Senior Software Development Manager, Verily Intelligence
$175k - $197k per yearVerily Health
Who We AreVerily 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.
Who We AreVerily 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.
DescriptionVerily Pre is a comprehensive, patient-centered platform that accelerates evidence generation for safer, more effective treatments and care decisions. Our cloud-first architecture, advanced analytics, and AI capabilities enable the collection, enrichment, and activation of petabytes of data, tailored to meet the unique needs of our partners. Verily Intelligence, within Verily Pre, provides the infrastructure and tooling that Verily's data scientists and developers use to build, evaluate, deploy, and operate models and agents, and brings those AI capabilities into products across Verily.
As a Senior Software Development Manager in Verily Intelligence, you will lead the AI Development organization: the teams that build the infrastructure and tooling for self-service, low-latency serving of models and agents, and the evaluation and monitoring toolkit that keeps them trustworthy from first experiment through production. You will shape the technical strategy for this part of the platform, partner closely with Data Science and Product to prioritize what to build next, and build a collaborative, results-driven development culture.
Responsibilities
Build, grow, and manage a high-performing team of 8-10 software developers across multiple squads, fostering a culture of technical excellence, continuous improvement, and strong execution.
Own the delivery of Verily's model and agent serving infrastructure, providing a reliable, self-service path for first-party and third-party models and agents to reach production.
Own the delivery of Verily's evaluation and monitoring toolkit, enabling rigorous pre-release evaluation of models and agents and continuous regression and drift analysis in production.
Drive project planning, resource allocation, and technical roadmaps in close partnership with Data Science and Product to align cross-functional goals with scalable delivery.
Partner with the teams developing and launching models and agents to understand their pain points and turn them into platform capabilities that make AI development at Verily increasingly self-serve.
QualificationsMinimum Qualifications
Proven track record of building and operating ML/AI platforms, spanning model and agent serving and evaluation, with strong self-service adoption.
8+ years of experience in software, data, cloud, or ML development roles.
3+ years of people management experience leading software or ML development teams.
BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
Experience managing multiple teams simultaneously, directly or through technical leads, including planning, prioritization, and delivery across squads.
Preferred Qualifications
Deep understanding of MLOps and responsible AI, including governance and evaluation frameworks for LLM-based models and agents.
Relevant experience in healthcare or life sciences, with emphasis on standards like HL7 FHIR.
Experience with cloud platforms such as GCP or AWS, Kubernetes, and modern CI/CD practices.
Demonstrated ability to influence and drive alignment across software development, product, and data science teams.
Master's degree or PhD in Computer Science or a related technical discipline.
The CAN base salary range for this full-time position is $175,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in CAN role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. 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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Who We AreVerily 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.
DescriptionVerily Pre is a comprehensive, patient-centered platform that accelerates evidence generation for safer, more effective treatments and care decisions. Our cloud-first architecture, advanced analytics, and AI capabilities enable the collection, enrichment, and activation of petabytes of data, tailored to meet the unique needs of our partners. Verily Intelligence, within Verily Pre, provides the infrastructure and tooling that Verily's data scientists and developers use to build, evaluate, deploy, and operate models and agents, and brings those AI capabilities into products across Verily.
As a Senior Software Development Manager in Verily Intelligence, you will lead the AI Development organization: the teams that build the infrastructure and tooling for self-service, low-latency serving of models and agents, and the evaluation and monitoring toolkit that keeps them trustworthy from first experiment through production. You will shape the technical strategy for this part of the platform, partner closely with Data Science and Product to prioritize what to build next, and build a collaborative, results-driven development culture.
Responsibilities
Build, grow, and manage a high-performing team of 8-10 software developers across multiple squads, fostering a culture of technical excellence, continuous improvement, and strong execution.
Own the delivery of Verily's model and agent serving infrastructure, providing a reliable, self-service path for first-party and third-party models and agents to reach production.
Own the delivery of Verily's evaluation and monitoring toolkit, enabling rigorous pre-release evaluation of models and agents and continuous regression and drift analysis in production.
Drive project planning, resource allocation, and technical roadmaps in close partnership with Data Science and Product to align cross-functional goals with scalable delivery.
Partner with the teams developing and launching models and agents to understand their pain points and turn them into platform capabilities that make AI development at Verily increasingly self-serve.
QualificationsMinimum Qualifications
Proven track record of building and operating ML/AI platforms, spanning model and agent serving and evaluation, with strong self-service adoption.
8+ years of experience in software, data, cloud, or ML development roles.
3+ years of people management experience leading software or ML development teams.
BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
Experience managing multiple teams simultaneously, directly or through technical leads, including planning, prioritization, and delivery across squads.
Preferred Qualifications
Deep understanding of MLOps and responsible AI, including governance and evaluation frameworks for LLM-based models and agents.
Relevant experience in healthcare or life sciences, with emphasis on standards like HL7 FHIR.
Experience with cloud platforms such as GCP or AWS, Kubernetes, and modern CI/CD practices.
Demonstrated ability to influence and drive alignment across software development, product, and data science teams.
Master's degree or PhD in Computer Science or a related technical discipline.
The CAN base salary range for this full-time position is $175,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in CAN role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. 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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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