Top Product Manager Jobs in Delhi

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.

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.

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.

Drive product strategy and roadmap for healthcare solutions. Collaborate with engineering, design, and marketing to define requirements, launch products, conduct market research, monitor performance, and iterate based on data and stakeholder feedback to deliver customer value.

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.

Lead the vision, strategy, and execution of HighLevel’s Email AI platform. Responsibilities include generative email content and layout creation, autonomous lifecycle sequence generation, predictive send optimization, AI governance, privacy safeguards, roadmap development, instrumentation, and cross-functional alignment. The role aims to accelerate campaign creation, improve engagement, and launch Email AI and Sequence AI capabilities at scale.

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.

Leads complex technical initiatives across Engineering, Product, AI, and Operations. Owns AI/ML infrastructure pipelines, model serving, evaluation, execution planning, delivery dashboards, AI performance metrics, cross-functional alignment, and responsible AI practices. The role translates technical and business needs into structured plans while improving delivery speed, quality, accuracy, latency, and cost.

Manage a cybersecurity vendor product sales funnel, pipeline reviews, deal registrations, lead qualification, customer presentations, quotations, proof-of-concept activities, partner development, training, stakeholder coordination, and marketing investments. The role targets vendor revenue goals and requires IT sales experience, networking and security knowledge, vendor certification, and strong communication skills.

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.

Own the end-to-end roadmap for AI and GenAI products, including conversational AI, agentic systems, RAG, recommendations, and automation. Define product strategy, write PRDs, partner with engineering and cross-functional teams, establish metrics, run experiments, manage stakeholders, and oversee LLM evaluation, prompt versioning, and guardrails. The role focuses on delivering measurable improvements in engagement, efficiency, customer satisfaction, retention, revenue, or cost savings.

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 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.

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

Own the flights product strategy and roadmap, optimizing the booking funnel, search, checkout, add-ons, and post-booking experiences. Lead airline, GDS, NDC, and B2B API partner integrations, drive experimentation, define product requirements, and use metrics to improve conversion, supply coverage, revenue, and customer satisfaction. Collaborate cross-functionally with design, engineering, analytics, AI/ML, and customer experience teams.

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.

Own the activation and onboarding roadmap for Wingify’s Commerce products, taking enterprise customers from signed contract to first measurable value. Lead technical integrations, catalog onboarding, data structuring, configuration, activation KPIs, funnel optimization, and integration reliability. Partner with Engineering, Data, GTM, and customer-facing teams to simplify onboarding through self-service, automation, and AI capabilities such as catalog mapping, natural-language configuration, and proactive troubleshooting.

Own the partner platform product strategy and roadmap, covering embedded solutions, SDKs, public APIs, and white-label experiences. Define the end-to-end partner journey, improve integration workflows, drive cross-functional alignment, and represent partner needs to executives. Establish standards and playbooks that increase adoption, integration quality, and ecosystem growth. Evaluate partner opportunities, prioritize platform investments, and guide engineering, partnerships, operations, legal, compliance, design, and go-to-market teams.

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 the strategy and roadmap for Netomi’s enterprise AI Agents platform. Partner with customers, engineering, research, data science, and go-to-market teams to prioritize and ship capabilities. Build agent prototypes, connect APIs and MCP tools, design evaluations, analyze model quality, debug production failures, and establish governance, observability, and rollout practices. Drive measurable outcomes including resolution rate, cost, CSAT, adoption, and revenue expansion.

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.