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Tier-1 brand, mid-level PM title, metro location, and generalist product requirements increase candidate competition.
Product skills transfer across industries but enterprise, AI, and operations preferences increase domain specificity.
Explicit 5+ years product experience and cross-functional delivery expectations increase filter strictness.
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Own product strategy, roadmap, and execution for one or more digital product areas focused on Engineering as a Service/Operate.
Lead end-to-end product lifecycle including discovery, launch, measurement, and continuous improvement to drive customer-centric solutions and minimize operating expenses.
Collaborate cross-functionally with Engineering, Design, Data Science, and Operations teams to deliver scalable products and incorporate AI, automation, and data-driven technologies.
Bachelor’s degree in Business, Engineering, Computer Science, Data Science, Mathematics, or related discipline.
5+ years of product management experience owning digital products from strategy through execution.
Strong analytical skills with the ability to leverage data for product decisions.
Work Experience Required: Minimum 5 years in product management; Notice period: Not explicitly mentioned in the JD.
Experienced in managing customer-facing digital products or enterprise software with operational platforms.
Skilled in data-driven decision making, strategic thinking, and balancing long-term vision with day-to-day execution.
Able to influence cross-functional teams and drive collaboration in fast-paced, evolving environments involving AI, automation, and analytics.