Who We Are Building the AI-first frontier enterprise. We are a integral 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 aResearch 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) - UseGenerative 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 practicesfor 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.

📌 AI Native Design Researcher (Ciudad de México)
🏢 Palo It
📍 Ciudad de México