Senior Engineering Manager - AI Foundations Team
Core
Lead Internal Agent Experience operations, setting strategy for developer tooling (coding agents, plugins, MCP servers) and non-engineering agents within the SDLC.
Role type
Senior Engineering Manager (AI/Agentic Systems)
Builds
Internal agent ecosystem, developer tooling, and integrations connecting agents to Toast systems.
Domain
AI Infrastructure, Agentic Systems, Developer Tooling
Deliverable
production ML models
Required skills
Software engineering management, distributed systems architecture, LLM-based tooling usage, roadmap strategy for ambiguous tech, cross-functional influence, distributed team leadership, internal platform delivery
Preferred skills
MCP server/agent framework experience, LLM cost management/FinOps, LLM evaluation frameworks, enterprise integrations (Slack, Salesforce), change management for technical tooling
Technologies
LLMs, Coding Agents, MCP Servers, Claude Code, Codex, AI Observability
Responsibilities
Lead distributed engineering teams across time zones, define strategy for internal agent ecosystem, own delivery of agent platform components, drive adoption of AI tools across R&D, establish guardrails for agent usage with Security/Legal/Finance, define and report team metrics, stay hands-on with agentic development practices
Seniority
Senior, hands-on IC with management responsibilities
