Top Product Manager Jobs in Delhi

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 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.

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.

Lead complex technical initiatives across Engineering, Product, AI, and Operations. Drive automation and platform programs, translate technical and business requirements into execution plans, manage milestones, dependencies, risks, and stakeholder communication, and establish dashboards, metrics, reviews, and operating cadences. The role focuses on improving system reliability, operational efficiency, scalability, delivery predictability, and cross-functional execution in a fast-moving technology environment.

Own the roadmap, discovery, development, launch, lifecycle, and adoption of IMDA’s Open Innovation Platform. Collaborate with stakeholders, developers, UI/UX teams, marketing, IT partners, and vendors to define requirements, deliver iterative enhancements, manage KPIs, oversee contracts and service levels, and drive product strategy. The role also supports AI feature integration, government procurement, and platform operations.

Leads end-to-end WMS and LMS implementation projects across warehouse sites, covering requirements, design, configuration, integrations, testing, launch, documentation, training, troubleshooting, and production support. Manages vendors, clients, budgets, risks, schedules, communications, and project closure. Develops WMS customizations and business requirements, coordinates cross-functional teams, mentors junior staff, and ensures successful, on-time deployments.

Own software product work from problem definition through launch and follow-up. Prioritize user and business needs, define scope and success measures, collaborate with design and engineering, manage stakeholder requirements, support testing and release readiness, communicate launches, and use post-launch data and feedback to guide improvements. This is a hands-on, fully remote individual contributor role supporting education technology products.

Lead Multiplier’s company-wide AI strategy, shared AI platform, and customer-facing AI experiences. Build agent infrastructure, retrieval, tool access, evaluation, and safety systems; launch an AI agent that answers questions using customer data and eventually executes tasks. Lead a cross-functional team, establish AI development standards, and partner across product, engineering, support, and operations to deliver trusted, scalable AI capabilities.

Lead HighLevel’s Commerce product organization across business operations, fulfillment, and finance. Set the catalog-to-cash strategy, manage and develop Product Managers, and own roadmaps spanning product information, pricing, inventory, fulfillment, payments, invoicing, and accounting. Drive platform coherence, measurable growth, reliability, and merchant adoption while partnering with engineering, design, finance, operations, and executive stakeholders.

Lead product strategy, growth, and execution across a portfolio of B2C products. Define roadmaps, prioritize opportunities, drive launches and continuous improvement, and improve conversion, profitability, and customer lifetime value through data and experimentation. Partner with cross-functional teams, influence senior stakeholders, and manage, mentor, and develop Product Managers while leveraging AI and emerging technologies.

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.

Manage projects in the transaction banking sector with an emphasis on compliance and retail payments, using Agile methodologies and strong stakeholder management.

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.

Oversee product development, positioning, demonstrations, training, customer support, usage tracking, retention, and engagement. Gather customer feedback for product improvements, monitor service delivery, onboard freelance trainers, and collaborate with sales teams using data-driven insights to increase product adoption, profitability, cross-selling, and customer satisfaction.

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 growth product strategy and roadmap across acquisition, activation, engagement, referrals, rewards, and retention. Lead product-led growth loops, funnel optimization, experimentation, and lifecycle programs. Partner with Engineering, Design, Marketing, and Analytics to identify opportunities, make data-informed decisions, and deliver scalable experiences across markets and customer segments.

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.

Own the strategy, roadmap, and delivery of AI and geospatial products from proof of concept through production. Lead prioritisation, PRDs, QA, releases, observability, evaluation, and responsible AI practices. Develop agentic workflows, retrieval systems, forecasting, recommendations, and decision-support tools for government users. Drive adoption, partnerships, stakeholder alignment, and measurable policy impact across ministries, enterprises, and mission-driven organisations.

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.

The Product Manager will lead the strategy for AI and data-driven products, collaborate with teams, and optimize workflows to enhance user experience and business value.

Own end-to-end launches and product upgrades across global markets. Coordinate Product Development, suppliers, Supply Chain, Ecommerce, Marketing, Sales, Compliance, and country teams to achieve launch readiness. Manage milestones, dependencies, risks, quality gates, documentation, inventory, Shopify setup, training, testing, and go/no-go decisions. Improve launch processes through retrospectives, risk tracking, SKU transitions, and installation manual quality improvements.

Own the data platform product roadmap, including multi-chain ingestion, on-chain parsing, token and market data, APIs, datasets, analytics tools, governance, quality monitoring, and metric frameworks. Partner with engineering, backend, algorithm, BI, risk, growth, and business teams to deliver reusable data products. The role requires substantial product management experience, hands-on Web3 knowledge, understanding of blockchain data models, SQL proficiency, and familiarity with data infrastructure and analytics tooling.