Top Product Manager Jobs in Hyderabad

Define the vision, roadmap, strategy, and measurable outcomes for enterprise AI platforms. Identify and prioritize high-value AI use cases, develop reusable platform capabilities, manage internal customers, and create commercialization and partnership strategies. The role requires strong knowledge of GenAI, LLMs, RAG, agents, embeddings, vector databases, model lifecycle management, AI risk, ethics, privacy, and compliance. It also involves cross-functional collaboration, stakeholder influence, and translating technical concepts into business value.

Lead product strategy and execution for a unified data publishing and processing platform. Drive discovery, roadmaps, reusable blueprints, onboarding/self-service, processing frameworks, data quality, catalog and entitlement integration, observability, and AI-assisted migrations. Partner with engineering, governance, SRE, and vendors to ensure reliability, security, compliance, and cost efficiency while measuring success via time‑to‑publish, error rates, adoption, and cost metrics.

Lead strategy and execution to expand Motive's Spend Management and Motive Card into new sectors and geographies. Run customer research, define ICPs and MVP, build roadmaps, author PRDs/wireframes, define metrics, and collaborate cross-functionally with Sales, Finance, Legal, Risk, Compliance, and Engineering to drive adoption and revenue.

Lead CLM product strategy and roadmap, drive discovery and launches, partner with Legal and Sourcing, operationalize AI-extracted contract metadata, and deliver analytics-ready datasets while ensuring scalability, reliability, and strong customer value.

Lead SAP S/4HANA procurement product roadmap and blueprinting for migration from ECC. Align stakeholders, manage cross-functional delivery, track KPIs, mitigate risks, and drive adoption of new processes and integrations.

Lead product discovery, define outcomes and scope, convert requirements into delivery-ready epics and user stories, support engineers, perform functional validation and demos, drive stakeholder engagement and adoption, use approved AI tools to accelerate deliverables, and participate in technical architecture discussions to shape enterprise-ready outcomes.

Lead definition and delivery of complex, cross-team consumer digital experiences. Translate business strategy into outcome-driven roadmaps, partner with UX/engineering/architecture, drive execution, incorporate AI responsibly, monitor production performance, and communicate results to senior stakeholders while mentoring other TPMs.

Own a Business Onboarding Verification workstream end-to-end: define problems, set roadmap, translate ambiguous KYB issues into measurable product requirements, partner cross-functionally, launch with guardrails, and iterate to reduce manual review, operational cost, and customer friction while improving controls and auditability.

Own the vision, strategy, and delivery for GenAI-focused software products. Drive user research, prioritize backlog, define requirements, ensure quality, regulatory compliance, scalability, and collaborate cross-functionally to validate and launch AI-enabled solutions.

Leads the strategic vision, roadmap, development, and lifecycle management of digital products. Defines product features, analyzes markets and consumer trends, optimizes customer journeys, and guides cross-functional teams. Collaborates with stakeholders on implementation issues, product documentation, prioritization, and customer communications while using qualitative and quantitative insights to improve product performance and inform future enhancements.

Lead technical design, configuration, and delivery of Digital Configuration Management (DCM) systems (Rulestream/Teamcenter/SAP). Partner with product and business leads, produce technical designs, manage integrations, oversee UAT and cutover, coordinate vendors/contractors, and ensure post-go-live support and governance for global rollouts.

The Product Manager will conduct user research, analyze market trends, define product roadmaps, collaborate with teams, and leverage data for growth.

Own and roadmap fleet management product experiences for dispatchers, operators, and drivers. Translate customer pain into web and mobile workflows, define metrics, run betas, work with data scientists to build AI features from sensor data, and collaborate cross-functionally while gathering field feedback.

Lead product domain strategy and lifecycle for ecommerce products: define requirements, conduct research and data analysis, collaborate with UX and engineering, set KPIs, manage launches, evaluate global impact, and iterate based on metrics and tests.

Lead product development for Reputation's core reputation management SaaS: define requirements, conduct market and customer research, prioritize engineering efforts, produce developer- and customer-facing deliverables, collaborate with design and engineering, evangelize product vision, and use data to measure success across releases.

Lead product strategy and roadmap for New Relics observability platform, partnering with engineering, design, and GTM teams to define AI-enabled features, prioritize initiatives, and measure success through customer impact and business metrics.

The Product Manager will oversee the integration of the Order & Portfolio Management System, managing features through the trade lifecycle, collaborating across teams, and conducting competitor analysis.

Lead discovery, validation, launch, and scaling of new consulting, managed-service, and technology-enabled loyalty offerings. Build market research, business cases, pricing, service blueprints, GTM materials, and launch readiness. Own post-launch roadmap, performance metrics, and practice incubation to a standalone unit. Collaborate cross-functionally with sales, marketing, product, engineering, delivery, and partners; support early pursuits and transition the practice to permanent leadership.

The role involves leading product development in Generative AI, creating a product roadmap, collaborating with teams, and ensuring responsible AI practices.

Lead product for Reputation's core SaaS platform: define requirements, conduct market and customer research, prioritize engineering work, create developer- and customer-facing deliverables, collaborate cross-functionally, evangelize vision, use data-driven decisions, and own features end-to-end from definition through launch and iteration.

Support product operations by collecting and tracking user feedback, coordinating product issues across teams, organizing requirements, analyzing basic data, maintaining web pages, and assisting with AI-related projects. The role requires cross-functional communication, problem-solving, execution skills, bilingual English and Mandarin proficiency, and availability for 3–5 days per week for at least six months.

Early-career Product Manager in analytics/strategy focusing on behavioral data analysis, A/B testing, funnel diagnostics, and recommendation ranking optimization. Produce strategy docs and PRDs, collaborate with algorithm teams, develop labels/taxonomies, and deliver actionable insights from experiments and data extraction.

Lead development of observability products (metrics, dashboards, alerts, APIs) by defining requirements, writing PRDs, engaging customers, prioritizing roadmap, and driving cross-functional launches and EOL consolidation.

Lead the risk product suite roadmap and execution for merchant onboarding, fraud prevention, and credit risk. Manage a risk engineering and data science squad, build real-time risk engines and ML models, optimize KYC/KYB onboarding flows, and develop lending/settlement risk models to minimize financial loss while preserving merchant and buyer experience.

Leads distributed software product teams across the product lifecycle, including user research, product vision, strategy, roadmaps, sprint priorities, partnerships, budgeting, metrics, team development, and promotions. The role also contributes to software design, development, testing, code reviews, releases, and Agile practices. Product Managers collaborate with language technology leadership, developers, partners, and global translation-team users.