Who We Are 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 position…
Skills: Product Management, Data Cataloging, Data Infrastructure, LLM, Agentic AI
At the University of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can br…
Skills: Event Planning, AV Equipment Operation, Live Streaming, Video Editing, Digital Media Production
Technical Talent Acquisition Specialist (12‑Month Contract) Eleven‑x is a leading provider of smart parking and urban mobility solutions, helping cities and organizations make better infrastructure decisions through data…
<p>This is an opportunity in the exciting and fast-growing transportation technology industry. Public transit is being transformed from a system of static, scheduled fixed-routes, to a dynamic on-demand network, and you …
AI Solutions Deployment Manager, Cloud Applied AI, Telco
Waterloo, Ontario, Canada · On-site
$183k–$266k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward…
Skills: Large Language Models, Prompt Development, Conversational AI, Python, Java
API and Integrations Developer, Workspace Ecosystem
Waterloo, Ontario, Canada · On-site
$260k–$267k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience with full stack development, across back-end such as Java, Python, GO, or…
Skills: Full stack development, Java, Python, Go, C++
Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with embedded operating systems. 3 years of experience in a technical le…
Huawei Canada has an immediate 8-month internship opening for a Researcher. About the team: The Huawei Digital Trust Lab is on a mission to enhance consumer, embedded and enterprise computing platforms by building securi…
Skills: AI Data Security, Privacy Protection, System-level Security, Identity and Access Control, Authentication
Copilot said: Cloud EngineerJoin Our Cloud Engineering Team Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Cloud Engineer who can combine deep technical expertise with…
Skills: Microsoft Azure, Kubernetes, AKS, Terraform, Unix/Linux
Uniserve, an industry-leading provider of managed IT services and cabling is growing! With over 25 years of experience in the industry, we provide reliable, trusted and long-term IT solutions to businesses of all sizes, …
Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and Io…
Skills: Software Test Automation, QA Automation, Python 3, PyTest, API Testing
OPENTEXT - THE INFORMATION COMPANY OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will…
Skills: French Language Proficiency, Customer Support, Ticket Triage, Microsoft Office, Call Intake
Minimum qualifications: Bachelor's degree in mechanical engineering or equivalent practical experience. 5 years of experience in consumer electronic product design, manufacturing processes, tooling, and Design for Excell…
Minimum qualifications: Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.…
Skills: Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning
Minimum qualifications: Currently enrolled in a Bachelor's or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a relat…
Skills: Natural Language Understanding, Human Computer Interaction, Computer Vision, Machine Learning, Deep Learning
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed…
Skills: Media Relations, Content Creation, Strategic Communications, Media Monitoring, Storytelling
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed…
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed…
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed…
Skills: AI Integration, Python, TypeScript, LLM APIs, Marketing Automation
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed…
Skills: Channel Sales, Account Management, Relationship Building, Salesforce, Google Workspace
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$133k–$149k/yr
Full-time
bachelor degree
Bonus, Equity, Benefits
Posted 21d ago
~40 hrs/week
Responsibilities
Own the end-to-end strategy and roadmap for the Data Collections platform, focusing on collection management and catalog infrastructure. Lead the development of AI-powered data profiling and visualization tools to make health data actionable for researchers and clinicians.
Requirements
Requires a Bachelor's degree in a technical field and 5+ years of product management experience, with at least 3 years focused on data platform products. Proficiency in data modeling, cloud infrastructure, and experience with LLMs or biomedical data standards is highly preferred.
Full job description
Who We Are
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.
Description
At Verily, Data Collections are the core data primitive of the Pre Platform and the canonical unit through which data is packaged, governed, and made accessible across the ecosystem. As the Senior Product Manager for Data Collections, you will own the end-to-end strategy and execution across collection management, agentic and LLM-powered data profiling, and the visualization and exploration experiences that make data actionable for researchers, data scientists, and clinicians.
Your role will focus on building the trusted, scalable backbone of data management and discovery across Verily, including the central data catalog infrastructure that organizes and governs all Data Collections platform-wide. You will work closely with engineering, data management, and platform teams to deliver on that vision.
Responsibilities
Own the Data Collections Platform Strategy: Define and execute the multi-year product vision and roadmap for Data Collections, setting priorities across tooling, infrastructure, and user experience, and establishing the success metrics that guide investment across the platform.
Build Collection Tooling and Catalog Infrastructure: Drive the design and delivery of tooling for creating, managing, and curating Data Collections, including the central data catalog that governs discovery, metadata, and policy attachment across the platform.
Leverage Agentic AI for Data Profiling: Lead the product development of LLM-powered data profiling capabilities that automatically characterize datasets, surface data quality signals, and generate structured metadata, reducing manual burden and accelerating data readiness.
Deliver Next-Generation Data Exploration: Define and build a data exploration and visualization experience that allows researchers, data scientists, and clinicians to browse, query, and cohort across any Data Collection.
Drive Cross-Platform Adoption: Partner with solutions teams and external enterprise partners to drive adoption of Data Collections across the Pre Platform, ensuring consistent integration and serving as the connective tissue between platform infrastructure and the products built on top of it.
Qualifications
Minimum Qualifications
Education & Core Experience: Bachelor's degree in Computer Science, Engineering, Data Science, Bioinformatics, or equivalent practical experience, combined with 5+ years of progressive product management experience.
Data Platform Experience: 3+ years of direct experience building and shipping data platform products including data catalogs, data management tooling, or data infrastructure in a B2B enterprise environment.
Technical Product Leadership: Proven ability to define and drive technical product roadmaps with engineering and data science teams, with a strong command of data modeling, metadata management, and platform architecture concepts.
Preferred Qualifications
Biomedical Data & Standards: Familiarity with multimodal biomedical data types (EHR, genomics, imaging, wearables) and industry data standards (e.g., FHIR, HL7, OMOP), as well as the governance challenges unique to health data.
Cloud Infrastructure: Experience building data products on cloud infrastructure such as Google Cloud Platform (GCP) or AWS, with an understanding of cloud-native data architecture patterns.
LLM & Agentic AI: Hands-on experience building AI-powered data products leveraging LLMs for data profiling, metadata generation, semantic search, or automated data quality assessment, including experience with agentic workflows.
Data Catalog & Governance: Experience building enterprise data catalog products with a strong understanding of data governance, policy management, and the needs of data stewards, compliance teams, and research operators in healthcare or life sciences organizations.
The Canada base salary range for this full-time position is CAD $132,500 – $149,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Verily is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here.
Qualified candidates must be legally authorized to work in Canada. Verily is currently unable to offer employment-based visa or work permit sponsorship for this position.
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health. We combine deep clinical, regulatory, and technological expertise to provide our customers with patient-centric solutions that make healthcare more personal and precise. Verily solutions are designed to make healthcare data AI-ready and fit for purpose across care, research, and public health. For more information about Verily please visit: verily.com.
Verily is hiring! Check out what's available globally at verily.com/careers.
Offices: 2999 Olympus Blvd, Dallas, Texas 75019, US · 999 Bayhill Dr, San Bruno, California 94066, US · 355 Main St, Cambridge, Massachusetts, US · 136 E South Temple Suite 2200, Salt Lake City, Utah 84111, US · 2590 Pearl St, Boulder, Colorado 80302, US
healthcarehardwaresoftwareclinical studiesscientific researchdisease management platformssensorspopulation health managementprecision medicineprecision health