Product Manager, Clinical AI

Product Team · Full time, permanent · Remote (Africa)

ThinkMD is hiring! We're looking for a clinician product manager to own our frontline health worker product, help build our citizen-facing product from 0 to 1, and turn our clinical AI strategy into features that work safely in low-resource settings.

About ThinkMD

ThinkMD is an AI health and data company combating global healthcare inequity by distributing highly accessible healthcare through decision support tools for varying cadres of frontline healthcare workers, and generating insights to drive national-level decision making.

Our clinical logic is built on physician-developed Bayesian reasoning aligned with WHO guidelines and IMCI protocols, and it works offline. It has been clinically validated against physician assessment in field studies, and that validated, deterministic foundation is what we build on as we bring generative AI into frontline care. It has supported more than 60M clinical assessments for more than 3.8M patients across more than 1,300 facilities in 12 countries, with deployments across both the public and private sectors. The encounter data it generates gives partners and governments a real-time view of frontline care and disease trends.

About the role

ThinkMD runs products that work as one system: decision support that frontline health workers use at the point of care, a citizen-facing triage and care navigation product we are building now, and the clinical encounter data that flows from both.

You will own and drive the roadmap for the frontline health worker product, and help build the citizen-facing product from 0 to 1. You will bring clinical, AI and patient-facing product thinking together in one role, working closely with a small engineering team, our clinical and design colleagues and our partners to take products from discovery through to release and measurable impact. You will report to the Chief Product Officer.

Two things set this role apart. First, our AI is clinically governed by design. ThinkMD's deterministic, clinically validated logic is designed to act as the harness for LLMs. The hard questions are about where AI can act, where it assists, and where a clinician must stay in the loop. Second, clinical judgement is part of the job, not a consultation step. You will contribute to clinical review alongside our Clinical Lead, so the person shaping the product understands the care it supports.

The role includes occasional travel to partner countries and conferences.

What you will doProduct ownership and delivery

• Act as product owner for sprints: roadmap planning that balances business goals, clinical outcomes and usability.
• Drive sprint planning, cross-functional collaboration, UAT, release planning and customer roll-out.
• Work directly with engineers on design documents and the clinical logic engine, making credible trade-offs between scope, quality and timeline.

Roadmap and requirements

• Drive the product roadmap across the clinical and citizen-facing products, with support from the CPO.
• Write long-form epic PRDs and keep them current, and write product tickets with clear acceptance criteria that then pass through design, regulatory, clinical and peer review.

Clinical content and clinical safety

• Specify, with the Clinical Lead, how the application captures and acts on clinical content, and support clinical review of new clinical capabilities.
• Clinical content, its validation, and regulatory and SaMD work are owned by our Clinical Lead, and this role works in tight collaboration with them.

AI product and evaluation

• Translate ThinkMD's clinical AI strategy into product requirements, using our deterministic clinical logic as the harness.
• Scope, specify, test, validate and launch new LLM and hybrid features for frontline health workers.
• Own the AI evaluation framework with the Clinical Lead.
• Ensure features are contextually fit for purpose and localised, considering offline capability, local languages and cost-effectiveness.
• Apply ThinkMD's AI principles: problem first, augment rather than replace the health worker, and ensure clinical quality is always maintained.
• Track the global health AI field, including benchmarks, evaluation working groups and published trials, and turn it into roadmap recommendations and evidence-generation plans.

Citizen-facing discovery and partners

• Lead product requirements, prototypes and analysis for new citizen-facing products, and contribute to the Lean Canvas fortnightly reviews.
• Shape the 0–1 triage and care navigation product with telco and insurer partners, including urgency triage, handoff to pharmacies and clinics, and follow-up.
• Design lean experiments that test what people do, not only what they say: low-build pilots on messaging channels, smoke tests and retrospective validation against historical case data.
• Work with the commercial team on partner value propositions, and join partner and customer calls where product input is needed.

User research and representation

• Conduct user research with the product design team, and represent ThinkMD at demos and conferences.

Who we're looking forEducation and experience (essential)

• Medical degree (MD/MBBS or equivalent), with experience of clinical practice in low- and middle-income countries.
• Able to contribute to clinical review alongside the Clinical Lead and CPO, including clinical review of content, risk assessments and releases.
• Proven experience as product owner for a small engineering team.
• Able to write a long-form PRD and keep it current as the product evolves.
• Strong understanding of clinical decision support and clinical reasoning.
• Hands-on experience specifying and evaluating LLM-based product features, including prompt design, retrieval (RAG) and evaluation of accuracy and safety.
• Experience taking a product from 0 to 1 using lean experimentation and evidence of real user behaviour.
• Excellent written and verbal communication across clinical, technical and partner audiences.
• Experience in global health, digital health or a startup environment.
• User research and discovery experience with health workers or patients.

Nice to have

• Experience with Bayesian clinical logic, medical knowledge graphs and health informatics.
• Experience with regulatory processes for medical devices or SaMD.
• Experience designing or contributing to clinical validation studies or trials of digital health or AI tools.
• Experience with consumer health products, telco or insurer partnerships, or messaging channels such as WhatsApp and SMS.
• Working knowledge of SQL, Snowflake, dbt or Tableau.

Mindsets

• Clinically grounded, bringing practising clinician judgement to every product decision
• Technically fluent and comfortable in the detail of how the software and data actually work
• Detail-oriented and meticulous about quality care outcomes delivered through our products
• Organised and decisive, balancing delivery, clinical safety and data work without one crowding out the others
• Collaborative and empathetic, bridging clinical, engineering and partner teams and understanding user needs
• Proactive and self-driven, with strong execution muscle
• Adaptable and resilient, thriving in ambiguity and learning quickly
• Ethical and responsible, committed to data privacy, security and fairness in AI
• Patient-centred, driven by a passion for improving patient care

Why you should join us

Impact at scale. Our decision support is presently in use in 7 countries, helping frontline health workers deliver better care where doctors are scarce.

AI done properly. You will help set how generative AI is used safely in frontline care, harnessed by clinical logic that has already been validated in the field.

Real ownership. In a small team, you will own products end to end and see the impact of your decisions quickly.

• A rare dataset. Clinical encounter data from frontline care across public and private sectors, with the potential to drive population-level decision making at scale.