Sr. Product Manager - Tech, AHS

Amazon is hiring a Sr. Product Manager - Tech, AHS in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
The posting mentions Fhir, Hl7 and AI product among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Lead product strategy for health data ingestion, normalization, and machine learning platforms within Amazon Health Services.

FhirHl7

ai-productproduct-strategyhealth-data-managementhipaa-compliancedata-normalizationcross-functional-leadership

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.

Health data is unlike typical consumer data: it is governed by HIPAA and evolving state level privacy regulations, arrives in inconsistent formats (HL7, FHIR, proprietary device APIs), carries clinical significance that demands accuracy, and requires careful consent and access controls. Every product decision you define and measure operates under these constraints.

We are looking for a Senior Product Manager - Tech to own the product strategy for how One Medical ingests, reconciles, and leverages customer generated and third party health data to improve care delivery and patient outcomes. You will define the problems, shape the solutions, and drive outcomes across data ingestion pipelines, health record enrichment, data quality and normalization, and surfacing insights to clinicians and patients — working directly with engineers and scientists building the underlying data platforms and ML systems.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr. Product Manager - Tech, AHS at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Product Manager - Tech, AHS is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on September 25, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ProductProduct StrategyHealth Data ManagementHipaa ComplianceData NormalizationCross Functional LeadershipFhirHl7

Also common in AI product manager jobs at this level

AI agents LLM Generative AI Machine learning AWS SQL

Pay

Typical AI product manager job: $178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

How do you decide which parts of a product should use AI versus a fixed set of rules?
Tell me about a project where product strategy was part of your work. What did you do?
Tell me about a project where health data management was part of your work. What did you do?
Tell me about a project where hipaa compliance was part of your work. What did you do?
Tell me about a project where data normalization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Product, Product Strategy, Health Data Management, Hipaa Compliance, and Data Normalization. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker