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Popular mid-level Product Manager title, 5+ year band, and Bangalore metro location increase applicant competition.
Product delivery skills transfer across industries, but AI-native and embedded-pod experience increases domain specificity.
Explicit 5+ years requirement plus Agile, technical and AI fluency make filters moderately strict.
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Own end-to-end delivery of AI Engineering Pod from backlog grooming to production release, ensuring consistent high-quality software shipment aligned to Product Owner priorities.
Manage Agile ceremonies, remove impediments, and continuously improve delivery throughput and predictability using metrics such as velocity, cycle time, and quality.
Serve as primary delivery interface between tech pod and Operating Company stakeholders, managing expectations and risks in AI-native software delivery context.
5+ years of experience in product management, delivery management, and/or Scrum Master roles with a proven track record of shipping production software.
Strong Agile expertise (Scrum, Kanban), including running Agile ceremonies and backlog management; certifications like CSM/PSM are a plus.
Technical fluency with software architecture, APIs, cloud-native delivery, and modern SDLC; familiarity with AI-assisted development tools like Claude Code.
Work Experience Required: 5+ years; Notice period: Not explicitly mentioned in the JD.
Experienced in managing delivery for small, senior, AI-native software engineering teams embedded within operating companies or client organizations.
Comfortable adapting Agile methodologies for AI-assisted development workflows and driving delivery predictability through quantitative metrics.
Skilled at aligning cross-functional stakeholders and managing delivery risks, with a technical background enabling credible collaboration with senior engineers.