Job Scope

Product Strategy & Roadmap

Define and maintain the product vision and roadmap for selected digital mental health and AI-enabled initiatives
Translate strategic objectives into prioritised backlogs, epics and user stories with clear acceptance criteria.
Review and adjust roadmap based on data, user feedback, and system constraints.

AI Product Design & Governance

Define use cases for AI-enabled features (e.g., co-pilot tools, triage support, recommendation engines) grounded in clear problem statements and measurable outcomes.
Work with data science and engineering teams to translate model capabilities and limitations into usable, safe product features.
Ensure human-in-the-loop safeguards, escalation logic, explainability elements, and appropriate UX disclosures are embedded into product design.
Define model evaluation metrics (e.g., precision/recall for risk alerts, response quality benchmarks, latency thresholds) and acceptance thresholds prior to deployment.
Oversee responsible AI governance, including bias risk assessment, data provenance considerations, auditability, and monitoring for model drift.

Delivery & Cross-Functional Coordination

Lead sprint planning, backlog grooming and prioritisation in collaboration with engineering, data science, UX, and operations teams.
Define clear product requirements documents (PRDs), including data flows, edge cases, risk scenarios and non-functional requirements.
Ensure alignment between frontend, backend, analytics and ML components.
Coordinate UAT, stakeholder reviews, and release readiness signoffs.

Data, Metrics & Impact Tracking

Define north-star and operational KPIs (e.g., engagement, completion rates, workflow efficiency, response times, escalation accuracy).
Work with analytics teams to measure user behaviour and AI system performance.
Interpret data to guide iteration, feature sunsetting, or scaling decisions.
Ensure product decisions are evidence-informed and evaluation-ready.

Documentation, Risk & Transition

Maintain comprehensive documentation of product requirements, workflows, system dependencies and governance controls.
Develop knowledge transfer artefacts to support long-term sustainability and ownership transitions.
Identify operational, clinical and reputational risks associated with AI-enabled features and implement mitigation plans.
Support audit, compliance, and security review processes.

User Research & Validation

Conduct user research across help-seekers, counsellors, clinicians and administrators to validate needs and usability.
Design and oversee pilots and controlled rollouts of new AI-enabled capabilities.
Translate qualitative and quantitative findings into actionable product improvements.
Ensure continuous feedback loops are embedded into product lifecycle.
Coordinate with research partners to run evaluation studies of the deployed system.

Job Qualifications

Bachelor’s in Computer Science, Engineering, Business, or related field.
5+ years of product management experience, ideally in digital health, AI, or SaaS.
Knowledge of AI/ML concepts, responsible AI governance, and UX design principles.
Skilled in agile methodologies, backlog prioritization, and cross-functional team leadership.
Proven ability to define product vision, roadmaps, KPIs, and translate data insights into product decisions.
Experience with compliance, risk management, and audit processes.
Excellent communication and stakeholder management skills.
Passion for digital health innovation and evidence-based product development.

Interested Candidates may send their resume and cover letter directly to[email protected]

,stating the position as the subject title in the email.

Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109

Product Manager | Digital Health & AI (Contract)