Technical Program Manager II - AI Platforms

Overview

Technical Program Manager II for AI Platforms, turning internal AI components and platform foundations into golden paths for Product and Tech teams shipping AI experiences to customers.

What you'll do

• Own the shared-foundations program: maintain the view of components multiple feature teams need (agent handoff, identity, context, memory, governance, and more), with a single accountable owner, clear roles, and decision dates for each, overlaying team roadmaps without replacing them.
• Drive cross-team decisions to closure: frame decisions that unblock architecture, sequence product, UX, and engineering inputs, and run working sessions with named owners and dated action items.
• Scale an innersource model: partner with engineering to establish a contribution-based approach for shared AI components, including versioned templates, reference implementations, and docs that anyone can improve through review, with clear guidelines, release processes, and safe staged rollout.
• Report on the platform scorecard: define metrics capturing ecosystem leverage, adoption, quality, and team velocity, set baselines and targets, secure instrumentation, and bring results into leadership and stakeholder reporting.
• Reduce duplication: identify capabilities built in multiple places, drive consolidation and unification, and track migration plans across teams.
• Partner on governance: work with security, identity, audit, and legal teams to iterate and track responsible AI requirements within the platform.
• Communicate clearly: write decision-first updates tailored to leaders and project stakeholders.

What you'll need

• 2-4 years of technical program management on platform, infrastructure, or developer-experience programs spanning many teams and timezones.
• Fluency in LLM and agent systems: orchestration, tool use, MCP, memory, context, evals.
• Experience defining platform or developer metrics: baselines, targets, instrumentation, and adoption measures.
• Experience making invisible infrastructure work visible to leadership.
• Experience enabling shared components through SDK-style or innersource models, including versioning and release management.
• Proven ability to lead without authority across engineering, product, UX, and security.
• Strong planning discipline: dependency mapping, risk tracking, capacity awareness.
• Excellent written communication, especially decision memos and executive reporting.
• Legally eligible and available to work a hybrid schedule in the BLR office.
• Fluency in English.

Nice to have

• Familiarity with agent interoperability protocols and data platform governance tooling.
• Experience consolidating internal systems and managing build/buy/adopt decisions.
• Familiarity with AI governance, agent identity, auditing, and compliance.
• Experience with Jira, Confluence, GitLab, and work-management tools at scale.

Details

• Location: Bangalore, India (BLR office).
• Work mode: hybrid schedule in the BLR office.