategically and translate AI potential into practical engineering wins.
● Experience in R&D organizations or platform/DevEx roles – advantage.
● Prior experience with AI tooling, prompt engineering, or LLM-based integrations – advantage.
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