Product Management - Senior Manager

Overview

Senior Manager in Product Management within PwC Acceleration Center India's Technology Consulting practice, leading the development of innovative software solutions that drive digital transformation and enhance business performance.

What you'll do

• Lead the development and implementation of innovative software solutions to drive digital transformation and enhance business performance
• Guide teams in strategic planning and execution of software engineering projects to meet client needs
• Use technical proficiency in programming languages such as Java, Python, and C++ to design, code, and test applications
• Collaborate with cross-functional teams to identify and address software development challenges
• Oversee the deployment of scalable software solutions and confirm their integration with existing systems
• Promote the use of advanced methodologies such as Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD)
• Validate software quality through rigorous testing and debugging processes
• Direct teams through complex problem-solving scenarios, demonstrating composure in ambiguous situations
• Apply systems thinking to identify underlying problems and opportunities for improvement
• Craft and convey clear, impactful messages that tell a holistic story to stakeholders and clients

What you'll need

• At least a Bachelor's degree
• At least 12 years of experience
• Oral and written proficiency in English

Nice to have

• Strong product fundamentals and product sense, owning a product surface end-to-end: discovery, roadmap, prioritization, launch, iteration
• 6+ years in product management, including a zero-to-one product
• Requirements and stakeholder craft: eliciting needs from business and technical stakeholders, writing clear PRDs and acceptance criteria, and managing senior stakeholders and clients with honesty and calibration
• Hands-on use of AI tools in their own workflow, including AI-assisted tooling to produce working prototypes, wireframes, or internal tools
• Practical understanding of how AI products behave, including probabilistic outputs, evaluating whether model answers are good, and reasoning about accuracy, cost, latency, and where AI is the wrong tool
• Data-informed decision-making: defining metrics before building, running experiments, reading a funnel, and connecting product decisions to business outcomes
• Design and UX instinct, including high-fidelity interactive wireframes and reasoning about interaction patterns
• Domain expertise in financial services, healthcare, energy, manufacturing, or public sector
• Depth in AI evaluation, having built or specified test sets and quality benchmarks for generative and agentic features
• Technical background in engineering, data, or solution architecture, with enough code fluency to read a PR and challenge an architecture

Details

• Location: Bangalore, India