Product Mangement SME
Pay listed on role
Verified partner opportunity
Pay listed by partner
AI Product Manager opportunity listed by Turing.
AI Product Manager opportunity listed by Turing. Read the official requirements below before applying.
Official job description checked 2026-10-24:
Product Manager (AI & Process Automation)
Location: Remote
Open Position : 1
About the Engagement
You will be the sole Product Manager embedded in a cross-functional engineering team building a cloud-agnostic, multi-tenant platform for deploying, certifying, and distributing AI agents at enterprise scale. This is a greenfield platform engineering programme running across three phases over approximately 12 months, delivered for a government-aligned client.
What You Will Own
Backlog & Prioritisation Define and maintain the product backlog across all three phases. Translate SOW deliverables into sprint-ready user stories with clear acceptance criteria. Make prioritisation calls when scope, time, and quality are in tension.
Persona & Requirements Management The platform serves four distinct personas
Agent Developer, Platform Engineer, Security/Compliance Officer, and Product Manager (internal). You own the requirements and success criteria for each persona across the portal, evaluation pipeline, certification workflow, and marketplace catalog.
Stakeholder Management Primary interface between the Turing delivery team and client product and operations stakeholders. Run structured discovery sessions, demo sprint outcomes, collect feedback, and convert it into actionable backlog items.
Phase Gate Ownership Define and enforce exit criteria for each phase. Ensure Phase 1 single-tenant provisioning, Phase 2 multi-tenancy and governance, and Phase 3 certification and marketplace launch are delivered against agreed scope
not just technically complete but operationally ready.
Compliance Awareness Understand the product implications of KSA's PDPL and NDMO framework. Ensure user-facing features
data handling flows, consent mechanisms, audit trails
are built with regulatory requirements reflected in acceptance criteria, not retrofitted.
Must-Have
7+ years in product management, with at least 2 years on platform or infrastructure products
Experience owning backlogs for technical platforms
APIs, developer tooling, or data platforms
Comfortable writing detailed user stories and acceptance criteria for engineering audiences
Strong stakeholder management across engineering, client, and executive layers
Experience running agile delivery (Scrum or Kanban) with distributed teams
Familiarity with AI/ML concepts
enough to hold substantive conversations with GenAI and ML engineers
Hands-on with Jira, Confluence, or equivalent backlog and documentation tooling
Good experience in marketplace(AI/Non-AI)/Platform(AI/Non-AI)
Nice-to-Have
Prior experience on agent platforms, LLM tooling, or AI marketplace products
Exposure to KSA or broader GCC market engagements
Understanding of data privacy regulations (PDPL, GDPR, or equivalent)
Experience working on multi-tenant SaaS or PaaS platforms
Familiarity with SOW-driven delivery models and commercial milestone structures
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