Top Product Manager Jobs in Hyderabad

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.

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 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 strategy, roadmap, configuration, and quality of the Nations Vision benefits platform. Manage provider portals, fee schedules, provider networks, plan access rules, and claims processing in partnership with engineering and operations. Drive data integrity, audits, root-cause analysis, automation, and continuous improvement while coordinating with QA, client services, leadership, and hundreds of clients. Translate complex requirements into product specifications and prioritize enhancements based on stakeholder feedback and business needs.

Own the roadmap, requirements, prioritization, and launches for AI security platform areas such as cloud discovery, gateway security, agentic security, and forensics. Lead discovery with enterprise security stakeholders, translate needs into PRDs, partner with engineering and security research, define adoption and detection metrics, and support positioning and enablement. The role requires experience shipping B2B security or infrastructure products, technical fluency across cloud and AI systems, and daily use of AI-assisted workflows.

Own travel product initiatives across flights, hotels, and experiences from discovery through launch and optimization. Define requirements, prioritize work, coordinate engineering, design, business teams, and partners, and analyze user behavior and business metrics. Drive experiments and product-led growth initiatives to improve acquisition, conversion, engagement, retention, and satisfaction. Continuously refine the product using customer feedback, analytics, and performance insights.

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.

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 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.

The AI Product Manager will lead product discovery and strategy, prototype solutions using AI tools, perform competitive analysis, track product metrics, advocate for user experience, and collaborate with different teams.

Join our Growth team as a Junior Product Manager to support product roadmap execution, collaborate across teams, conduct market research, analyze performance metrics, and assist in growth experiments with a focus on user-centric product development.

Own the product strategy and roadmap for freight commercial workflows, including quoting, rating, pricing, and booking across air and ocean freight. Translate logistics domain expertise into enterprise product requirements, partner with engineering, design, commercial, and go-to-market teams, conduct customer discovery, define success metrics, and drive products through launch and iteration. Evaluate AI/ML, agentic pricing, real-time rate distribution, and evolving industry standards.

Own product lines of agent-based AI systems: write machine-readable specs, design prompt/tool/schema behavior, build HTML prototypes with live model calls, run evaluations, choose model tradeoffs, instrument usage/quality/cost, and work closely with engineering, GenAI, design, and enterprise customers to ship measured outcomes.

Drivetrain seeks a Product Manager to lead B2B SaaS platform development, focusing on API ecosystems and customer research. Emphasis on clear communication and independent goal achievement.

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.

The Sr. Technical Product Manager will lead AI product development, drive roadmap execution, engage with customers for insights, and foster a results-oriented culture.

Lead development of agentic AI products by translating LLM/agent concepts into production workflows, driving roadmap and execution, working closely with engineers and data scientists, prioritizing features, and incorporating customer insights to ship high-quality, production-ready AI systems.

Own and ship developer-focused observability product features (alerts, APM, onboarding, connected investigations). Collaborate with engineers and power users to improve UX, reduce alert fatigue, speed root-cause workflows, and optimize telemetry onboarding and query performance.

Lead product strategy, discovery, and roadmap for Trust Wallet; collaborate with engineering, design, security, and marketing to build secure, compliant, and scalable wallet features; drive user engagement, retention, and growth; manage and mentor a product team; set KPIs and iterate using data-driven insights.