Top Product Manager Jobs in Bengaluru

Own the AI/ML Platform product layer, defining its vision, roadmap, requirements, metrics, governance, evaluation, deployment, monitoring, and lifecycle workflows. Partner with data scientists, ML engineers, product teams, security, legal, and governance stakeholders to deliver reusable platform capabilities, improve adoption and reliability, and balance scalability, cost, and operational trade-offs.

Own platform product development for Bruno’s paid enterprise offering, including licensing, plans, trials, authentication, access control, and admin tooling. Translate roadmap items and enterprise requests into scoped specifications, coordinate engineering sizing and sequencing, define success metrics, manage releases, and support sales and customer teams. The role requires systems thinking across permissions, data models, existing customers, self-hosted deployments, and enterprise edge cases, with work conducted from Bruno’s Bangalore office.

Apprentice-level Product Manager working with senior product managers and engineers on a live AI SaaS product. Responsibilities include user interviews, organizing research, documenting requirements and workflows, breaking problems into engineering tasks, prototyping, tracking feature progress, answering clarifying questions, and gathering post-launch feedback. The role emphasizes mentorship, coachability, clear communication, organization, and learning product management fundamentals.

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.

Lead product discovery, strategy, solutioning, and zero-to-one development for agriculture-focused data and AI products. Partner with engineering, design, data science, sales, and customer success teams to validate customer problems, define roadmaps, launch scalable solutions, and drive adoption. The role requires strong agriculture expertise, commercial judgment, analytical skills, and experience delivering complex products in a startup environment. Knowledge of remote sensing and geospatial technologies is advantageous.

Own the product roadmap by partnering with engineering and data science teams, conducting user research, prioritizing features, tracking KPIs, and developing product messaging and launch strategies. The role requires strong analytical, communication, collaboration, and business metric skills, plus familiarity with AI concepts and multimodal LLMs. Experience in product companies is expected, with startup and deep-tech experience preferred.

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.

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.

Own product strategy, execution, and experimentation for AI-powered web and mobile experiences. Partner with Engineering, Design, Data Science, and ML teams to ship conversational AI, intelligent product flows, and consumer fintech features. Define metrics, run experiments, move quickly, and manage an independent business unit with P&L ownership.

Own the strategy, roadmap, and lifecycle of banking platform capabilities including account onboarding, verification, payments, settlements, partner integrations, and reconciliation. Define requirements, metrics, controls, and resilience plans while coordinating Engineering, Risk, Compliance, Legal, Operations, and senior leadership. Improve internal developer and product-team experience through reliable APIs, documentation, and self-service tools. The role requires strong technical fluency in backend platforms, distributed systems, cloud architecture, and regulated financial infrastructure.

Own product discovery, requirements, prioritization, pre-sales engagements, onboarding, customer success, release quality, and product analytics. The role involves customer calls, API demos and walkthroughs, UAT, workflow mapping, internal tool development, and identifying product improvements using operational data. Candidates should be comfortable with APIs, Postman, SQL, AI tools, prompt engineering, debugging, QA, and ambiguous, fast-paced environments.

Owns product strategy and roadmaps for finance and account-management squads, covering payments, billing, invoicing, reconciliation, account lifecycle, identity, fraud, and risk. Partners cross-functionally to reduce payment costs, grow revenue, improve onboarding, control losses, and deliver measurable outcomes. Authors PRDs, prioritizes initiatives, uses AI and data in product work, and mentors other product managers.

Lead product strategy and execution for AI-native, enterprise workflow and platform products. Define high-impact problems, design reusable platform capabilities, partner with engineering and customers, and measure outcomes to drive adoption and continuous improvement.

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 vision for a core crypto-forensics or transaction-monitoring product. Collaborate with design and engineering to launch user-friendly solutions, gather customer requirements, prioritize improvements, and coordinate sales, marketing, and engineering. Focus on customer discovery, measurable business outcomes, acquisition, engagement, retention, onboarding, activation, and actionable NPS insights.

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 product delivery across multiple client accounts, leading sprint operations, backlog management, release coordination, and cross-functional pod execution. Translate business and client requirements into engineering-ready specifications, collaborate on technical decisions, track delivery metrics, and maintain quality standards. Build AI-driven workflows and automation to improve operations. Manage client relationships, communicate proactively, negotiate scope and priorities, and identify expansion opportunities.

Drive strategy, execution, and delivery for an automotive voice assistant. Responsibilities include shaping the product roadmap through customer feedback and user data, defining and testing features with engineering and design teams, documenting requirements, creating prototypes, and monitoring AI and LLM developments to guide product enhancements.

Own product strategy and execution for Loan Origination System modules in a SaaS fintech platform. Responsibilities include roadmap planning, requirements definition, cross-functional collaboration, partner-bank engagement, regulatory compliance, product adoption, and continuous optimization. The role focuses on scalable lending infrastructure for banks and NBFCs across retail, SME, and digital lending use cases.

Own lending product roadmaps across application, eligibility, disbursal, repayment, and collections. Translate RBI regulations, KYC, and risk requirements into product specifications; partner with engineering, design, compliance, credit, and lending institutions to launch features. Analyze funnels, cohorts, and conversion metrics, run A/B tests, improve user experiences, manage partner relationships, and present product insights to leadership.

Lead product strategy and end-to-end application experience for enterprise legal workflows. Design conversational/AI-driven workflows, ensure trust and explainability, enable search and retrieval, drive user-AI collaboration, and support secure enterprise deployment and adoption while defining KPIs and delivering scaled usage.

Own the end-to-end CodeRabbit Management Console: organization settings, RBAC and custom roles, billing and subscriptions, onboarding, and activation. Define APIs, UI flows, data models, and audit trails; partner with Engineering, Design, Finance, Growth and Sales to ensure lifecycle correctness, enterprise purchasing support, and secure, scalable multi-tenant configuration experiences that enable upmarket growth.