Senior Product Manager · Bengaluru

Key Responsibilities:

1. Product Strategy & Vision

• Define and evolve the product vision, positioning, and long-term roadmap for the Cogentiq platform.

• Identify market opportunities and emerging trends in Agentic AI, LLMOps, multi-agent systems, and AI orchestration

• Translate strategy into actionable product plans, ensuring alignment with Fractal’s enterprise AI ecosystem.

2. Platform Architecture & Capabilities

• Work closely with engineering and AI research teams to define platform requirements across: Multi-agent orchestration; Memory, planning, tool-use, reasoning engines; Observability, governance, safety & guardrails; API layer, SDKs, connectors, cloud deployment models

• Prioritize platform capabilities with an eye on scalability, reusability, enterprise compliance and extensibility.

3. Product Execution & Delivery

• Own end-to-end product lifecycle: requirements, specifications, acceptance criteria, release management and documentation.

• Build detailed Product Requirement Documents (PRDs) and work with design on workflows, UX and developer experience.

• Manage sprints and work closely with engineering leads to deliver high-quality releases on schedule.

4. Cross-Functional Leadership

• Partner with Sales, Client Solutions, and GTM teams to shape offerings, demos and client value propositions.

• Enable field teams with product knowledge, positioning and market insights.

• Collaborate with customer teams to design proof-of-concepts, pilots and enterprise deployments using Cogentiq.

5. Client & Market Engagement

• Conduct customer discovery to identify pain points in automation, AI orchestration, MLOps and agentic workflows.

• Collect feedback from enterprise clients, internal teams and industry forums to drive continuous product evolution.

• Represent Cogentiq in client conversations, workshops and industry events.

6. Governance, Safety & Compliance

• Ensure Cogentiq adheres to responsible AI, safety protocols, auditability, observability and compliance frameworks.

• Work with security and cloud teams to maintain standards across identity, permissions, data governance, and enterprise controls.

Required Qualifications

• 10 to 15 years of experience in product management, preferably in AI platform products or enterprise AI solutions.

• Strong background in Generative AI, LLMs, agentic AI architectures, ML platforms or data/AI infrastructure products.

• Proven experience defining roadmaps, writing PRDs and delivering complex technical products.

• Excellent understanding of cloud ecosystems (Azure, AWS, GCP), API products and AI governance principles.

• Ability to work with engineering and research teams to convert high-level concepts into detailed product requirements.

• Strong stakeholder management and communication skills; ability to influence across teams.

• Experience in agile environments with fast-paced, iterative delivery cycles.

• Technical degree (Engineering/Computer Science) along with MBA.

• Very strong communication skill.

Preferred Qualifications

• Prior experience with agentic systems, multi-agent frameworks, workflow automation platforms or developer platforms.

• Understanding of LLMOps, model evaluation, observability, vector/semantic retrieval and tool-use frameworks.

• Exposure to enterprise clients in domains such as BFSI, Healthcare, CPG, Retail or Technology.