Back
Mid-level AI product role in Bengaluru with broad PM appeal increases applicant competition.
Requires AI platform and governance expertise, limiting cross-industry transferability.
Explicit 4+ years plus mandatory ML/AI platform and governance experience increases screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the roadmap and targets for document/data extraction accuracy including major build-vs-improve decisions in collaboration with ML/engineering.
Define and manage AI agent runtime product requirements, including governance features like audit trails, explainability, human escalation, policy enforcement, and tenant isolation to ensure safe AI-driven actions.
Develop and maintain a self-serve platform interface enabling other product teams to use AI extraction and agent features independently without creating bottlenecks.
4+ years in product management with experience owning a platform, API, or infrastructure-facing product used by internal teams, beyond customer-facing feature work.
Direct experience shipping ML/AI-backed products where trust and accuracy were core product aspects, including defining precision/recall metrics and enforcing them
Working fluency in AI governance concepts: audit trails, explainability, human-in-the-loop design, policy enforcement, tenant/data isolation, having shipped at least one of these.
Ability to manage a roadmap with genuine uncertainty, communicate it honestly, and prioritize with senior autonomy without relying on detailed specs.
Experienced in owning and building platform-level AI or ML products that serve multiple internal teams rather than just end users or customer features.
Familiar with AI governance needs in regulated or compliance-sensitive environments, with a clear understanding of safe and auditable AI action execution.
Skilled in defining clear accuracy targets and tracking them via metrics dashboards, with a data-driven approach to product improvements and decisions.