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Spearhead strategy for system safety, automated controls, and robust observability
Partner cross-functionally to build scalable, technology-driven architectures that deploy real-time alerts, ensure compliance, and drastically reduce incident recovery times
Apply human-centered design and integrated problem-solving to translate complex whitespace challenges into an iterative, game-changing roadmap
Mitigate risks, uncover hidden opportunities, and drive strategic investments needed to win in the AI space
Requirements:
At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Nice to have:
Hands-on experience or strong familiarity with industry-standard observability tools (e.g., Datadog, Splunk, New Relic, Grafana), OpenTelemetry (OTEL) standards, and Site Reliability Engineering (SRE) concepts like SLIs, SLOs, and MTTR
Proficiency in translating complex, fragmented system logs into actionable insights using data visualization tools, structured querying (e.g., SQL), and prescriptive analytics
What we offer:
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits