Natera Verified

Biotechnology, Diagnostics, Healthcare

Sr. Technical Product Manager - Data & Applied AI (Patient Experience & Commercial Operations)

United StatesRemoteFull TimeSenior$140,600–$175,700 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Natera seeks a Senior Product Manager to lead AI and data product strategy for Patient Experience and Commercial Operations. This role focuses on enhancing patient navigation of testing/billing and improving operational efficiency. You will own the full product lifecycle, from discovery to production, partnering with business stakeholders and leveraging centralized Data & AI platforms. Key responsibilities include defining roadmaps, leading discovery, writing requirements, guiding data/ML engineering, managing the ML lifecycle, productizing AI (LLMs, RAG), ensuring governance and compliance, and driving product adoption and impact. The ideal candidate has 7-10+ years of PM experience, including 3+ years in data/AI products, strong technical acumen, ML/MLOps literacy, and domain fluency in healthcare patient experience and commercial operations.

Role Overview

We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations functions. This role is focused on improving how patients navigate testing and billing while enabling operational teams to efficiently progress cases from order to completion. You will play a crucial part in supporting initiatives to reduce friction, improve patient trust, and increase operational efficiency, ultimately driving better conversion, collections, and experience.

This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with domain leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across the associated functions. The role has direct ownership of high-impact initiatives that deeply influence organizational success.

What You’ll Do

Strategy & Roadmap

Define and own the Data & AI product strategy and roadmap for the Patient Experience + Commercial Operations pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities

Translate ambiguous business problems (e.g., stuck cases, fragmented patient communication, support inefficiencies, billing friction) into clear product direction and measurable outcomes

Own the line between 'what the business needs' and 'what gets built' end-to-end

Discovery, Experimentation, & Requirements

Develop deep context on the domain so you can proactively propose solutions rather than field requests

Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis

Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.

Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics

Design and run experiments to validate product performance and measure causal impact

Establish leading indicators and KPIs for proactive product and process health assessments

Delivery, Data, & ML Lifecycle

Partner with data and AI/ML engineering resources to deliver scalable products and capabilities

Guide development of robust data pipelines and unified data models (360° views across key entities)

Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining

Ensure training–serving consistency, model versioning, and clear deployment decision gates

Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)

AI Productization & Hands-On Building

Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations

Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support

Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)

Implement prompt strategies, guardrails, and continuous evaluation pipelines

Governance, Compliance, & Data Quality

Ensure products meet regulatory and compliance requirements

Champion data quality, lineage, and reliability through data contracts and observability standards

Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)

Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly

Adoption, Change Management, & Impact

Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence

Partner with stakeholders to integrate products into proactive, day-to-day decision-making

Monitor product usage, performance, and business outcomes to iterate based on data and feedback

Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, case completion turnaround)

Influence Patient Experience and Commercial Operations stakeholders through delivery, not authority

Qualifications

Required

7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms

Demonstrated domain fluency in Patient Experience and/or Commercial Operations

Strong understanding of patient journeys, support channels (e.g., chat, voice, call centers), and operational workflows that drive conversion and test completion

Familiarity with key domain-relevant tooling (e.g., patient portals, support platforms) and associated data

Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)

Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)

ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)

Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)

Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams

Experience working in regulated environments (e.g., healthcare, life sciences, fintech)

Preferred

Experience in healthcare, diagnostics, life sciences, and/or digital health

Familiarity with healthcare data domains and systems, including patient, provider, payer, claims, billing, and clinical trial data

Experience with vendor evaluation, platform selection, or external AI tooling ecosystems

Advanced degree in a technical and/or business discipline

What Success Looks Like

Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows

Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support

Measurable improvements seen in key business metrics (e.g., case completion turnaround time, patient satisfaction, cost-to-serve)

Reliable, high-quality data foundations connect patient, provider, clinical, operational, and billing/financial insights end-to-end

AI systems are continuously monitored, evaluated, and improved with measurable business impact

Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams

Internal teams have transparent access to the function's roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$140,600—$175,700 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:- BBB announcement on job scams - FBI Cyber Crime resource page

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