Hiring: Engineering Manager II, Agent Runtime Company: Box Location: Redwood City, CA Job Posted Time: 2026-09-15 12:56:25 Employment Type: Hybrid Target Skills & Keywords : LLM, React About the job Experience: •7+ years of software or ML engineering experience and have maintained strong technical fundamentals — you are comfortable with distributed systems, ML systems, and can roll up your sleeves and contribute code when the team needs it. •2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers, and you lead from the front rather than from a distance. Required Skills: •Lead and grow a six-person hybrid team of software engineers and ML engineers building and operating Box's agent runtime platform. •Own the onboarding of internal tenant teams onto the agent runtime, partnering closely with PMs and engineering managers across multiple product organizations to support their agent deployments. •Strategically drive technical architecture of the agent runtime service, including the context retrieval layer, ensuring reliability, scalability, and quality. •Champion an eval-driven development culture — define evaluation frameworks, run agent quality assessments, and use data to guide the team's technical direction. •Manage and coordinate the team's on-call rotation to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions and deliver an enterprise grade platform. •Present weekly plans, progress, and demos to VP-level leadership, maintaining high visibility and accountability for the team's execution. •Contribute directly to technical solutions — including code — when the team needs it, modeling the player-coach approach that defines this team's culture. Qualifications: •We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. •You bring 7+ years of software or ML engineering experience and have maintained strong technical fundamentals — you are comfortable with distributed systems, ML systems, and can roll up your sleeves and contribute code when the team needs it. •You have 2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers, and you lead from the front rather than from a distance. •You have hands-on experience with AI agents or LLM-based systems — you can speak fluently about agent architectures (ReAct, planner-based, or similar), evaluation methodologies (recall, precision, NDCG, LLM-as-judge), and the real-world challenges of deploying customer-facing agents in production at scale •You thrive in ambiguous, fast-moving environments where priorities shift with the industry — you adapt quickly, keep the team focused, and deliver customer value even when the plan changes. •You are a natural cross-functional collaborator who has worked with multiple teams outside your own org — partnering with product managers and engineering leaders across different organizations is where you do some of your best work. •Operational familiarity with LangGraph or other agent harness frameworks (e.g., DSPy, AutoGen) is a plus, though equivalent experience with other agent architectures is equally valued. •Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!