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Box

Engineering Manager II, Agent Runtime

Box · Redwood City, CA, United States

Posted about a month ago

or apply directly on Box's site. We never take the application ourselves.

Is this posting real?

This role has been open
30 days
Box's roles stay open a median of 38 days
Reposted
No
Salary listed
No
0% of Box's roles list one
Ghost-job risk at Box
high
54 stale, 19 reposted of 153 open
Hiring momentum
235 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Box's own greenhouse board since 2026-08-03. Full hiring picture for Box.

About this role

As an Engineering Manager II for the Agent Runtime team at Box, you will lead a team of six engineers focused on building and operating a platform that supports AI agents across Box's product ecosystem. Your role involves overseeing technical architecture, managing team operations, and collaborating with product managers and engineering leaders to ensure successful agent deployments. You will also engage in hands-on coding and present progress to VP-level stakeholders, all while fostering a culture of evaluation-driven development.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Box as an employer.

What you need

  • 7+ years of software or ML engineering experience
  • 2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers
  • Hands-on experience with AI agents or LLM-based systems
  • Strong technical fundamentals in distributed systems and ML systems
  • Ability to contribute code when needed
  • Experience working cross-functionally with product managers and engineering leaders

Nice to have

  • Familiarity with LangGraph or other agent harness frameworks (e.g., DSPy, AutoGen)
  • Experience with agent architectures (ReAct, planner-based, or similar)
  • Knowledge of evaluation methodologies (recall, precision, NDCG, LLM-as-judge)

Worth weighing

  • No specific benefits listed in the posting
  • Role requires in-office work a minimum of 3 days per week
  • Fast-paced and ambiguous work environment may not suit everyone

Summarised from Box's posting. Read the full original.

Listed by Box on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Box

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