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 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.

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📌 AI Native Design Researcher (Nezahualcóyotl)
🏢 Palo It
📍 Nezahualcóyotl