Verily
Quality Systems and Compliance Lead
$142K–$213K
Dallas, Texas +3 · Hybrid · Full-time · Posted Aug 4, 2026
- Location
- Dallas, Texas
Boston, Massachusetts
San Bruno, California
Raleigh, North Carolina - Experience
- 8+ years.
- Education
- Bachelor’s degree in a scientific, engineering, or related field.
- Visa sponsorship
- Applicants must not require employer-sponsored work authorization now or in the future for employment in the United States.
About the job
Leads Verily’s quality systems and compliance programs across consumer health, research, medical devices, and AI-enabled products.
What you'll do
- Own and advance the Quality Management System and quality planning across product domains, ensuring alignment with applicable regulatory requirements and standards.
- Lead quality oversight for SaMD and AI/ML products, including model validation, monitoring, change control, metrics, and corrective and preventive actions.
- Develop the QA team and promote QMS compliance through training and collaboration with engineering, product, and operations teams.
What they ask for
- Bachelor’s degree in a scientific, engineering, or related field.
- 8+ years of experience in quality assurance or regulatory affairs in medical device, digital health, or life sciences.
- Demonstrated QMS leadership in conformance with ISO 13485:2016 and FDA QMSR, including design and development, CAPA, ISO 14971 risk management, and IEC 62304 software lifecycle processes.
- Experience supporting or managing quality for SaMD and/or AI/ML-enabled products, plus cross-functional initiative and QA team leadership.
Nice to have
- Experience with MDSAP or ISO 13485 certification or surveillance audits; familiarity with emerging AI/ML SaMD regulatory frameworks; or GCP/GCLP experience.
- Google Workspace, Jira, or GitHub proficiency; advanced relevant degree or ASQ CQE, CQA, or RAC certification.
Pay
$142,000 - $213,000 USD base salary
Tools
ISO 13485:2016, FDA QMSR, ISO 14971, IEC 62304, Jira, GitHub, Google Workspace, MDSAP
AI focus
Develops quality oversight for AI/ML and generative AI products, including model validation, monitoring, algorithmic change protocols, and regulatory alignment.
Model-written summary · the original posting is authoritative