Top Product Manager Jobs in Kolkata

Owns the enterprise Workday Performance Management product vision, roadmap, backlog, solution design, release readiness, and continuous improvement. Partners with HR leaders and technology teams to deliver scalable employee experiences, standardize and automate processes, drive adoption, and ensure data protection compliance. Uses AI, analytics, stakeholder influence, and change leadership to optimize global talent and performance management solutions.

Product Manager responsible for defining product vision and strategy, identifying customer needs, prioritizing requirements, coordinating cross-functional design and engineering teams, managing product launches, developing pricing and positioning, forecasting sales, conducting ROI analysis, and supporting product marketing. The role also includes managing the product team, gathering customer feedback, and communicating recommendations to executives and external partners.

Owns the continuous improvement, scalability, and expansion of AI and automation across HR services. The role monitors AI accuracy, latency, errors, operational impact, and KPIs; prioritizes training data; identifies automation opportunities; investigates output issues; and manages feedback cycles. The Product Manager partners with HR and multidisciplinary teams to standardize processes, communicate AI concepts, deliver global programs, and ensure reliable, compliant, customer-focused solutions.

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.

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 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.

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.

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, roadmap, prioritization, and execution across talent, marketplace, vetting, onboarding, trust, and platform workflows. Translate ambiguous problems into requirements, use data and experimentation to guide decisions, shape user experiences, and partner with engineering, design, data, QA, and operations to deliver scalable products.

Own the Supabase Realtime product surface, including Broadcast, Presence, and Postgres Changes. Develop the roadmap, prioritize developer problems, shape user experience with Engineering and Design, and align GTM teams. Manage packaging and pricing, analyze product usage data, and guide Realtime’s evolution for collaborative, event-driven, and AI applications. The role requires strong understanding of full-stack development, real-time synchronization patterns, Postgres, and asynchronous remote collaboration.

Leads product strategy and roadmap for GoDaddy’s account risk management capabilities. Defines platform and internal tool requirements, partners with engineering, design, business, and operations teams, identifies risk and performance gaps, and drives scalable solutions that balance fraud prevention, business growth, and customer experience. The role also requires senior stakeholder engagement and technical expertise in web services, APIs, AI, and anomaly detection.

Drive the Trading API and Alpaca Connect Marketplace roadmap, including partner onboarding, app discovery, OAuth experiences, and platform utilities. Define product strategy and requirements, analyze customer behavior and ROI, own product metrics, optimize acquisition and retention funnels, and lead go-to-market initiatives that increase adoption, trading volume, and revenue. Collaborate with engineering, design, data, marketing, sales, partnerships, and operations.

Own Bureau’s credit product line, including credit signals, risk scores, decisioning tools, and lifecycle capabilities. Build products for onboarding, underwriting, limits, early warnings, and collections; partner with data science to productionize models; engage lenders to identify needs; and track approval, delinquency, and fraud outcomes. Collaborate with sales and compliance while ensuring alignment with RBI and data protection requirements.

Own the Supabase Auth product roadmap and developer experience across authentication, authorization, identity, SSO, MFA, passkeys, OAuth, organizations, and multi-tenant applications. Collaborate with customers, Engineering, Design, Security, and GTM; use product data to prioritize improvements; define authentication for AI agents; and align teams on product plans and rationale.

Define product roadmaps, requirements, and success metrics for AI-native communication applications. Translate user needs into technical features and workflows, evaluate architecture and engineering trade-offs, and lead products from planning through launch and iteration. Analyze user behavior, experiments, and performance to improve adoption, engagement, retention, and business outcomes. Assess market opportunities and collaborate with engineering on complex systems, integrations, reliability, and performance.

Own ELSA’s end-to-end B2C consumer product experience, including onboarding, learning, AI coaching, subscriptions, engagement, and retention. Drive acquisition, activation, conversion, monetization, and learning outcomes through user research, behavioral analytics, experimentation, and roadmap prioritization. Partner with Engineering, AI/ML, Design, Marketing, Growth, and Data teams to deliver personalized experiences, run A/B tests, measure product performance, and communicate strategy and results to leadership.

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.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.

Own and prioritize delivery backlogs for a connected consumer grooming ecosystem spanning mobile apps, IoT devices, firmware, BLE, hardware, UX, and cloud services. Translate approved Epics into user stories, acceptance criteria, and sprint-ready work. Coordinate dependencies, compliance, releases, risks, documentation, and distributed engineering teams while serving as the primary delivery liaison between Product Management and technical partners.

Associate Product Manager responsible for understanding customer needs, defining product opportunities, creating requirements and roadmaps, partnering with Engineering and Design, running experiments, analyzing metrics, and improving lending product outcomes. The role collaborates with Risk, Operations, Data Science, Compliance, and external partners while independently owning product initiatives and contributing to long-term product strategy.

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.

Own an ERP module or module cluster across discovery, requirements, roadmap prioritization, delivery, UAT, adoption, and post-launch improvement. Translate finance, merchandising, inventory, and supply chain workflows into functional requirements, process designs, prototypes, and API documentation. Coordinate with Engineering, QA, customers, Sales, Support, and Customer Success while managing dependencies, data migration, statutory logic, integrations, release enablement, training, and product analytics.