Top Product Manager Jobs in Mumbai

Lead product strategy and execution for an AI-native mobile communication application. Define requirements, user journeys, priorities, acceptance criteria, and roadmap; collaborate with design and engineering through launch and iteration. Analyze usage, feedback, and performance metrics to improve activation, engagement, and retention. Research user behavior, competitors, and market trends to identify opportunities and guide product decisions.

Manage the end-to-end lifecycle and growth of digital payment products including UPI, IMPS, NEFT, RTGS, and merchant payments. Drive product adoption, transaction growth, customer experience, regulatory compliance, partner relationships, feature delivery, and ecosystem initiatives. Monitor performance, service levels, customer feedback, and complaints while collaborating with technology, operations, risk, compliance, business teams, NPCI, fintechs, and payment partners.

Own the strategy, roadmap, packaging, pricing, and growth path for Supabase Spark projects, a backend project type designed for agent-built software. Define the MVP-to-production journey, partner with engineering, growth, finance, and platform customers, and use instrumentation, experimentation, and data analysis to guide product decisions. The role is fully remote and emphasizes rapid iteration, developer tools, infrastructure, and agent-driven development.

Lead complex digital transformation programs focused on mobile banking customer journeys, including cards, payments, account servicing, and security/authentication. The role manages end-to-end delivery, senior stakeholder engagement, risks, blockers, multiple capabilities, and Agile execution. Success requires strong communication, prioritization, resilience, strategic oversight, and detailed delivery management across changing priorities.

Leads the design, implementation, optimization, and lifecycle management of Salesforce Revenue Cloud, Sales Cloud, and Service Cloud solutions. Owns CPQ, pricing, product catalog, orders, contracts, integrations, scalability, security, and performance. Collaborates with international and cross-functional teams, leads technical workshops and solution architecture, manages internal and external teams, and oversees programs from scope through delivery while tracking KPIs and mitigating risks.

Own the supply-planning product area for an enterprise AI platform. Translate planner and supply-network problems into reusable product requirements, capabilities, constraints, scenarios, and workflows. Partner with planners and engineers on prioritization, roadmap decisions, validation, adoption, and measurable operational outcomes. Apply hands-on planning expertise across manufacturing, sourcing, inventory, deployment, capacity, and production decisions while exploring explainable AI-assisted planning.

Own the vision, roadmap, development, and commercialization of AI interfaces and agent solutions for sustainability and climate products. Lead MCP and AI Insights enhancements, ensure data is AI-ready across APIs, data feeds, Snowflake, and client platforms, and collaborate with Engineering, Research, Legal, Data Operations, and Client Coverage. Validate solutions with clients, define requirements and documentation, support governance reviews, present business cases, and track adoption, quality, and commercial impact.

The Product Manager will design and improve trade products, manage P&L, liaise with teams for compliance and operational excellence, and maintain regulatory standards.

Own product strategy, roadmaps, requirements, backlogs, and lifecycle delivery for e-commerce products. Collaborate with engineering, design, marketing, and stakeholders; manage product catalogs; conduct market and competitor research; prioritize features using data; facilitate Agile ceremonies; and monitor product performance metrics and KPIs.

Own product improvements supporting scientific research and publication workflows. Conduct user research, identify researcher needs, define product opportunities, create specifications and prototypes using AI-assisted tools, prioritize features, establish success metrics, analyze usage and feedback, and communicate product vision and trade-offs across teams. The role requires scientific domain expertise, a user-centric mindset, independent execution, and experience or advanced education in life sciences, scientific publishing, biotech software, health technology, or technical education.

Leads product strategy and execution for a retirement managed-accounts platform. Acts as Product Owner for an Agile scrum team, writes user stories, prioritizes features, analyzes product data, manages roadmaps, and collaborates with engineering, design, data, and clients. The role requires API and integration knowledge, generative AI fluency, regulated financial-services judgment, and oversight of client and user support operations.

Lead product management maturity across the organization while serving as interim product owner for Advanced Ads. Mentor Product Managers, implement an outcome-driven operating model, define product vision and strategy, lead continuous discovery, prioritize roadmap investments, and own monetization, growth, customer adoption, MRR, and LTV. Partner with Engineering, Design, and Growth to commercialize products and shape the business line’s long-term organizational and resource needs.

Own the product lifecycle from discovery through launch and continuous improvement. Define product vision, strategy, roadmap, requirements, and backlog priorities while collaborating with Engineering, Design, Marketing, Sales, and other stakeholders. Use customer feedback, market research, analytics, and product metrics to guide decisions, improve customer experience, and measure outcomes. Support product launches, communicate priorities and trade-offs, and align product initiatives with business goals.

Leads manual software and computer system testing for clinical systems, including test planning, scripting, traceability, defect tracking, requirements review, validation, and compliance with GxP, GAMP 5, and 21 CFR Part 11. Collaborates with technical and business stakeholders, supports user issues through resolution, manages quality documentation, identifies risks, mentors colleagues, and drives testing process improvements across clinical research projects.

Lead zero-to-one product development of an AI contract-review agent: define vision, run extensive user discovery, scope prototypes, drive tech strategy with engineers, deliver MVP, and shape early GTM and positioning.

Manage product features and roadmaps for legal and CLM products by gathering customer needs, defining requirements and wireframes, prioritizing sprint work, coordinating engineering and business teams, and producing sales and marketing collateral. Analyze market and customer use cases to drive strategic product decisions and measure success with KPIs.

Own the strategy, roadmap, architecture, and execution of AI capabilities across an enterprise GRC SaaS platform. Lead agentic workflows, AI safety, grounding, auditability, evaluation frameworks, model integrations, prototypes, and usage analysis. Partner with engineering, design, GRC experts, executives, go-to-market teams, and customers to deliver reliable automation with measurable outcomes. Serve as the company’s AI and GRC thought leader while translating emerging AI technologies into valuable product opportunities.

This Product Manager role is responsible for managing cash delivery services, electronic payments, and engaging stakeholders for digital opportunities while ensuring compliance with bank policies.

Own the roadmap and delivery for a defined identity platform area, improving sign-up, sign-in, and account recovery. Partner with engineering, design, research, analytics, security, risk, and privacy teams to define requirements, prioritize initiatives, launch capabilities, and measure outcomes. Evaluate reusable identity APIs, integrations, and AI opportunities while addressing fraud, account security, privacy, reliability, and emerging threats.

The Associate Product Manager will discover workflow problems, prototype AI-enabled solutions, create product documentation, coordinate testing and rollouts, automate repetitive processes, analyze product usage, and collaborate with stakeholders and development teams. The role requires hands-on use of LLM APIs, automation tools, SQL, and lightweight scripting, along with travel to Sun King markets as needed.

Own the end-to-end product experience for agentic AI products, including roadmap, feature definition, UX optimization, onboarding, and in-app education. Analyze product usage and customer feedback to identify friction, simplify workflows, improve conversion, and prioritize high-impact improvements. Partner with design and engineering while independently driving product direction, creating detailed PRDs, tickets, prototypes, and designs in a fast-moving startup environment.

Own product strategy, discovery, prioritization, and delivery for Priceline’s Flights business. Define product vision and measurable outcomes, analyze customer and business data, manage backlogs and dependencies, and coordinate quarterly and sprint planning. Partner with engineering, design, finance, commercial, accounting, and data teams to deliver customer and business value. The role is hands-on and may involve troubleshooting database records and API responses.

Lead product strategy, define vision and roadmaps, gather and prioritize requirements, translate objectives into specs and user stories, manage lifecycles from discovery to launch, collaborate with design and engineering, set KPIs, analyze market and customer feedback, and drive data-informed product improvements.

Own enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and value realization. Translate customer workflows into product requirements, technical solutions, deployment roadmaps, and measurable outcomes. Partner with engineering, sales, customer success, finance, legal, security, and operations while evaluating AI trade-offs, business value, and production readiness. Identify reusable customer needs and help establish scalable product, operating, and deployment playbooks.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.