About the company
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, uniting human teams with AI agents.
Responsibilities
- Own the shared-foundations program: maintain the view of components multiple feature teams need (agent handoff, identity, context, memory, governance) and drive a single accountable owner, clear roles, and decision dates
- Drive cross-team decisions to closure: frame decisions that unblock architecture, sequence product, UX, and engineering inputs, 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 with versioned templates, reference implementations, and docs
- Report on platform scorecard: define metrics capturing ecosystem leverage, adoption, quality, and team velocity; set baselines and targets, secure instrumentation
- Reduce duplication: identify capabilities built in multiple places and drive consolidation/unification
- Partner on governance: work with security, identity, audit, and legal teams on responsible AI requirements
- Communicate clearly: write decision-first updates tailored to leaders and stakeholders
Requirements
- 2-4 years of technical program management on platform, infrastructure, or developer-experience programs spanning many teams and timezones
- Fluency in LLM & agent systems: orchestration, tool use, MCP, memory, context, evals
- Experience defining platform or developer metrics: baselines, targets, instrumentation, adoption measures
- 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
- Fluency in English required
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
Conditions
- Hybrid schedule in Bangalore office