Lead Product Manager- AI

Opentext

7 - 11 years

20 - 25 Lacs

hyderabad

Posted:-1 days ago| Platform:

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Skills Required

product management a2a langgraph langchain mcp

Work Mode

Hybrid

Job Type

Full Time

Job Description

Lead Product Manager, Model Services and AI Engineering (Hybrid)

The AI Engineering and Enablement organization delivers OpenTexts core AI capabilities, including the model services layer that supports search, summarization, automation, and generative features across our product portfolio
We build the infrastructure, tooling, and governance frameworks that enable scalable, cost efficient, and safe use of large language models in the enterprise

Your Impact:

You will own the strategy and roadmap for OpenTexts Model Services platform. This includes model selection, tuning, optimization, evaluation, routing, cost and performance management, and lifecycle operations. This is a technical platform product role focused on delivering reliable, governed, and reusable large language model capabilities for all engineering teams.
You will work closely with engineering and architecture to evolve the model gateway, tuning pipelines, safety mechanisms, and ModelOps frameworks. You will also support integration with secondary components such as retrieval augmented generation, agentic frameworks, and internal developer tooling.

What the role offers:

Define strategy and roadmaps for Model Services, including the model gateway, routing, tuning, evaluation, and lifecycle management.
Translate technical and architectural patterns into reusable platform capabilities.
Lead planning and launch of model infrastructure components with engineering partners.
Balance cost, performance, safety, and developer experience in product decisions.
Conduct market and competitive research on commercial and open source models, runtimes, and tuning methods.
Support downstream integrations into retrieval augmented generation, agentic systems, and internal tooling where needed.

What you need to succeed:

8 or more years in product management or platform leadership, including three or more years in AI, ML, or ModelOps.
Strong understanding of large language model operations, including selection, inference optimization, routing, tuning, evaluation, and safety.
Experience with model lifecycle management, telemetry, benchmarking, and capacity and cost planning.
Familiarity, preferred but secondary, with generative AI frameworks or enterprise governance patterns such as LangChain, LangGraph, MCP, or A2A.
Demonstrated success shipping enterprise platform or developer facing products. Ability to translate complex technical requirements into clear product decisions and actionable
roadmaps.
Bachelors or Masters degree in Computer Science, Engineering, or a related technical discipline.

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