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Turing · Remote job

AI Product Manager

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Turing when you’re readyApply on Turing →

You apply directly on Turing's site. Applying is free. Posted Sep 30, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Turing screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Product Operations Manager. It covers:

Cross-functional collaborationRisk managementData-driven decision-making

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on Turing →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

STEP 2 · APPLY

Apply for this role

You apply on Turing's own site. It’s free, and you can apply even if you skip the practice.

Apply on Turing →

Who this role suits

Experienced professionals who want flexible remote projects that use their industry know-how.

Product Management

Full job description

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

Last checked open on Oct 28, 2026. Job description provided by Turing.

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