Senior Engineering Manager

Verily Health; Southwestern Ontario; On-site; CAD 150,000 - 210,000; Full time

Job summary

Verily Health seeks a Senior Software Development Manager to lead the AI Development organization within Verily Intelligence. You will shape strategy for self-service model/agent serving infrastructure, ensure reliable production delivery, and drive evaluation and monitoring tooling across teams.

You will partner with Data Science and Product to prioritize builds, foster a results-driven culture, and scale a multi-squad organization to deliver high-impact AI capabilities.

Qualifications

• 8+ years in software, data, cloud, or ML roles.
• 3+ years leading software or ML development teams.
• Experience building and operating ML/AI platforms.

Responsibilities

• Lead a high-performing team of 8–10 software developers.
• Deliver model and agent serving infrastructure to production.
• Deliver evaluation and monitoring toolkit for models/agents.
• Drive project planning, resources, and technical roadmaps.
• Collaborate with data science and product to align goals.

Skills

Leadership

ML/AI platforms

Team leadership

Project planning

Delivery management

Self-service adoption

Cross-functional collaboration

Strategic thinking

Education

BA/BS in Computer Science or related field

Master's degree or PhD preferred

Tools

GCP

AWS

Kubernetes

CI/CD practices

Job description

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

Verily 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.

Qualifications

Minimum 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.