Top Product Manager Jobs in Chennai

Own the internal go-to-market and adoption strategy for Ford’s enterprise data platform suite. Responsibilities include positioning products, conducting discovery and pre-sales consultations, creating demos and enablement assets, executing internal marketing campaigns, tracking adoption funnels, prioritizing target domains, gathering customer feedback, and reporting progress to leadership. The role partners with product, engineering, governance, data quality, and platform teams to expand trusted platform usage.

Own the Over-the-Road visibility product portfolio across truckload, LTL, parcel, and last mile. Analyze adoption, engagement, retention, tracking quality, and ETA accuracy using SQL and product analytics tools. Conduct customer discovery, prioritize roadmaps, build AI-assisted prototypes, and partner with engineering, design, customer success, sales, and marketing to ship measurable product improvements.

Lead end-to-end transformation delivery and Agile ways-of-working improvements. Build and operationalize agentic AI capabilities, including Claude-style skills, workflows, playbooks, and reusable assets. Identify and incubate AI use cases that automate or improve requirements, planning, governance, reporting, testing, documentation, RAID management, and decision support. Collaborate with business analysts, project managers, PMO, IT managers, and transformation teams.

Lead hands-on delivery of agentic AI solutions across Salesforce, Slack, and enterprise workflows. Design LLM-powered agents, multi-agent systems, RAG pipelines, semantic search, AI evaluation frameworks, and secure integrations. Build Salesforce components and Agentforce actions, implement CI/CD and observability, establish governance and fallback strategies, modernize legacy integrations, mentor engineers, evaluate AI platforms, and automate manual GTM processes.

The Product Manager will oversee the Inventory & Orders module, handling product specifications, customer feedback, and integration requirements, while collaborating with cross-functional teams.

Leads service and product development strategy and execution for AI services in a global technology-services environment. Guides Agile delivery, technical architecture, DevOps adoption, quality assurance, innovation, performance measurement, and continuous improvement. Collaborates with cross-functional, geographically dispersed teams and stakeholders to develop customer-centric offerings, build consensus, support operational excellence, and manage service or product development teams.

Leads Global South market strategy and insights across LAMEA and ISEAA. Interprets market intelligence, identifies opportunities and risks, develops market segmentation and clustering, monitors local regulatory developments, and translates insights into strategic and portfolio recommendations. Partners with product marketing, application specialists, business planning, and central intelligence teams. Manages a section, develops talent, drives execution quality, and strengthens cross-functional alignment and team performance.

Own the strategy, roadmap, delivery, and growth of an agentic AI platform for enterprise automation. Lead customer discovery, market validation, prioritization, agile execution, cross-functional collaboration, product demos, and AI governance. Translate enterprise pain points into scalable features while partnering with engineering, AI/ML, design, sales, marketing, and solutions teams.

Define product vision, priorities, and roadmaps; translate business and customer needs into requirements and backlogs; lead discovery; collaborate with engineering, architecture, UX, risk, and compliance; establish success metrics; support Agile planning and releases; and align stakeholders around product outcomes and strategy.

Own the Workday HCM product strategy, roadmap, release governance, and adoption programs. Prioritize new functionality and AI capabilities, coordinate release readiness across HR and technology teams, develop business cases, define KPIs, and measure business value. The role partners with HR, analytics, legal, privacy, security, Workday, and other stakeholders to improve employee and manager experiences and guide responsible adoption of emerging capabilities.

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 end-to-end product lifecycle for B2B data, analytics, cloud, and AI products. Responsibilities include customer discovery, product strategy, roadmap and backlog prioritization, agile execution, stakeholder collaboration, product analytics, launch adoption, performance monitoring, and continuous improvement. The role requires translating customer problems into scalable, high-impact products while partnering with Engineering, Architecture, Design, Cloud Operations, Sales, Customer Success, and Marketing.

Own the strategy, roadmap, service model, and investment priorities for an enterprise AI runtime and agentic platform. Productize GPU compute, Kubernetes, model serving, inference, agent orchestration, lifecycle management, APIs, observability, and developer self-service across private, public, and hybrid clouds. Partner with engineering, cloud, security, governance, architecture, and compliance leaders to improve platform reliability, utilization, adoption, cost efficiency, and developer experience. Influence senior stakeholders and translate complex infrastructure capabilities into consumable enterprise services.

Lead email growth product strategy across activation, onboarding, product-led growth, experimentation, analytics, monetization, and retention. The role designs onboarding funnels, viral growth loops, A/B testing programs, and feature adoption initiatives while measuring campaign ROI, lifecycle value, and ARR impact. Success requires cross-functional leadership across engineering, marketing, design, analytics, customer success, and revenue operations.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

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.

Drive simplification and automation of tax operations for a B2B SaaS product. Gather requirements, launch automation features, partner with engineering, design, and operations, and integrate third-party tools to deliver end-to-end solutions.

Own and support product strategy, roadmap development, AI-enabled automation, requirements, and execution for healthcare authorization management capabilities. Partner with Engineering, Design, Analytics, Operations, and healthcare subject matter experts to improve prior authorization accuracy, throughput, scalability, and workflow efficiency. Develop PRDs, user stories, acceptance criteria, success metrics, and launch plans while ensuring alignment with customer needs, payer requirements, and healthcare compliance.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Support the Product Manager with requirements gathering, documentation, feature-delivery follow-up, and project tracking across design, engineering, and QA. Analyze user feedback, meme communities, and on-chain signals to generate product suggestions. Maintain PRDs, competitive analyses, product documentation, and internal reporting while coordinating stakeholders in a fast-paced crypto environment.

Lead product initiatives for banking clients: manage product backlog, prioritize features, collaborate with UX, run PI planning, and support product launch and adoption. Apply end-to-end product lifecycle knowledge within banking domains (KYC/AML/Onboarding/Trade Finance) and use Agile/SAFe practices to deliver solutions while managing stakeholders.

Own the end-to-end development, launch, and growth of crypto card products across multiple markets. Define roadmaps, conduct market and competitive analysis, coordinate partner integrations, create PRDs and product designs, and manage card journeys including issuance, authorization, rewards, and disputes. Collaborate with engineering, compliance, legal, finance, risk, and marketing teams while monitoring KPIs, analyzing data, and improving product performance.

Own strategy, roadmap, discovery, prioritization, and execution for Call Intelligence products. Translate call data, transcripts, and AI-generated insights into analytics and workflows that improve appointment conversion, staff performance, and revenue for healthcare practices. Partner with engineering, data, ML, design, and go-to-market teams to define metrics, run experiments, improve adoption, and deliver reliable AI-assisted products across distributed India and U.S. teams.

Own the AI product roadmap from discovery through launch and iteration. Define model evaluation standards, failure modes, rollback plans, and agent-autonomy boundaries. Prototype and ship production AI features, influence architecture, and apply prompting and context design. Collaborate with Design, Research, Engineering, Sales, Marketing, and Customer Success while tracking quality, latency, cost, adoption, and growth metrics.