The AI Platform Manager will lead AI capability adoption, partner with business leaders for AI strategies, and oversee implementation of AI-driven internal initiatives to enhance operational performance.
Overview
We are seeking an internally focused AI Platform Manager to lead the enablement and adoption of AI capabilities across our business functions. This role is responsible for deeply understanding leading platforms like OpenAI and Google Cloud AI, identifying opportunities for internal transformation, and partnering with business leaders to design and deliver AI-driven solutions that accelerate operational excellence.
Key Responsibilities
Requirements
Nice to Have
We are seeking an internally focused AI Platform Manager to lead the enablement and adoption of AI capabilities across our business functions. This role is responsible for deeply understanding leading platforms like OpenAI and Google Cloud AI, identifying opportunities for internal transformation, and partnering with business leaders to design and deliver AI-driven solutions that accelerate operational excellence.
Key Responsibilities
- AI Platform Ownership & Expertise
- Serve as the internal expert on AI platforms like OpenAI and Google Vertex AI.
- Continuously monitor the AI platform landscape, track product evolution, and assess capabilities aligned with internal use cases.
- Business Partnership & Strategy Enablement
- Partner with leaders across Sales, Finance, Support, Marketing, HR, and other departments to define high-leverage AI strategies.
- Facilitate ideation and opportunity framing sessions to push functional leaders toward ambitious, AI-enhanced transformation.
- Use Case Identification & Portfolio Management
- Identify, prioritize, and support the implementation of a portfolio of AI-driven internal initiatives.
- Develop evaluation frameworks to score opportunities based on business impact, feasibility, and urgency.
- Metrics & Performance Insight
- Identify operational and functional areas where AI can drive measurable efficiency improvements.
- Collaborate with business and data stakeholders to define appropriate KPIs and success metrics.
- Translate AI opportunities into data-driven frameworks, defining key data sets and measurement logic.
- Partner with data engineering teams to design and deliver the analytical reporting layer.
- Create feedback loops and performance dashboards to continuously monitor and improve impact.
- Execution & Delivery Support
- Work with cross-functional teams (engineering, data science, automation, IT) to scope, design, and deliver solutions.
- Provide hands-on program management support to ensure successful execution of AI initiatives.
- Evangelism & Enablement
- Educate business units on the possibilities of AI platforms through demos, documentation, and workshops.
- Create internal playbooks and tooling to help teams self-serve on AI where appropriate
Requirements
- 4+ years in product management, business transformation, or operations roles with exposure to AI/ML technologies
- Strong working knowledge of platforms such as OpenAI, Google Vertex AI, or similar
- Ability to translate business needs into high-impact AI use cases
- Experience collaborating with cross-functional business and technical teams
- Strategic thinking with hands-on program or project management skills
- Excellent communication, stakeholder management, and presentation abilities
Nice to Have
- Background in enterprise applications, workflow automation, or internal IT systems
- Experience leading internal centers of excellence or digital transformation programs
Top Skills
AI
Data Engineering
Google Cloud Ai
Google Vertex Ai
Ml
Openai
Rapid7 Pune, Mahārāshtra, IND Office
Pune, India
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