Senior Product Manager, Sightline

Verily•San Bruno, CA

1d•$140,500 - $210,500

About The Position

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. As a Sightline Product Manager, you will drive day-to-day execution for Verily's flagship population health intelligence platform. This role focuses on commercializing predictive analytics and accelerating our transition into a high-margin data insights business. You will shepherd the platform lifecycle as we scale multi-modal forecasting tools, expand into advanced microbiome sequencing, and capture international markets. This is an execution-focused position requiring a precise intersection of scientific insight and agile program mastery. Leveraging your background in infectious disease, you will translate complex biological workflows into engineering directives. Using your strong background as a Product Manager and certified Agile practitioner, you will maintain sprint velocities and pipeline tracking to deliver world-class science to our life sciences, biosecurity, and public health partners.

Requirements

3+ years of demonstrated work experience as a Product Manager, Technical Project Manager, or Technical Product Manager leading platform execution in a life sciences, biotech, or high-tech environment.
Degree (B.S., M.S., or Ph.D.) or practical professional experience in Computational Biology, Bioinformatics, Genomics, or a related quantitative life sciences discipline.
A background in infectious disease (e.g., exposure to epidemiology, molecular diagnostics, public health surveillance, or virology).
Deep familiarity with JIRA ticketing systems, managing data engine deployment cycles, and holding cross-functional squads accountable to delivery timelines.
Proven ability to translate intricate scientific data parameters (such as assay configurations, signal-to-noise ratios, and variant abundances) into structured, scannable technical requirements for platform engineers.

Nice To Haves

Active, industry-recognized Agile Certification (e.g., CSM, CSPO, PMP-ACP, or SAFe).
Direct experience working with high-throughput laboratory data architectures (such as ddPCR data strings, amplicon sequencing, or raw genomic sequence datasets).
Familiarity with the biopharma value chain, specifically how population-level biological insights optimize vaccine strain selection and clinical trial recruitment timelines.

Responsibilities

Drive Commercial Product Strategy: Translate complex pharma and biosecurity workflows into clear product requirements and user stories for high-value predictive analytics, forecasting, and variant horizon-scanning tools.
Scale Molecular Diagnostic Pipelines: Serve as the core translation layer for engineering and computational biology teams to scale routine digital PCR (ddPCR), amplicon sequencing, and next-generation metagenomic sequencing (mNGS) workflows.
Champion Technical Agile Execution: Run daily Scrum ceremonies and own JIRA/Confluence roadmapping from design to production-grade deployment for dedicated software and computational biology squads.
Facilitate Ecosystem Integration: Coordinate data integration frameworks across broader public health endpoints and centralized data marketplaces to achieve continuous product parity.
Manage Data Governance & IP: Collaborate with clinical, legal, and academic stakeholders to safely navigate complex technical sample transfer protocols, intellectual property, and data licensing guidelines.