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AI Native Design Researcher

PALO ITOtherHybridFull-timePALO IT Mexico· posted 3h ago

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 https://www.palo-it.com/en/career.