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Paloitvia Greenhouse

AI First Design Researcher

Ciudad de MéxicoPosted 1mo ago
OtherMid LevelFull-time

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About the Role

 

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. 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 (5 continents, 18 offices, +650 experts from +50 nationalities)
  • We are robust and resilient (100% independent and 0 debt)
  • We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
  • We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

  • We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot
  • The quality consistently exceeds the output of our best traditional engineering teams
  • A product repository houses all product artefacts, giving AI full project context for higher-quality generation
  • A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

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

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