Head of Product & Technology (CTPO – AI & Product)

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NexthireHealthTech, Women’s Health
Remote position with some overlap required with India or US time zones., India or US time zonesContractExecutive
Salary not disclosed
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Job Details

Experience
8–10 years
Required Skills
Artificial IntelligenceRESTful APIsLLM

Requirements

  • 8–10 years in product management, technology leadership, or engineering
  • Experience as an AI Product Manager, Technical Product Manager, or similar role
  • Proven track record of building and scaling consumer-facing digital products
  • Experience with at least one AI or large language model-powered product (e.g., chatbot, copilot, personalization system, or workflow automation)
  • Prior experience in healthcare, health tech, wellness, or femtech strongly preferred
  • Experience with health data, behavior change, or regulated environments is a plus
  • Strong product thinking with deep empathy for women navigating peri/menopause and midlife health challenges
  • Solid technical foundation: able to read code and architectural diagrams, discuss trade-offs with engineers, and prototype with APIs or LLMs
  • Ability to translate medical and scientific concepts into usable digital experiences and AI-assisted flows
  • Data-driven mindset, comfortable using analytics and experiments to inform decisions
  • Comfortable operating in ambiguity and early-stage environments, with a bias toward action and learning

Responsibilities

  • Own and define the product roadmap aligned with Miror’s vision of holistic menopausal care and long-term health outcomes.
  • Lead discovery to deeply understand user needs across symptoms, lifestyle, mental health, and engagement, especially for women navigating peri/menopause.
  • Translate clinical and hormonal health protocols into user-friendly digital journeys and AI-assisted experiences.
  • Design and iterate on features for symptom tracking and trend analysis, protocol adherence and personalization, community engagement, and integration of supplements, diet, and consultations.
  • Work with the team to select and refine AI approaches (APIs vs custom models, retrieval-augmented generation vs fine-tuning, guardrails, evaluation strategies) aligned with user value, safety, and constraints in a health context.
  • Define user experience patterns for AI, including prompting, input/output flows, user controls, transparency, and safety expectations.
  • Collaborate with engineers as the technical authority on high-level architecture for apps, backend, data pipelines, analytics, and integrations.
  • Translate company and user goals into a clear, prioritized 3–6-month roadmap with a strong emphasis on AI-powered experiences.
  • Facilitate product rituals for the engineering team, including backlog grooming, sprint planning, and asynchronous check-ins.
  • Work closely with medical advisors, doctors, and nutrition experts to ensure clinical credibility in all product and AI experiences.
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