Top Product Manager Jobs in Hyderabad

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 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.

Lead strategy and execution for HighLevel’s enterprise voice and contact center platform, owning SIP, HardPhone provisioning, IVR, CCaaS, routing, APIs/SDKs, and telephony-scale architecture. Drive ACD/ACD features, softphone experiences, provider-agnostic middleware, IVR/Voice AI, device lifecycle and migrations while partnering across engineering, operations, security and GTM to meet platform KPIs and enterprise reliability requirements.

Own the strategy and roadmap for HighLevel’s Custom Objects and CRM data platform. Define scalable entities, relationships, permissions, APIs, integrations, and data capabilities across workflows, reporting, AI, and other products. Partner with Engineering and Architecture on data modeling, scalability, performance, integrity, and platform extensibility. Lead discovery through delivery, adoption, and iteration while aligning cross-functional teams and measuring customer and platform outcomes.

The Product Owner/Product Manager is responsible for managing module ownership, delivering on product roadmap timelines, engaging with customers, and contributing to market research and product development.

Lead product strategy and roadmap for VIP/institutional products. Own end-to-end delivery of VIP user flows, onboarding, account management, support, and trading journeys. Collaborate with business, ops, engineering, design, data, and compliance. Track metrics, optimize performance, drive growth initiatives, and mentor PMs in the VIP domain.

Lead vision, strategy, and roadmap for digital experience products. Prioritize backlog, define features, collaborate with design, engineering, and stakeholders, manage product lifecycle, track KPIs, run Agile ceremonies, and deliver scalable CMS and marketing-technology solutions.

Lead OTC product strategy and roadmap: research market/competitors, optimize OTC pricing/liquidity and RFQ workflows, automate processes, build analytics dashboards, write PRDs, partner with engineering/ops, monitor data and feedback, and manage cross-functional delivery.

Lead product direction and roadmap for backend trading systems (matching engine, risk engines, pricing models). Translate complex trading and risk logic into technical requirements, manage full product lifecycle, monitor backend performance, and ensure regulatory and best-practice compliance.

Join an early-career product program to define and deliver backend trading infrastructure. Improve matching and risk engines, collaborate with engineering on technical solutions, monitor backend performance, and ensure regulatory and best-practice compliance for derivatives products.

Lead design and execution of Binance's global fiat payment platform, focusing on clearing, settlement, transaction lifecycle, reconciliation, and scalable integrations with PSPs and bank rails. Own product roadmap, collaborate with engineering, risk, compliance, and finance, define system metrics, and drive platform-level optimizations for multi-region scalability and reliability.

Lead product domain strategy and full product lifecycle for ecommerce products: define KPIs, research, UX/UI, technical specs, integrations, launches, and post-launch analysis; collaborate cross-functionally, drive data-led decisions, and manage risks and dependencies to deliver high-quality omnichannel retail experiences.

Lead strategy and execution for HighLevels Agency Revenue Suite to drive onboarding, activation, adoption, retention, and revenue. Define measurement, experimentation, and health models with Data Science and Analytics. Own roadmap, stakeholder alignment, and mentor PMs while delivering measurable growth across SaaS Mode, Reselling, and Rebilling.

Own the integrations product roadmap and delivery for APIs, connectors, and platform capabilities. Drive discovery, prioritize features, collaborate with engineering and partners, enable GTM, monitor integration metrics, and embed AI-driven improvements to improve adoption, reliability, and business impact.

Lead strategy, roadmap, discovery, and go-to-market execution for Experian’s Digital Intelligence fraud platform. Drive device intelligence, behavioral analytics, biometrics, AI/ML capabilities, microservices, APIs, and SDK-based solutions. Partner with engineering, data science, sales, customer success, and global product teams to improve fraud detection, reduce false positives and vendor dependency, accelerate adoption, and deliver revenue, cost, and scalability impact.

Own the vision, strategy, and roadmap for CoinMarketCap’s on-chain data products. Responsibilities include writing product requirements and user stories, analyzing qualitative and quantitative data, collaborating with business, IT, and design stakeholders, evaluating launched features, and assessing competitors and partners. The role focuses on improving on-chain data infrastructure and integrating internal and third-party tools to create valuable products for cryptocurrency users.

Lead the Help Center product roadmap to increase automation rate and CSAT by building AI-powered search, personalized article experiences, and self-service workflows. Partner with ML, engineering, CX ops, content, and data science to maintain global knowledge, define funnel metrics, and integrate chat/agent tooling and third-party vendors to deflect contacts and proactively resolve issues.

The Senior Product Manager will lead the credit team, build and maintain products, own product metrics, and improve user journeys through analytics.

Lead digital product strategy and execution for wealth management platforms: define roadmaps, prioritize features, coordinate cross-functional teams, drive launches, resolve escalations, and use qualitative and quantitative insights to optimize user experience and product performance.

Lead the end-to-end product lifecycle for options and derivatives trading products: define strategy, requirements, and roadmaps; collaborate with engineering, design, risk, compliance, and marketing; analyze market and user data; launch and iterate products to optimize performance.

Lead listing campaign and spot trading growth initiatives from ideation to execution. Design promotional products, define metrics, analyze performance, run market and competitor research, and coordinate cross-functional teams (marketing, engineering, risk, legal, operations) to ensure compliant product launches that drive user acquisition, retention, and trading volume.

The Senior Product Manager will lead product roadmaps, mentor teams, manage execution, collaborate with engineering, and monitor product performance across multiple regions.

Own product strategy and execution for KYB and compliance products, collaborate with global vendors and cross-functional teams to build verification platforms, prioritize stakeholder/user feedback, define product metrics, and integrate AI/ML to streamline KYB onboarding for corporate users.

Lead product direction and roadmap for backend trading systems, including matching and risk engines and pricing models for derivatives. Translate complex trading and risk logic into technical requirements, collaborate with engineering through full product lifecycle, monitor backend performance, and ensure compliance with standards and regulations.