Define and own the Data & AI product strategy and roadmap for the S&M + GM pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities •
Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc. •
Design and run experiments to validate product performance and measure causal impact •
Establish leading indicators and KPIs for proactive health assessments
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 •
Define and implement AI product patterns, including agentic workflows and RAG •
Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency) •
Drive build vs. buy decisioning and proofs of concept
Ensure data products meet regulatory and compliance requirements •
Champion data quality, lineage, and reliability through data contracts and observability standards •
Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence •
Monitor product usage, performance, and business outcomes to iterate based on data and feedback •
Requirements
We are seeking a Senior Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across the go-to-market and operational teams embedded within Natera’s core business units (i.e., Oncology, Women’s Health, Organ Health), including Sales, Marketing, and Medical stakeholders.
You will operate in an embedded model, deeply aligned with “S&M + GM” leaders, while building through centralized Data & AI organization platforms, standards, and governance.
This is a technical product role requiring fluency in data systems, modern data platforms, ML, and emerging AI patterns (e.g., LLMs, agentic systems), combined with strong
Delivery, Data, & ML Lifecycle •
Partner with data and AI/ML engineering resources to deliver scalable products and capabilities •
Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly
Demonstrated domain fluency in Sales, Marketing, Field Medical, and/or related commercial/GTM functions •
Strong understanding of sales funnel, marketing funnel, medical affairs funnel, and related funnels to relate product ideas to the overall opportunity landscape •
Familiarity with key domain-relevant tooling (e.g., Salesforce) and associated data •
Experience shipping LLM-powered or AI products (prompting, RAG, evaluation frameworks, guardrails) •
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 •
Advanced degree in a technical and/or business discipline •
Experience in healthcare, diagnostics, life sciences, and/or digital health •
Familiarity with healthcare data domains and systems •
Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows •
AI systems are continuously monitored, evaluated, and improved with measurable business impact •
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
Experience
7–10+ years of product management experience, including 3+ years building data products, AI/ML systems, or related platforms •
Benefits
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.
Remote USA $140,600 — $175,700 USD OUR OPPORTUNITY
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.
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
Please be advised that Natera will reach out to candidates with a @ natera.com email domain ONLY.
Additional details
This role focuses specifically on building and scaling platforms and products that power decision intelligence across these domains, such as sales forecasting, commercial engagement performance, and clinical/operational insights.
You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact.
experience and stakeholder intuition across Sales, Marketing, Medical, and related functions.
This role sits at the intersection of business impact and technical depth, with deep visibility into commercial performance and executive decision-making.
You will have direct ownership of high-impact initiatives that influence operational decision-making at scale and overall organizational success. What You’ll Do
Translate ambiguous business problems (e.g., churn risk, campaign performance, clinical profile segmentation, next-best-action orchestration) into clear product direction and measurable outcomes
Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis •
requirements (PRDs, user stories, acceptance criteria) and success metrics •
Partner with engineering to implement prompt strategies, guardrails, and continuous evaluation pipelines •
Partner with stakeholders to integrate products into proactive, day-to-day decision-making •