Director Software Engineering (AI)

TL;DR

Director Software Engineering (AI): Leading a large engineering organization responsible for core infrastructure powering AI capabilities and longitudinal health initiatives with an accent on the Model Development Lifecycle, AI production acceleration, and critical platform delivery. Focus on shaping technical strategy, fostering a collaborative engineering culture, and ensuring secure and compliant access for users in healthcare environments.

Location: Hybrid (Mountain View, California). Qualified applicants must not require employer-sponsored work authorization now or in the future for employment in the United States.

Salary: $208,000–$311,500 + bonus + benefits (US base salary range).

Company

hirify.global is an Alphabet subsidiary using a data-driven approach to transform healthcare through precision health, generating and activating diverse data for better health outcomes.

What you will do

• Build and lead a high-performing engineering organization of 40-50 engineers and managers.
• Oversee engineering strategy for AI Model Development Lifecycle (MDLC) infrastructure, including annotation, evaluation, and foundational model serving systems.
• Partner with Data Science, Clinical, and Product leadership to accelerate model development velocity and quality.
• Direct engineering for hirify.global’s Lifelong Health Study, bridging research and care with sensor signals and patient-centric applications.
• Own delivery and reliability of the Customer Identity and Access Management (CIAM) system, ensuring secure and compliant access.
• Manage organizational resourcing, budgeting, and headcount, driving improvements in business processes and managing tradeoffs.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 12+ years of experience in software, data, cloud, or ML engineering roles.
• 5+ years of experience managing engineering managers and leading technical strategy for multi-team organizations.
• Proven track record of building and leading teams responsible for large-scale data infrastructure, ML platforms, or regulated software products.
• Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

Nice to have

• Master’s degree or PhD in Computer Science or a related technical discipline.
• Deep understanding of "ML Ops" and responsible AI practices, including model governance, automated red-teaming, and evaluation frameworks.
• Experience designing and operating Identity and Access Management (IAM/CIAM) systems in a healthcare or highly regulated environment (e.g., HIPAA, GDPR).
• Familiarity with longitudinal health studies, sensor signal processing, and FHIR data standards.
• Demonstrated ability to influence senior leadership and drive alignment across engineering, product, and scientific teams.

Culture & Benefits

• Be part of a diverse team innovating at the intersection of health and technology, united by a shared spirit of curiosity, resilience, and determination.
• Focus on precision health, offering flexibility, resources, and competitive benefits to support whole-person well-being.
• Culture reflects values: Innovate Healthcare and Technology, Gain Velocity as One hirify.global, and Respect Individuals.
• Uphold collective accountability to sustain a culture of Inclusion, Belonging, and Equitability (VIBE) where all Veeps feel included and have opportunities to grow.