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.
  

Carolyn Ann Santibanez Mendoza EA License No. 02C3423 Personnel Registration No. R1105160

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