Director of Engineering, Claris AI Services

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.

Minimum Qualifications

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

Preferred Qualifications

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