PRODUCT MANAGER

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements (or Experience & Background), Qualifications? The posting includes sections: About The Role, Your Responsibilities, Experience & Background, About You, Capabilities. We need to map to headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include only sections with real content. We have About the role content: description of role. Responsibilities: list of duties. Experience & Background: list of requirements/experience. About You: similar to requirements but maybe qualifies as Qualifications? Could combine. Capabilities: could be Skills. We must not repeat job title as heading. No Job ID. We must not include boilerplate like "Meet our client Our Client is CONFIDENTIAL". That's minor metadata; we can fold into short p or drop. Probably drop. We must not include sections with placeholder like Pay, Schedule, Benefits if not present. No mention of pay/benefits/schedule. So omit those sections. Thus we will have sections: About the role, Responsibilities, Requirements (or Experience & Background), Qualifications (maybe About You), Skills (Capabilities). Ensure we use

for each heading. Inside each section, use

for prose,

• for lists. We need to preserve all substantive information, not invent or summarize away detail. Must keep details. Let's extract content. About The Role paragraph: "We are looking for a Product Manager. This role reports to the Director of Product Development and owns a product area or major workflow end-to-end. This includes customer discovery, problem definition, requirements development, collaboration with engineering and design through delivery, and ongoing measurement and iteration after launch. This role is expected to be the voice of the customer, bringing data, research, and evidence into every product decision and roadmap discussion. The ideal candidate is highly collaborative, customer-focused, and comfortable balancing strategic thinking with hands-on execution." We'll put that in

  . Responsibilities list: bullet points given. Let's capture each bullet: - Own one product area end-to-end: customer discovery, problem definition, PRDs/specs, delivery partnership with engineering and design, post-launch measurement - Run a continuous discovery cadence and maintain an opportunity-solution tree for the product area in partnership with Marketing - Write and maintain product specs that engineering can build from without daily back-and-forth; partner with design on flows; partner with QA/clinical on test plans - Define and track product-area KPIs (activation, retention, time-to-value, clinical outcome where applicable); report weekly to the Director - Partner with Regulatory and Clinical on feature classification and ensure the documentation trail is clean - Partner with Marketing and Sales on launch positioning, new markets, sales enablement, and customer- facing release notes - Run sprint reviews, backlog grooming, and release planning with the assigned engineering pod - Work day-to-day with the existing engineering team: bring engineers into discovery early, write specs they can build from, respect their estimates and architecture guidance, and resolve scope questions directly rather than escalating every one to the Director. - Use AI tooling for discovery synthesis, spec drafting, competitive analysis, and pattern-spotting in customer feedback We'll put each as

• . Experience & Background: list of requirements. Let's capture each bullet (they are sentences separated by line breaks? Actually they are paragraphs with bold? We'll extract each distinct requirement. From text: "Experience & Background Fluent in both B2B and B2C product motions — has developed product in both and can speak credibly to the differences in user research, sales cycle, pricing, success metrics, and feature trade-offs in the other" "Has contributed to product innovation, not just feature delivery — has taken at least one product from generative research through prototyping, validation, and launch" "Consumer research hands-on — has personally run generative customer-discovery interviews, synthesized findings into opportunity statements, and used them to shape (or stop) product work. Can show interview notes, an opportunity-solution tree, or a research synthesis from real work" "Continuous discovery is a weekly practice — maintains a live opportunity-solution tree and ties hypotheses to measured outcomes" "5–8 years in product management with at least 3 years owning a product area end-to-end (not a sub- feature or a sub-component)" "Has developed at least 3 substantial software features or product launches that drove a measurable outcome — must be able to walk through the discovery, the spec, the build, and the post-launch numbers" "Has developed in a regulated health context (HIPAA at minimum; FDA SaMD, HL7/FHIR, or claims-data work a strong plus) — can speak clearly about how regulatory and clinical constraints shaped a specific product decision." "Has shipped in a software/SaaS context with modern instrumentation — knows how to set up product analytics, define events, and read funnels" "Fluent writing PRDs and specs that an engineering team can build from — can produce one on demand from a customer-problem prompt" "Has run large customer interviews/research (n=100+) with documented insight synthesis" "Comfortable reading API documentation, SQL queries, and basic system diagrams; comfortable challenging an engineering estimate constructively" "Has owned a measurable outcome (activation, retention, conversion, clinical-outcome metric) and moved it — knows the before and after numbers cold" We'll put each as
• . About You: seems similar to requirements but maybe qualifies as Qualifications. Content: "About You Have 5–8 years of Product Management experience and a proven track record of owning a product area end-to-end, from customer discovery and problem definition to launch, measurement, and iteration. Deeply customer-centric and practice continuous discovery, using customer research, interviews, and data to drive product decisions and shape roadmap priorities. Comfortable operating at the intersection of health-tech and software, balancing regulatory and clinical requirements with modern product development practices and rapid iteration. Highly collaborative product leader who partners effectively with engineering, design, clinical, regulatory, marketing, and commercial teams to deliver measurable business and customer outcomes." We could treat this as Qualifications section. Capabilities: list: "Capabilities B2B SaaS product leadership in health/sport tech, digital health, EHR-adjacent software Direct experience with FDA SaMD pathway, and post-market surveillance Has shipped features in a regulated context and worked through the model-validation and bias-testing discussions Translates between clinical/regulatory rigor and software iteration without losing either — can explain to engineering why a feature needs full traceability, and to clinical why a feature can ship behind a feature flag and learn Uses AI as a working partner inside the product workflow — synthesizes interview transcripts, drafts PRDs from problem statements, runs competitive-feature analysis, and pattern-matches across customer feedback — and can show measurable time savings on a real product area" We'll treat as Skills. Now produce HTML. We must not include any extra text. Just the fragment. Let's craft:

  About the role

  We are looking for a Product Manager. This role reports to the Director of Product Development and owns a product area or major workflow end-to-end. This includes customer discovery, problem definition, requirements development, collaboration with engineering and design through delivery, and ongoing measurement and iteration after launch. This role is expected to be the voice of the customer, bringing data, research, and evidence into every product decision and roadmap discussion. The ideal candidate is highly collaborative, customer-focused, and comfortable balancing strategic thinking with hands-on execution.

  Responsibilities

  • Own one product area end-to-end: customer discovery, problem definition, PRDs/specs, delivery partnership with engineering and design, post-launch measurement
  • Run a continuous discovery cadence and maintain an opportunity-solution tree for the product area in partnership with Marketing
  • Write and maintain product specs that engineering can build from without daily back-and-forth; partner with design on flows; partner with QA/clinical on test plans
  • Define and track product-area KPIs (activation, retention, time-to-value, clinical outcome where applicable); report weekly to the Director
  • Partner with Regulatory and Clinical on feature classification and ensure the documentation trail is clean
  • Partner with Marketing and Sales on launch positioning, new markets, sales enablement, and customer- facing release notes
  • Run sprint reviews, backlog grooming, and release planning with the assigned engineering pod
  • Work day-to-day with the existing engineering team: bring engineers into discovery early, write specs they can build from, respect their estimates and architecture guidance, and resolve scope questions directly rather than escalating every one to the Director.
  • Use AI tooling for discovery synthesis, spec drafting, competitive analysis, and pattern-spotting in customer feedback

  Requirements

  • Fluent in both B2B and B2C product motions — has developed product in both and can speak credibly to the differences in user research, sales cycle, pricing, success metrics, and feature trade-offs in the other
  • Has contributed to product innovation, not just feature delivery — has taken at least one product from generative research through prototyping, validation, and launch
  • Consumer research hands-on — has personally run generative customer-discovery interviews, synthesized findings into opportunity statements, and used them to shape (or stop) product work. Can show interview notes, an opportunity-solution tree, or a research synthesis from real work
  • Continuous discovery is a weekly practice — maintains a live opportunity-solution tree and ties hypotheses to measured outcomes
  • 5–8 years in product management with at least 3 years owning a product area end-to-end (not a sub-feature or a sub-component)
  • Has developed at least 3 substantial software features or product launches that drove a measurable outcome — must be able to walk through the discovery, the spec, the build, and the post-launch numbers
  • Has developed in a regulated health context (HIPAA at minimum; FDA SaMD, HL7/FHIR, or claims-data work a strong plus) — can speak clearly about how regulatory and clinical constraints shaped a specific product decision.
  • Has shipped in a software/SaaS context with modern instrumentation — knows how to set up product analytics, define events, and read funnels
  • Fluent writing PRDs and specs that an engineering team can build from — can produce one on demand from a customer-problem prompt
  • Has run large customer interviews/research (n=100+) with documented insight synthesis
  • Comfortable reading API documentation, SQL queries, and basic system diagrams; comfortable challenging an engineering estimate constructively
  • Has owned a measurable outcome (activation, retention, conversion, clinical-outcome metric) and moved it — knows the before and after numbers cold

  Qualifications

  Have 5–8 years of Product Management experience and a proven track record of owning a product area end-to-end, from customer discovery and problem definition to launch, measurement, and iteration.

  Deeply customer-centric and practice continuous discovery, using customer research, interviews, and data to drive product decisions and shape roadmap priorities.

  Comfortable operating at the intersection of health-tech and software, balancing regulatory and clinical requirements with modern product development practices and rapid iteration.

  Highly collaborative product leader who partners effectively with engineering, design, clinical, regulatory, marketing, and commercial teams to deliver measurable business and customer outcomes.

  Skills

  • B2B SaaS product leadership in health/sport tech, digital health, EHR-adjacent software
  • Direct experience with FDA SaMD pathway, and post-market surveillance
  • Has shipped features in a regulated context and worked through the model-validation and bias-testing discussions
  • Translates between clinical/regulatory rigor and software iteration without losing either — can