AI Product Owner
Posted 13 Oct 2026
Advertised as “AI Native Product Owner/Project Manager Senior”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5–8 yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Quick answer: what is this job?
PALO IT is hiring an AI Product Owner / Project Manager in CDMX to orchestrate AI-native product development initiatives across multiple workstreams. The role sits in a technology consultancy of 400+ experts across 9 countries, and requires balancing business value, user needs, AI capability, and delivery health, and involves strong stakeholder alignment and evidence-led leadership.
Who We Are
Building the AI-first frontier enterprise.
We are a global 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.
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We are small enough to care locally, big enough to deliver globally (9 countries, 400+ experts from 50+ nationalities)
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We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
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We are robust and resilient (100% independent, 0 debt, founded 2009)
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We are AI-native professionals who invest in what we believe and work as a collective intelligence
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We are positive, courageous and deliver at the leading edge
What does an AI Product Owner / Project Manager do at PALO IT?
As an AI Product Owner / Project Manager at PALO IT, you will:
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AI Delivery: Plan and track project milestones using AI for estimates, risk assessment, and capacity management. Automate reporting and backlog operations while ensuring quality through AI-powered testing.
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Client Success: Manage client relationships and expectations with predictive insights, track value and ROI, and lead cross-team delivery and scope alignment. Drive adoption through AI-supported change management.
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Team and Process Optimization: Coach teams using AI insights, improve workflows and documentation, facilitate workshops and retrospectives, and innovate processes through tools, automation, and metrics.