- 1-year contract, renewable
- Hybrid work arrangement
- Goverment project
The goal is to refine how the system understands user intent, provides safe and empathetic responses, and integrates seamlessly into clinical or selfguided workflows. Your guidance on user requirements, feature prioritization, stakeholder management, and overall product strategy will be essential in ensuring that Dialogue AI delivers meaningful, responsible, and scalable value to both endusers and mental health professionals.
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 sign-offs.
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.
Requirements
Minimum 3 years of experience in product management, preferably in digital health, AI or related fields
Experience defining product roadmaps, backlogs, user stories and PRDs
Familiarity with AI-enabled features and responsible AI considerations (e.g., safety, bias, human-in-the-loop)
Ability to work with cross-functional teams (engineering, data science, UX, operations)
Experience with Agile processes and coordinating UAT and releases
Strong stakeholder management and communication skills
Ability to define and track KPIs and use data to guide decisions
Experience in user research, pilots or product validation is an advantage
Strong documentation and organisational skills
Experience in healthcare or mental health domain is a plus
