Ai Native Design Researcher (Xico)

Ai Native Design Researcher (Xico)

01 ago
|
Palo It
|
Xico

01 ago

Palo It

Xico

Who We Are
Building the AI-first frontier enterprise.
We are a integral technology consultancy with a trademarked, AI-first approach
—Gen-e2TM
. 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 ****)
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-e2TM)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship
For more on our team culture and benefits, check out our careers page.
#J-*****-Ljbffr

📌 Ai Native Design Researcher (Xico)
🏢 Palo It
📍 Xico

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