Agile Product Manager

Systems Limited; Karachi Division; On-site; PKR 3,000,000 - 6,000,000; Full time

Job summary

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

You will run discovery with client stakeholders, write acceptance criteria for probabilistic outputs, manage release plans from PoC to scale, and drive adoption through training and change communications.

Qualifications

• 10+ years in product management or product ownership.
• 3+ years on AI/ML or data-intensive products.
• Fluent in agile delivery (Scrum/Kanban/SAFe) and able to own a backlog under timeline pressure.
• Ability to write acceptance criteria for probabilistic outputs.
• Experience with responsible-AI, privacy and governance obligations.

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 thresholds.
• Run discovery with client stakeholders to separate real problems from AI-shaped solutions.
• Define what 'good enough' means for a non-deterministic system with AI Assurance and client.
• 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.
• Run sprint ceremonies for delivery pod and keep team aligned on 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

Communication

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