Director of Engineering, Claris AI Services

Apple • Sunnyvale, CA

8d

About The Position

Join Claris, an Apple subsidiary, as Director of Engineering for Claris AI Services. We are seeking an experienced engineering leader to own product development for a new AI-native cloud service. This role leads the engineering team building the service end to end: the AI answer pipeline and model orchestration, real-time access to external systems of record, the data foundation, the web application, and the APIs and gateway that tie them together. The service is built on Claris platform technology and runs in Apple's cloud, serving enterprise and education customers. You will partner daily with product management, program management, design, QA, and security, and you will own the delivery cadence: a release roughly every sprint, gated by feature flags, security review, and AI privacy review. Your leadership will determine how fast an early-stage product becomes a durable, scalable business. Further detail on the product, roadmap, and team will be shared during the interview process.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 8+ years managing software engineering teams, with a demonstrated ability to build and lead high-performing teams.
• 12+ years of software engineering experience, including cloud-based SaaS product development.
• Proven track record shipping customer-facing SaaS products on a regular release cadence, with measurable improvement in quality and delivery predictability.
• Strong understanding of GenAI architecture, including LLM application patterns, retrieval, tool and function calling, agent orchestration, and evaluation of model output quality.
• Experience owning production services, including reliability, observability, incident response, and multi-tenant data isolation.
• Proven experience leading cross-team initiatives from planning through execution in partnership with product and program management.
• Outstanding written and verbal communication skills, with the ability to work effectively with stakeholders at all levels.
• Strong leadership and interpersonal skills.

Nice To Haves

• Experience with agentic architectures and standardized tool and data interfaces such as the Model Context Protocol.
• Experience leading globally distributed team.
• Experience taking an early-stage product from initial traction to scale, including the shift from feature velocity to durability and cost efficiency.
• Solid analytical, problem-solving, consultation, and organizational skills.

Responsibilities

• Own product development for a new AI-native cloud service.
• Lead the engineering team building the AI answer pipeline and model orchestration.
• Lead the engineering team building real-time access to external systems of record.
• Lead the engineering team building the data foundation.
• Lead the engineering team building the web application.
• Lead the engineering team building the APIs and gateway.
• Own the delivery cadence, with a release roughly every sprint.
• Ensure releases are gated by feature flags, security review, and AI privacy review.
• Determine how fast an early-stage product becomes a durable, scalable business.

What This Job Offers

• Job Type: Full-time
• Career Level: Director