Sr. Product Manager - Tech, AHS

Amazon Inc.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Amazon Health Services is seeking a Product Manager to own the data ingestion, normalization, and surfacing platforms for customer-generated and third-party health data. You will shape the multi-year roadmap and define success metrics across data quality and clinical utility.

You will translate regulatory constraints into engineering requirements and collaborate with Clinical Operations, Compliance, Privacy, and Platform Engineering to deliver impactful health data solutions.

Qualifications

• Bachelor's degree required.
• Experience owning roadmaps and defining product strategy.
• Experience delivering features and evaluating tradeoffs.
• Experience shaping engineering discussions on technology strategy.
• Experience managing technical products or online services.
• Ability to advocate for diverse customers and stakeholders during executive prioritization.

Responsibilities

• Define the product vision and multi-year roadmap for health data systems (ingestion, normalization, enrichment, surfacing).
• Translate health data and regulatory constraints (HIPAA, FHIR/HL7, consent, state laws) into actionable requirements for engineering.
• Own end-to-end metrics for data quality, completeness, and clinical utility.
• Collaborate with Clinical Operations, Provider Experience, Compliance, Privacy, and Platform Engineering to implement solutions and improvements.
• Partner with Applied Scientists and Engineers to define success criteria for data reconciliation and ML systems.
• Influence across teams to drive outcomes in a matrixed environment.

Skills

Roadmap ownership

Feature delivery

Engineering discussions

Stakeholder management

Technical product management

Executive prioritization communication

Education

Bachelor's degree

Master's degree in quantitative/technical field

Job description

Join Amazon Health Services' One Medical team and shape the systems that determine how customer generated health data and third party health data drive better health outcomes for patients. You will define product strategy and drive execution for the platforms that ingest, normalize, and surface health data from diverse sources — wearables, connected devices, lab integrations, and patient reported inputs — turning fragmented signals into actionable clinical and consumer insights. These systems power experiences across the care continuum: enabling providers to make more informed decisions, helping patients engage meaningfully with their own health, and unlocking data driven personalization across Amazon Health Services.

Key job responsibilities

• Define the product vision and multi year roadmap for customer generated health data systems: data ingestion, normalization, enrichment, and clinical surfacing
• Translate complex health data and regulatory constraints (HIPAA, FHIR/HL7 interoperability, consent management, state privacy laws) into product requirements that engineering teams can build against
• Design and own the end to end metrics framework for data quality, completeness, and clinical utility within your domain
• Work with Clinical Operations, Provider Experience, Compliance, Privacy, and Platform Engineering partners to provide solutions and drive improvements
• Partner with Applied Scientists and Engineers to define success criteria for data reconciliation models, insight generation algorithms, and automated triage systems
• Influence without authority across multiple teams and organizations to drive outcomes in a matrixed environment

Basic Qualifications

• Bachelor's degree
• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience managing technical products or online services
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred Qualifications

• Experience in healthcare
• Experience with ML/AI product management — defining success criteria for models, managing model lifecycle, A/B testing ML systems
• Master's degree in a quantitative/technical field such as computer science, engineering, statistics

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.