Natera - Sr. Product Manager - AI & Data (Sales, Marketing, & GM Focus)
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Requirements
• 7–10+ years of product management experience, including 3+ years building data products, AI/ML systems, or related platforms • 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 • Strong technical acumen (e.g., querying data, working in notebooks for EDA and experimentation, modeling datasets) • ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift) • 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 • 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 • What Success Looks Like • Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows • Measurable improvements in key business metrics (e.g., increased sales efficiency, better campaign performance) • Reliable, high-quality data foundations connect patient, clinical, financial, and commercial insights end-to-end • AI systems are continuously monitored, evaluated, and improved with measurable business impact • Strong stakeholder trust and adoption 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. • $140,600 - $175,700 USD • OUR OPPORTUNITY • 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.
Responsibilities
• Strategy & Roadmap • Strategy & Roadmap • 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 • Translate ambiguous business problems (e.g., churn risk, campaign performance, clinical profile segmentation, next-best-action orchestration) into clear product direction and measurable outcomes • Discovery, Experimentation, & Requirements • 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 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 • 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) • Partner with engineering to implement prompt strategies, guardrails, and continuous evaluation pipelines • Drive build vs. buy decisioning and proofs of concept • Governance, Compliance, & Data Quality • Ensure data 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, forecasting accuracy) • Influence across Sales, Marketing, Medical, and GM stakeholders without direct authority
Benefits
• 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.
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