Sr Product Manager - Enterprise Data Platform

Target Target · Retail · Bangalore, India

Sr. Product Manager for Enterprise Data Platform SRE & Platform Services, focusing on reliability, scalability, observability, and operational excellence. The role involves owning product strategy, roadmap, and requirements for data platform capabilities, driving collaboration, and leading go-to-market activities. Requires experience in platform engineering, SRE, or data platforms.

What you'd actually do

  1. Own and evolve the product strategy, and outcome-based roadmap for Data Platform SRE tooling and backend platform services, including observability, reliability automation, cost optimization, capacity management, and operational workflows
  2. Lead continuous discovery through engagement with SREs, platform engineers, data engineers, and platform consumers to identify reliability gaps, toil, and systemic risks
  3. Facilitate cross-functional collaboration to align on priorities, tradeoffs, reliability targets (SLOs/SLAs), and delivery plans
  4. Develop lightweight prototypes or proofs-of-concept to validate ideas and de-risk investments in automation, telemetry, or developer tooling
  5. Translate validated concepts into clear product requirements and partner with engineering through delivery of scalable, reusable platform capabilities

Skills

Required

  • Product Management experience
  • Platform engineering experience
  • Infrastructure experience
  • Site reliability engineering experience
  • Data platforms experience
  • Ability to influence without direct authority
  • Align diverse stakeholders
  • Build strong relationships with platform consumers, engineering teams, and senior leaders
  • Work in an agile, collaborative and matrixed environment
  • Product leadership
  • People leadership
  • Excellent verbal and written communication skills

Nice to have

  • Site Reliability Engineering principles
  • SLOs/SLAs
  • incident management
  • postmortems
  • observability tooling (metrics, logs, tracing)
  • reliability automation
  • internal developer platforms
  • cloud-native architectures
  • distributed data systems
  • Google Cloud, Microsoft Azure, AWS
  • cost management
  • capacity planning
  • operational excellence practices in large-scale data environments

What the JD emphasized

  • Platform engineering
  • Infrastructure
  • Site reliability engineering
  • data platforms
  • ownership mindset
  • influencing skills