Who We Are

Building the AI-first frontier enterprise.

We are a general 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.

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