AI Product Manager

MetAntz·Bengaluru·Onsite

Senior Product ManagerAIEcommerce

Experience

6–10 years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Bengaluru

Posted

1 week ago

About the role

MetAntz has one of the most advanced GenAI recruitment platforms. We help companies hire faster with an end-to-end product that covers job posting, sourcing, scoring and matching, and AI-driven assessments. We also run a candidate marketplace and a Recruitment as to Service team that fills roles for our customers. In this role you will sell both the platform and the services around it.

Position: AI Product Manager / Product Owner

What you'll do

We are seeking an AI Product Manager to own a customer-facing AI platform used by enterprise customers to build and operate AI-powered capabilities at scale. This role blends platform product management and applied AI, with responsibility for product strategy, execution, and measurable outcomes across quality, reliability, cost, and adoption.
You will work closely with engineering, ML, UX, and customer teams, and are expected to be hands-on with AI systems.
Own the vision, roadmap, and success metrics for the AI platform.
Define core platform capabilities.
Enable customer and internal teams to build AI use cases using scalable platform primitives.
Prototype AI workflows and reference implementations to validate new capabilities.
Define and track KPIs for AI quality, latency, reliability, cost, and adoption.
Embed enterprise-grade guardrails for security, privacy, and safe AI usage.
Influence (not solely own) decisions e.g. model selection, buy vs build, risk trade-offs, etc.
Act as the product interface across engineering, ML, security and go-to-market teams.
Required Experience & Skills
6-10 years of product management experience, with ownership of customer-facing platforms or APIs.

Nice to have

Experience with semantic technologies such as knowledge graphs, ontologies, or semantic data models.
Experience building AI platforms for enterprise customers.
Familiarity with AI governance, compliance, or regulated environments.
Exposure to UX patterns for AI-driven workflows.