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GeneralMind in Bengaluru is seeking a Senior Product Manager who operates at the intersection of enterprise operations, AI systems, and platform product strategy. You will work with customers, founders, and engineering to understand ERP systems, supply chain workflows, approvals, and fragmented processes.
This role emphasizes identifying reusable platform capabilities, deciding what becomes platform vs customer-specific, and guiding AI-enabled workflow automation.
GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics.
Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments.
We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows.
We are looking for a Senior Product Manager who can operate at the intersection of enterprise operations, AI systems, and platform product strategy.
You will work closely with customers, founders, and engineering teams to understand how large enterprises actually operate: ERP systems, supply chain workflows, approvals, exceptions, emails, spreadsheets, and fragmented operational processes.
This is not a traditional roadmap-management role. A core part of the job is identifying the reusable platform hidden underneath customer‑specific operational problems. You will help determine what becomes a platform capability and what stays customer‑specific, where configuration ends and engineering begins, where AI can reliably automate workflows, and where humans should remain in the loop.
We are highly execution‑focused and operate with a high degree of ownership and intensity. This is an on‑site role in Bangalore - we believe the speed, collaboration, and product iteration we want are best achieved in person.
Product development at GeneralMind is deeply AI‑native: we expect product leaders to actively use AI tools across research, prototyping, analysis, workflow design, specification writing, customer synthesis, and operational problem solving. The goal is not to replace product judgment but to dramatically increase leverage and iteration speed.
This environment works well for people who: