Head of Developer Experience & Productivity

Polluxa, Inc.; Sunnyvale (CA); On-site; USD 180,000 - 210,000; Full time

Job summary

GM Cruise is seeking an Engineering Manager for the AV Developer Productivity team. You will lead and grow a team of engineers, shaping the observability platform used by 1,500 engineers to improve code quality and reliability.

You will define the technical vision and roadmaps for the observability stack, guide instrumentation, logging, and metrics, and collaborate with AI/ML, firmware, and infrastructure teams to scale data pipelines and tooling.

Responsibilities

• Team leadership: Manage and grow a team of engineers, conducting performance reviews, providing coaching, and supporting career development.
• Technical strategy: Define and execute the technical vision and roadmap for the observability platform, ensuring it provides actionable insights into complex systems.
• Architectural oversight: Provide technical guidance on instrumentation, logging, metrics, and tracing to ensure comprehensive visibility across GM's AV software stack.
• Incident response: Ensure the team's tools enable rapid detection, debugging, and resolution of unknown or unforeseen system failures to minimize downtime.
• Cross-functional collaboration: Work with other engineering teams such as those developing AI/ML, firmware, and infrastructure to implement observability practices and improve system reliability.
• Platform development: Lead the development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at a massive scale.
• Vendor management: Manage relationships and costs associated with third-party observability software and platforms.

Job description

GM Cruise is seeking an Engineering Manager for the AV Developer Productivity team. You will lead and grow a team of engineers, shaping the observability platform used by 1,500 engineers to improve code quality and reliability.

You will define the technical vision and roadmaps for the observability stack, guide instrumentation, logging, and metrics, and collaborate with AI/ML, firmware, and infrastructure teams to scale data pipelines and tooling.