Top Product Manager Jobs in Kolkata

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 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.

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.

Lead product initiatives for GoDaddy’s global eCommerce platform across catalog, pricing, ordering, provisioning, and renewals. Own roadmap development, discovery, prioritization, requirements, acceptance criteria, and feature delivery. Partner with engineering and cross-functional teams, use data and experimentation to guide decisions, and support platform reliability, security, compliance, and modernization efforts across distributed teams.

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.

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.

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 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 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 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.

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.

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.

Own the roadmap and execution for HighLevel’s payment orchestration platform, including provider routing, transaction lifecycles, receipts, webhook processing, APIs, reliability, observability, security, and compliance. Partner with engineering and cross-functional teams to improve transaction success, authorization rates, provider coverage, developer experience, and platform reliability using payments data and measurable outcomes.

Own the lifecycle and business impact of machine-learning products supporting pricing, matching, ranking, forecasting, fraud, credit risk, and personalization. Lead data-driven discovery, problem framing, metrics, experimentation, roadmap decisions, production monitoring, and model retirement. Partner with data scientists, ML engineers, data engineers, and cross-functional stakeholders across multiple markets. Mentor peers and promote rigorous, transparent data-driven decision-making.

Own the B2C and Events product roadmap, taking the Events product from beta to general availability. Lead ticketing, payments, checkout, attendee and organizer experiences, event-day operations, discovery, integrations, experimentation, and platform reliability. Partner cross-functionally to define metrics, drive adoption, improve conversion and retention, and deliver measurable growth in events, registrations, organizers, and ticket revenue.

Own the strategy, roadmap, and execution of enterprise tokenization and capital markets products for major financial institutions. Lead customer discovery, prototyping, partner collaboration, enterprise sales support, InfoSec reviews, RFPs, competitive analysis, and go-to-market assets. Translate traditional finance expertise and institutional market requirements into scalable software capabilities across privacy, integrations, deployment models, issuance, lifecycle management, trading, and settlement.

Own Tala’s product strategy and roadmap for fraud prevention, authentication, identity, and risk capabilities. Partner with Engineering, Data Science, Analytics, and business teams to build data-driven fraud products, define decisioning metrics and thresholds, manage fraud incidents, improve customer security, and minimize friction. Lead cross-functional execution from discovery through launch and iteration while managing external technology partners.

Own the end-to-end product experience for agentic AI products, partnering closely with the CPO, design, and engineering. Responsibilities include defining the roadmap, features, UX improvements, onboarding, in-app education, and product marketing content. The role requires deep product exploration, data-driven prioritization, identifying friction and gaps, creating comprehensive PRDs and prototypes, and shipping simple, high-impact improvements in a fast-moving startup environment.

Drive strategy, delivery, and optimization of consumer crypto trading products. Build growth programs, creator- and community-driven experiences, referral and rewards systems, and tokenized real-world asset products. Use Web3 trading expertise, market data, experimentation, and user metrics to improve activation, retention, and trading volume while coordinating with global cross-functional teams and partners.

Own the roadmap and delivery of an internal Media Buyer Automation Platform, including rules, pacing, spend controls, alerts, and workflow tools. Partner with media buyers, engineering, data, creative, and operations to automate manual processes, define metrics, write specifications, prototype solutions, drive adoption, and run staged experiments. The role expands across internal marketing, reporting, creative, and acquisition tools while optimizing spend efficiency, ROAS, CPA, and team capacity.

Define product strategy, roadmap, backlog, and OKRs for digital products serving global users. Lead customer research, competitive analysis, experimentation, requirements gathering, prioritization, release readiness, go-to-market collaboration, and product performance measurement. Partner closely with engineering, design, marketing, and delivery teams while coordinating dependencies and mentoring team members in a remote environment.

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.