What You'll Do:

- Own backlog strategy, prioritization, and sequencing across AI platform capabilities, platform engineering initiatives, reliability improvements, technical debt, and operational excellence investments.
- Translate product strategy and roadmap objectives into well-defined epics, user stories, and acceptance criteria that are ready for engineering execution.
- Partner with engineering managers, architects, and technical leads to ensure backlog priorities align with platform architecture, engineering capacity, and business objectives.
- Balance competing priorities across feature delivery, platform sustainability, scalability, reliability, and technical debt while clearly communicating tradeoffs.
- Prioritize AI platform capabilities including agent orchestration, conversational platforms, SDKs, enterprise integrations, and Model Context Protocol (MCP)-enabled capabilities.
- Ensure production readiness, operational excellence, and reliability engineering initiatives are appropriately represented within backlog priorities.
- Collaborate with onshore Product Management to align offshore engineering execution with product strategy and roadmap objectives.
- Coordinate dependencies across engineering teams, architects, Product Owners, and platform stakeholders to improve delivery predictability.
- Accept completed work against defined business and technical acceptance criteria.
- Use engineering metrics, operational insights, customer feedback, and platform health indicators to continuously refine backlog priorities and roadmap sequencing.

What You'll Bring:

- Bachelors degree in Computer Science, Engineering, Information Systems, Business, or a related field, or equivalent practical experience.
- 8+ years of experience in Product Owner, Product Management, Technical Program Management,



Engineering, or related roles.
- Demonstrated experience owning prioritization decisions for complex engineering organizations supporting multiple workstreams and competing business priorities.
- Demonstrated ability to operate in technically complex environments involving distributed systems, cloud-native platforms, AI-powered services, platform engineering, or reliability engineering.
- Proven experience managing backlogs that include feature delivery, platform investments, technical debt reduction, and reliability engineering work.
- Robust understanding of APIs, distributed systems, cloud platforms, microservices, data flows, and software delivery practices.
- Experience partnering with engineering managers, architects, and technical leads to balance roadmap objectives with platform sustainability and operational excellence.
- Strong communication, facilitation, negotiation, and stakeholder management skills.

Must Have Skills:

- Product ownership, backlog strategy, and prioritization
- Technical requirements definition and acceptance criteria
- Agile product delivery and sprint readiness
- Cloud-native platforms, APIs, and distributed systems
- Stakeholder, dependency, and tradeoff management

Nice-to-Have:

- Experience working with AI platforms, conversational AI systems, LLM-powered services, or AI infrastructure.
- Experience working with SRE, platform engineering, or cloud operations teams.
- Familiarity with reliability engineering concepts, including SLOs, SLAs, observability, incident management, and operational excellence practices.
- Strong analytical skills with the ability to use operational data, usage metrics, and production insights to drive prioritization decisions.
- Experience supporting enterprise-scale platforms serving large customer-facing applications.

📌 Sr Product Owner (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad