Product Management - Manager

Industry/Sector

Not Applicable

Specialism

Software Engineering

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Product Management - Manager, you will lead the charge in developing innovative software solutions that drive digital transformation and enhance business performance. Within our Technology Consulting practice, you will combine technical experience with creative thinking to deliver software products that revolutionize industries and provide exceptional user experiences. This role involves designing, coding, and testing applications that meet the evolving needs of clients.

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring your team to deliver quality results. You will be responsible for coaching and leveraging team members' unique strengths to meet client expectations. With your growing business acumen, you will play a crucial role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same.

In this role at PwC Acceleration Center India, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will also address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, while upholding professional and technical standards.

Responsibilities

• - Leading the development and implementation of innovative software solutions to drive digital transformation
• - Managing and mentoring teams to enhance their skills and deliver quality software products
• - Designing, coding, and testing applications using programming languages such as Java, Python, and C#.NET
• - Overseeing the application of software development methodologies and lifecycle management
• - Collaborating with stakeholders to analyze business requirements and translate them into technical specifications
• - Utilizing API management and microservices to enhance software integration and functionality
• - Conducting code reviews and quality assurance testing to maintain software standards
• - Implementing continuous integration and delivery practices to streamline software deployment
• - Encouraging the adoption of AI-human collaboration and digital tooling to improve software development processes
• - Addressing and resolving conflicts or issues within the team and with clients to maintain project timelines and deliverables

What You Must Have

• - At least a Bachelor's degree
• - At least 8 years of experience
• - Oral and written proficiency in English required

What Sets You Apart

- Strong product fundamentals & product sense — owns a product surface end-to-end: discovery, roadmap, prioritization, launch, iteration.

- Can defend why this problem, this quarter.

- 6+ years in product management, including a zero-to-one product.

- Requirements and stakeholder craft — elicits needs from business and technical stakeholders, writes clear PRDs and acceptance criteria, and manages senior stakeholders and clients with honesty and calibration.

- Hands-on with AI tools in their own workflow — has used AI-assisted tooling to produce working prototypes, wireframes, or internal tools themselves. - Practical understanding of how AI products behave knows outputs are probabilistic, has thought about how to tell whether a model's answers are actually good, and can talk sensibly about accuracy, cost, latency, and where AI is the wrong tool.

- Data-informed decision-making — defines metrics before building, runs experiments, reads a funnel, and connects product decisions to business outcomes.

Good-to-have

- Design and UX instinct — comfortable producing high-fidelity interactive wireframes and reasoning about interaction patterns.

- Domain expertise— financial services, healthcare, energy, manufacturing, public sector.

- Depth in AI evaluation — has built or specified test sets and quality benchmarks for generative &agentic features.

- Technical background — engineering, data, or solution-architecture history; enough code fluency to read a PR and challenge an architecture.

- Demonstrating advanced skills in software engineering and product innovation - Utilizing AI fluency and AI-human collaboration in strategic advising

- Applying analytical thinking and strategic questioning to solve complex problems

- Leading teams through ambiguity with composure and sound judgment

- Excelling in client management and delivering impactful messages

• - Innovating processes with continuous integration and delivery methodologies
• - Utilizing AI fluency and AI-human collaboration in project management
• - Excelling in software engineering with a focus on microservices
• - Leveraging analytical thinking for business process improvement
• - Managing client relationships with effective communication and feedback
• - Embracing change and innovation in software development methodologies

Travel Requirements

Not Specified

Job Posting End Date