{"schemaVersion":"jobsearcher.job.v1","id":"c46f9b0fb92abfd8a9950320","url":"https://jobsearcher.com/jobs/c46f9b0fb92abfd8a9950320","canonicalUrl":"https://jobsearcher.com/jobs/c46f9b0fb92abfd8a9950320","title":"Engineering Manager II, Agent Runtime","description":"Overview\nIn this role you lead the Agent Runtime platform team, shaping how Box deploys and operates AI agents at scale. You’ll partner with product and engineering leaders to onboard internal teams, drive reliable and scalable architecture, and guide evaluation-driven development. You’ll operate as a player-coach, contribute code when needed, and present plans to VP-level stakeholders. This role sits at the core of Box’s AI-first strategy, turning agent-powered products into an enterprise-grade platform that unlocks rapid, cross-functional value.\n\nResponsibilitiesLead a six-person hybrid software and ML engineering team building and operating the agent runtime platformOwn onboarding of internal tenant teams onto the agent runtime in collaboration with PMs and engineering managersShape the technical architecture of the agent runtime service, including the context retrieval layer, for reliability and scalabilityChampion an evaluation-driven development culture with frameworks and metrics guiding technical directionManage on-call rotation and lead on-call incidents, driving improvements to minimize disruptionsPresent weekly plans, progress, and demos to VP-level leadershipContribute to technical solutions, including code, in a hands-on, player-coach capacity\nKey requirements7+ years of software or ML engineering experience2+ years of engineering management experience leading hybrid teamsHands-on experience with AI agents or LLM-based systemsKnowledge of agent architectures (ReAct, planner-based, or similar) and evaluation methodologiesExperience deploying customer-facing agents at production scaleCross-functional collaboration with product managers and engineers across orgsFamiliarity with agent harness frameworks (LangGraph, Dspy, AutoGen) is a plusgrowth mindsetcross-functional collaborationleadership by exampledistributed systemsML systemsAI agents/LLMs","company":"Box","rawCompany":"box","city":"San Mateo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:03:23.006Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager II, Agent Runtime","description":"Overview\nIn this role you lead the Agent Runtime platform team, shaping how Box deploys and operates AI agents at scale. You’ll partner with product and engineering leaders to onboard internal teams, drive reliable and scalable architecture, and guide evaluation-driven development. You’ll operate as a player-coach, contribute code when needed, and present plans to VP-level stakeholders. This role sits at the core of Box’s AI-first strategy, turning agent-powered products into an enterprise-grade platform that unlocks rapid, cross-functional value.\n\nResponsibilitiesLead a six-person hybrid software and ML engineering team building and operating the agent runtime platformOwn onboarding of internal tenant teams onto the agent runtime in collaboration with PMs and engineering managersShape the technical architecture of the agent runtime service, including the context retrieval layer, for reliability and scalabilityChampion an evaluation-driven development culture with frameworks and metrics guiding technical directionManage on-call rotation and lead on-call incidents, driving improvements to minimize disruptionsPresent weekly plans, progress, and demos to VP-level leadershipContribute to technical solutions, including code, in a hands-on, player-coach capacity\nKey requirements7+ years of software or ML engineering experience2+ years of engineering management experience leading hybrid teamsHands-on experience with AI agents or LLM-based systemsKnowledge of agent architectures (ReAct, planner-based, or similar) and evaluation methodologiesExperience deploying customer-facing agents at production scaleCross-functional collaboration with product managers and engineers across orgsFamiliarity with agent harness frameworks (LangGraph, Dspy, AutoGen) is a plusgrowth mindsetcross-functional collaborationleadership by exampledistributed systemsML systemsAI agents/LLMs","datePosted":"2026-09-15T04:03:23.006Z","dateModified":"2026-09-15T04:03:23.006Z","hiringOrganization":{"@type":"Organization","name":"Box","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c46f9b0fb92abfd8a9950320"},"url":"https://jobsearcher.com/jobs/c46f9b0fb92abfd8a9950320"}}