Role: AI Product Manager

Location: Gurgaon/Bangalore

Experience: 9-14 years

Key Accountabilities

- Define and own the product roadmap for MobiLytix AIx — predictive and prescriptive model lifecycle capabilities across MobiLytix.
- Define product requirements for real-time model scoring infrastructure and edge-based execution.
- Establish model registry, versioning and deployment governance frameworks.
- Define model health monitoring capabilities including performance tracking, drift detection and optimisation feedback loops.
- Define model-level explainability artefacts and technical performance visibility for predictive and prescriptive models.
- Define and own the product roadmap for design-time and runtime agent capabilities within MobiLytix.
- Establish product requirements for agent authoring tools, workflow builders and reusable agent design patterns.
- Define product capabilities for conversational and low-code agent configuration interfaces.
- Define and own the runtime orchestration engine for multi-step decision workflows.
- Establish decision traceability and execution transparency mechanisms across agent workflows.
- Define guardrails, policy frameworks and governance requirements for autonomous decision execution.
- Translate business AI use cases from Module PMs into reusable agent templates, orchestration patterns and model-backed decision capabilities.
- Define optimisation loops that integrate predictive and prescriptive model outputs into agent execution without owning model development.
- Collaborate with Module PMs to enable predictive, prescriptive and agentic capabilities required for business AI use cases without owning business logic.
- Ensure model and agent capabilities align with platform abstraction and extensibility principles.
- Monitor advancements in AI, autonomous systems, orchestration engines, optimisation tooling and agent development platforms.




- Partner with engineering and data science teams to translate model infrastructure and agent execution requirements into scalable implementation.

Mandatory Skills

- 8+ years of product management experience in AI, ML, optimisation, orchestration or decision-driven SaaS platforms, with demonstrable depth across both model lifecycle and agentic / orchestration capabilities.
- Strong conceptual understanding of predictive and prescriptive modelling, optimisation systems, autonomous agent frameworks and workflow engines.
- Experience defining enterprise-grade model lifecycle, governance and monitoring capabilities.
- Experience defining product requirements for both configuration interfaces and runtime execution engines.
- Experience with real-time model scoring, deployment patterns and decision-driven product capabilities.
- Experience integrating predictive or optimisation model outputs into higher-level decision and orchestration systems.
- Ability to translate AI and optimisation concepts into structured product requirements.
- Solid systems thinking and architectural reasoning capability.
- Experience collaborating closely with data scientists, engineering and cross-functional product teams.
- Strong stakeholder management and cross-functional alignment capability.
- Experience supporting enterprise AI capability discussions.

Desirable Skills

- Experience with next-best-action or next-best-offer modelling frameworks and integration into orchestration workflows.
- Exposure to conversational AI, low-code workflow builders or agent authoring platforms.
- Familiarity with model observability, drift detection, ML monitoring tools and policy enforcement or guardrails in AI systems.
- Exposure to reinforcement learning, optimisation engines, decision intelligence platforms or compute-to-data execution models.
- Experience in decisioning, marketing automation or real-time engagement platforms.
- Experience working in global enterprise SaaS environments.

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