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IndiaMART - Senior Product Manager

IndiaMARTNoida
Full-timeSenior
👁️ 0 views📝 0 applicationsPosted 8/17/2026Expires 9/17/2026
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Job Description

: Role & responsibilities: - 1. Roadmap Ownership: Define and own the roadmap for chatbot and voice flows, aligned with organisational goals automation %, conversion uplift, engagement depth. - 2. AI Integration: Collaborate with the AI Core Pod to define model requirements (intents, entities, confidence thresholds, fallback logic) and integrate base models into production. - 3. Buyer Pod Partnership: Partner with the Buyer Pod to automate inbound and outbound buyer chats (discovery, RFQ, purchase assistance), set hypotheses, run experiments, and iterate quickly. - 4. Seller Pod Collaboration: Work with the Seller Pod to identify automation opportunities (onboarding, verifications, reminders) and drive those journeys end-to-end. - 5. Performance Metrics: Collaborate with the Eval & Quality Pod to define success metrics (First Contact Resolution, fallback-to-human %, CSAT, automation rate) and build live performance dashboards. - 6. Governance & Compliance: Work with the Governance Layer to ensure compliance, privacy, and responsible AI use through human-in-loop fallback mechanisms. - 7. Growth Strategy: Partner with the Growth Manager to drive adoption through user training, experience improvements, and scaled rollout. - 8. Product Delivery: Write clear PRDs, user stories, and acceptance criteria; ensure timely, high-quality delivery through collaboration with engineering and design. - 9. Analytics & Optimization: Monitor analytics, define KPIs, run A/B tests, and optimise for speed, accuracy, and user satisfaction. - 10. Internal Evangelism: Evangelise the chatbot internally and externally build awareness, alignment, and excitement across teams. Preferred candidate profile: - 1. Experience: 4-8 years of product management experience, with strong exposure to conversational AI, chatbots, or voice assistants. - 2. Domain Expertise: Deep understanding of LLMs, conversational, NLP design (no coding required, but must be fluent in the domain). - 3. Data-Driven Mindset: Data-driven and experimental you are comfortable drawing insights from logs, defining metrics, and running iterative experiments. - 4. Collaboration: Excellent collaboration and communication skills across engineering, design, AI/ML, operations, and business teams. - 5. Adaptability: Comfortable in fast-moving, high-impact environments with end-to-end ownership. - 6. Methodology: Experience in Agile product development methodologies. - 7. Innovation: Passionate about innovation, automation, and delivering delightful user experiences.

Required Skills

AgileCommunicationKPI ManagementMachine LearningNLPOnboardingProduct Management

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