Senior AI Product Manager

As a Senior AI Product Manager at Purposive, your role will involve leading the strategy, development, and execution of AI-powered products and platforms. You will collaborate closely with engineering, data science, business, and leadership teams to create scalable AI solutions that address real-world business challenges and deliver tangible results. Key Responsibilities: - Define and execute AI product strategy in alignment with the company's vision - Identify market opportunities for AI-driven solutions - Develop product roadmaps and long-term AI innovation plans - Work with leadership to establish product direction and priorities AI Product Development: - Lead the end-to-end AI product lifecycle from ideation to launch - Collaborate with data scientists, AI engineers, and developers - Translate business requirements into AI product features - Define use cases, user stories, and product specifications - Ensure AI models are scalable, reliable, and production-ready Market & Customer Understanding: - Conduct market research and competitive analysis - Identify enterprise AI use cases across industries - Understand customer pain points and propose intelligent solutions - Collaborate closely with sales and customer success teams Cross-Functional Collaboration: - Coordinate with engineering, AI/ML teams, UI/UX, and business teams - Align stakeholders across product, operations, and leadership - Collaborate with partners and technology vendors - Drive product adoption and market positioning Data & AI Governance: - Ensure ethical AI practices and responsible AI usage - Define AI model performance metrics and KPIs - Monitor product performance and continuously optimize - Ensure compliance with data security and privacy standards Required Skills: - Product Management: Product lifecycle management, Roadmap planning, Agile & Scrum, User story creation, Market & competitor analysis - AI & Technology: AI/ML concepts, NLP, Computer Vision, Generative AI, LLMs & AI platforms, Data analytics, API-based AI integrations - Business & Strategy: Analytical & strategic thinking, Enterprise product development, Stakeholder management, Problem-solving, Communication & leadership - Technical Exposure: Python basics, AI/ML platforms, LLMs & Generative AI, Cloud platforms (AWS, Azure, GCP), Data platforms & APIs Qualifications: - Bachelor's degree in Engineering, Computer Science, Business, or related field - MBA or AI/Product Management certification is a plus - 3+ years experience in product management - Experience working with AI/ML or SaaS products - Experience in startup or enterprise environment preferred KPIs & Success Metrics: - AI product adoption - Product revenue growth - Customer satisfaction - AI model performance - Product delivery timelines - Market expansion - Innovation and new product launches If you join Purposive, you will have the opportunity to work on cutting-edge AI products, build scalable enterprise solutions, gain high ownership and leadership exposure, experience a fast-growing AI-driven environment, and get global market exposure. Reporting To: Head of AI / Chief Product Officer / CTO Apply: Send your resume to careers@purposive.in with the subject line: AI PM Application As a Senior AI Product Manager at Purposive, your role will involve leading the strategy, development, and execution of AI-powered products and platforms. You will collaborate closely with engineering, data science, business, and leadership teams to create scalable AI solutions that address real-world business challenges and deliver tangible results. Key Responsibilities: - Define and execute AI product strategy in alignment with the company's vision - Identify market opportunities for AI-driven solutions - Develop product roadmaps and long-term AI innovation plans - Work with leadership to establish product direction and priorities AI Product Development: - Lead the end-to-end AI product lifecycle from ideation to launch - Collaborate with data scientists, AI engineers, and developers - Translate business requirements into AI product features - Define use cases, user stories, and product specifications - Ensure AI models are scalable, reliable, and production-ready Market & Customer Understanding: - Conduct market research and competitive analysis - Identify enterprise AI use cases across industries - Understand customer pain points and propose intelligent solutions - Collaborate closely with sales and customer success teams Cross-Functional Collaboration: - Coordinate with engineering, AI/ML teams, UI/UX, and business teams - Align stakeholders across product, operations, and leadership - Collaborate with partners and technology vendors - Drive product adoption and market positioning Data & AI Governance: - Ensure ethical AI practices and responsible AI usage - Define AI model performance metrics and KPIs - Monitor product performance and continuously optimize - Ensure compliance with data security and privacy standard