Product Manager

Comviva; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Comviva, Bengaluru, is seeking an experienced product leader to own the MobiLytix AIx roadmap, focusing on predictive/prescriptive model lifecycle and agent orchestration. You will define requirements for real-time scoring, governance and explainability, collaborating with data scientists and engineers in a global enterprise setting.

The role emphasizes translating AI concepts into structured product requirements, establishing governance, and driving multi-step decision workflows across

Qualifications

• 8+ years of product management experience in AI, ML, optimisation, orchestration or decision-driven SaaS platforms.
• Strong conceptual understanding of predictive and prescriptive modelling, optimisation systems and autonomous agent frameworks.
• Experience defining enterprise-grade model lifecycle, governance and monitoring capabilities.
• Experience defining product requirements for configuration interfaces and runtime execution engines.
• Experience with real-time model scoring, deployment patterns and decision-driven product capabilities.
• Experience translating AI and optimisation concepts into structured product requirements.

Responsibilities

• Define and own the product roadmap for MobiLytix AIx across model lifecycle and agent capabilities.
• Define requirements for real-time model scoring infrastructure and edge execution.
• Establish model registry, versioning and deployment governance frameworks.
• Define model health monitoring, drift detection and optimisation feedback loops.
• Define explainability artefacts and performance visibility for predictive and prescriptive models.
• Translate business AI use cases into reusable agent templates and orchestration patterns.
• Collaborate with data scientists and engineering to translate model infrastructure into scalable implementations.
• Ensure alignment with platform abstraction and extensibility principles.
• Monitor AI advancements and integration into agent execution workflows.

Skills

AI product management

ML

Optimization

Orchestration

Decision-driven SaaS

Product lifecycle

Governance frameworks

Model monitoring

Stakeholder management

Cross-functional teamwork

Job description

• 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.
• Strong 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.
• 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.