Agile Product Manager

Systems Limited - APAC; Kuala Lumpur; On-site; MYR 300,000 - 550,000; Full time

Job summary

Systems Limited - APAC is seeking an Agile Product Manager with 10+ years of experience to own the product outcome of an AI engagement, turning business goals into a prioritized backlog and defining what 'working' means for a non-deterministic system.

You will lead discovery with stakeholders, define success criteria, manage release plans from PoC to scale, and drive adoption while overseeing governance and value realisation.

Qualifications

• 10+ yrs product management or product ownership, incl. 3+ yrs in AI/ML or data-heavy products.
• Fluent in agile delivery (Scrum/Kanban/SAFe) with backlog pressure.
• Understands the AI delivery lifecycle - data readiness, evaluation, deployment, monitoring, retraining.
• Technically literate to challenge feasibility, cost and latency claims for probabilistic outputs.
• Strong discovery and facilitation skills with senior stakeholders.

Responsibilities

• Own the product backlog for AI engagements - outcome-framed epics prioritized by value, feasibility and risk.
• Translate business outcomes into AI use cases with explicit success criteria and acceptance thresholds.
• Run discovery with client stakeholders and users to separate real problems from AI-shaped solutions.
• Define what 'good enough' means for a non-deterministic system, with AI Assurance and client jointly.
• Own the release plan across PoC, pilot and scale, including human-in-the-loop and fallback behaviour.
• Prioritize data readiness and integration work alongside model work, not after it.
• Run sprint ceremonies for the delivery pod and keep the team unblocked against priorities.
• Manage scope, timeline and client expectations when model performance is uncertain.
• Own adoption and change management - training, rollout comms, and measuring real usage.
• Track value realization post-launch and feed it back into the roadmap.
• Own responsible-AI and governance sign-off in the delivery flow, with Governance and Security.
• Report progress, risk and outcomes to client and firm leadership.

Skills

Agile delivery

Backlog ownership

Stakeholder facilitation

Data literacy

Change management

Tools

Scrum

Kanban

SAFe

Job description

We are seeking a Agile Product Manager with approximately 10+ years of experience in the field. Owns the product outcome of an AI engagement - turning business goals into a prioritized, testable backlog, holding the line on what "working" means for a non-deterministic system, and driving adoption once it ships.

Responsibilities:

• Own the product backlog for AI engagements - outcome-framed epics, prioritized by value, feasibility and risk
• Translate business outcomes into AI use cases with explicit success criteria and acceptance thresholds
• Run discovery with client stakeholders and users to separate real problems from AI-shaped solutions
• Define what "good enough" means for a non-deterministic system, with AI Assurance and the client jointly
• Own the release plan across PoC, pilot and scale, including human-in-the-loop and fallback behaviour
• Prioritize data readiness and integration work alongside model work, not after it
• Run sprint ceremonies for the delivery pod and keep the team unblocked against a single set of priorities
• Manage scope, timeline and client expectations when model performance is uncertain
• Own adoption and change management - training, rollout comms, and measuring real usage
• Track value realization post-launch and feed it back into the roadmap
• Own responsible-AI and governance sign-off in the delivery flow, with Governance and Security
• Report progress, risk and outcomes to client and firm leadership

Requirements:

• 10+ yrs product management or product ownership, including 3+ yrs on AI/ML or data-intensive products
• Fluent in agile delivery (Scrum/Kanban/SAFe) and comfortable owning a backlog under real timeline pressure
• Understands the AI delivery lifecycle - data readiness, evaluation, deployment, monitoring, retraining
• Technically literate enough to challenge feasibility, cost and latency claims without designing the solution
• Comfortable writing acceptance criteria for probabilistic outputs - thresholds, guardrails, escalation paths
• Familiar with AI eval and observability practices well enough to act on the results
• Working knowledge of responsible-AI, privacy and governance obligations in regulated environments
• Strong discovery and facilitation skills - workshops, interviews, prioritization with senior stakeholders
• Data-literate on outcome measurement - instrumentation, adoption metrics, benefit tracking
• Clear communicator who can hold a client to a decision and say no to scope that will not deliver value
• Experience running change management and adoption for a system that alters how people work
• Success metrics: value realized against the business case - adoption/active usage post-launch - release predictability across PoC to scale - client-reported clarity of scope and priorities