Senior Product Manager (B2B Data & AI Platform)

(Note: Candidates with exclusively B2C experience will not be considered for this role.) About the Role We are looking for a highly autonomous Product Manager to lead the strategy, roadmap, and adoption of a next-generation data and AI platform built on AWS. This role sits at the intersection of data engineering, cloud infrastructure, and applied AI. You will own the end-to-end product lifecycle, from defining the vision and roadmap to driving B2B go-to-market execution, sales enablement, and enterprise customer adoption through AWS Marketplace. What You’ll Do - Own the product roadmap: Define and prioritize features across observability, automation, and optimization capabilities. Align the roadmap with B2B customer needs, AWS ecosystem trends, and business goals. - Drive product strategy: Shape the long-term vision for a platform focused on operational intelligence. Identify opportunities to expand into AI-driven automation and agent-based workflows. - Lead product positioning & sales enablement: Create clear product documentation, solution narratives, and high-quality presentations tailored for enterprise prospects. Translate complex technical capabilities into customer-facing value. - Own AWS Marketplace presence: Drive listing strategy, packaging, and pricing. Partner with AWS teams to increase visibility and co-sell opportunities. - Manage client engagement & cross-functional delivery: Interface directly with enterprise clients, manage expectations, and operate in a hybrid capacity (balancing internal product leadership with billable, client-facing delivery). Collaborate closely with engineering, data, and cloud teams. - Drive adoption and usage: Define success metrics, track product performance, gather customer feedback, and iterate quickly to improve retention. What We’re Looking For - Experience: 7 to 10 years of overall professional experience in product management. - B2B Focus: A strict minimum of 5+ years of Business-to-Business (B2B) product management experience. - Technical Background: Strong understanding of modern data stacks (data warehouses, lakehouses, pipelines) and AWS services (such as Redshift, S3, and analytics tooling). Proven experience building or managing AI/ML-driven products or intelligent automation is highly preferred. - Location: Must be based in India. - Execution: Proven ability to operate highly autonomously, taking products from concept to launch and scaling enterprise adoption without requiring heavy executive oversight. - Communication: Exceptional executive communication skills, able to seamlessly bridge technical concepts and business value for enterprise clients. Nice to Have - Experience with observability, monitoring, or AIOps. - Experience working with AWS Marketplace or cloud marketplaces. - Experience with usage-based pricing or cloud-native product models. - Background in data engineering or solutions architecture.