AI Native Design Researcher

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

• We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

• We are robust and resilient (100% independent, 0 debt, founded 2009)

• We are AI-native professionals who invest in what we believe and work as a collective intelligence

• We are positive, courageous and deliver at the leading edge.

Your Role

As a Research Ops & Insights Enablement, you will establish, scale, and govern the Research Ops practice to enable continuous, reliable, and decision-oriented research across the organization. You will build the operational backbone that allows mixed-method research to happen with speed, rigor, and trust, while integrating AI as an accelerator for analysis and synthesis.

• Define and scale the Research Ops model, including governance, standards, workflows, and ownership

• Establish ethical standards, consent practices, research governance, and participant data management

• Build operational systems for continuous discovery and ongoing research programs

• Enable mixed-method research through structured triangulation of qualitative and quantitative signals

• Design and optimize research workflows from intake and prioritization to repository, synthesis, and activation

• Build and maintain the research tooling ecosystem, including platforms such as Dovetail, Maze, Looker, and Hotjar

• Integrate AI-assisted analysis and synthesis, leveraging GPT and automation to accelerate pattern detection, summarization, and insight distribution

• Create scalable systems for knowledge management, taxonomy, tagging, repository quality, and evidence retrieval

• Define and track OKRs and KPIs tied to uncertainty reduction, decision quality, research adoption, and operational efficiency

• Partner with Product, Design, Data, and Engineering to embed research into roadmap and decision-making cycles

• Improve the speed, consistency, and usability of insights across teams

• Act as a strategic enabler for research maturity, helping teams move from ad hoc studies to a trusted continuous-learning system

Who You Are

• Proven experience in Research Ops, UX Research Operations, Insights Operations, or Research Program Management

• Strong command of advanced mixed methods, including qualitative and quantitative triangulation

• Solid understanding of applied statistics and decision-oriented research interpretation

• Hands-on experience with research repositories and insight platforms such as Dovetail and Maze

• Familiarity with analytics and behavior tools such as Looker and Hotjar

• Experience using AI tools for research analysis, synthesis, and knowledge scaling

• Strong understanding of research governance, ethics, consent, and operational quality

• Ability to design scalable processes that support continuous discovery and democratized research access

Soft Skills

• Strong critical thinking

• Advanced synthesis and pattern recognition

• Excellent stakeholder management

• Strong analytical judgment

• Ability to bring clarity in complex and ambiguous environments

AI-Native Engineering (Core Expectation)

• Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

• Code scaffolding and refactoring

• Code generation and optimisation

• Test-cases and documentation generation

• Build applications through AI-driven development practices, including:

• AI-assisted debugging and troubleshooting

• Intelligent code completion and pattern recognition

• Automated documentation generation

• Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

• Validate GenAI output (determinism checks, guardrails, fallback logic)

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects (including Gen-e2™)

• Knowledge sharing

• Personalized training via PALO IT Academy

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.