Apple needs to shape how they measure the success and reliability of Apple Intelligence software features, ensuring that engineering decisions are guided by trustworthy data derived from real user experiences.
Requirements
- Strong programming skills in Python, Go, Java, or Swift, with a focus on scalable, maintainable systems.
- Proven experience designing and instrumenting telemetry for measuring product success, reliability, or performance.
- Ability to translate product or engineering goals into measurable outcomes and define the right metrics to validate them.
- Experience working with large data pipelines or analytics systems; proficiency in data validation, querying, and quality monitoring.
- Deep understanding of observability concepts - tracing, logging, and metrics - and experience integrating them into engineering workflows.
- Experience with distributed systems, cloud data infrastructure (AWS, GCP, or internal equivalents), and observability tools.
- Familiarity with privacy-preserving data collection and measurement design principles.
Responsibilities
- Architect and build systems that capture meaningful signals from our software stack
- Design metrics that reveal product health
- Ensure that every new feature ships with measurement built in from the start
- Integrate measurement into feature development from the start
- Design data models and instrumentation
- Establish SLAs and success metrics
- Ensure telemetry is accurate, privacy-preserving, and actionable
Other
- BS/MS in Computer Science, Data Engineering, or equivalent experience.
- Experience driving technical decisions using insights from data and telemetry.
- Strong sense of ownership for data integrity and system reliability.
- Demonstrated ability to lead cross-functional engineering initiatives.
- Collaborative and proactive in partnering with multiple engineering teams to ensure measurement and observability are consistent and reliable.
