Senior Engineering Manager - AI Foundations Team

Requirements

  • 5+ years of managing software engineering teams with an extensive background in software development
  • Hands-on, daily use of coding harnesses (e.g. Claude Code, Codex) and LLM-based tooling
  • Ability to turn fast-moving, ambiguous technology into a clear roadmap and make prioritization calls with incomplete information
  • Strong communication and influence skills at director and executive levels, including with non-engineering functions
  • Proven track record of delivering internal platforms or developer tooling with measurable adoption
  • Solid technical foundation in building and operating distributed systems or SaaS products
  • Experience leading distributed teams across multiple countries and time zones

Nice to Haves

  • Experience building or operating MCP servers, agent frameworks, or plugin ecosystems
  • Experience with LLM cost management, usage analytics, or FinOps for AI spend
  • Experience building evaluations or quality measurement for LLM-based systems
  • Experience with enterprise integrations such as Slack, Google Workspace, Atlassian, or Salesforce
  • Experience running enablement or change management programs for technical tooling

What You'll Be Doing

  • Leading and growing a distributed engineering team across Ireland and India with an effective operating rhythm across time zones
  • Setting the strategy and roadmap for Toast's internal agent ecosystem including developer tooling and agents used in SDLC processes
  • Owning delivery of internal agent platform components from design through production, including integrations with Toast systems and data
  • Driving adoption across R&D and the broader company by collaborating with product managers on customer research
  • Establishing guardrails for agent usage related to security, legal, and finance, including access controls and AI spend visibility
  • Defining and reporting key team metrics such as adoption, time saved, quality, and cost per outcome to leadership
  • Staying hands-on with the latest agent development practices to guide technical decisions and model team workflows
  • Championing AI tools and practices to accelerate development, improve velocity, and pioneer AI-first engineering methodologies

Perks and Benefits

  • Competitive compensation and benefits programs designed to attract, retain, and motivate top talent
  • Support for a healthy lifestyle with flexibility to meet changing needs
  • Hybrid work model fostering in-person collaboration while valuing individual preferences
  • Commitment to an accessible and inclusive hiring process with reasonable accommodations available
AI Summary ✨

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