Engineering Manager, System Evaluation
$155,000–$165,000 year
HybridPalo Alto, California, United States
Job Summary
Lead a team of technical data analysts to distill complex operational data into actionable recommendations that inform engineering direction and ensure scalable, reliable systems. Design evaluation workflows, automated triage strategies, and analysis algorithms that aggregate engineering metrics into feedback for leadership. Define metrics, acceptance criteria, and success thresholds governing continuous software releases. Develop statistical methods and data pipelines to quantify performance and identify behavioral regressions. Connect real-world findings directly to the engineering roadmap and leverage simulation to predict system performance with new features. Partner with engineering teams, flight operations, and the Analytics team to turn business metrics into clear insights that drive the technical roadmap and root-cause analysis of system degradation.
Required Qualifications
- 8+ years of experience in data analytics, data science, or operational analysis
- 3+ years of experience directly managing and growing analytical teams
- B.S or M.S degree or equivalent practical experience in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
- Proven experience analyzing complex hardware/software systems, robotics, or massive simulation environments
- Proven ability to design and implement robust data pipelines, dashboards, and automated alerting systems from the ground up
- Expertise in applied statistics, experiment design, and A/B testing
- Strong programming and data querying skills using Python, SQL, or R
- Exceptional ability to translate complex data into clear narratives, presenting analytical findings effectively to engineering partners and organizational leadership
- Hybrid based in Palo Alto, CA
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