or apply directly on MongoDB's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 66 days MongoDB's roles stay open a median of 66 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 0% of MongoDB's roles list one
- Ghost-job risk at MongoDB
- high 337 stale, 7 reposted of 411 open
- Hiring momentum
- 575 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from MongoDB's own greenhouse board since 2026-08-03. Full hiring picture for MongoDB.
About this role
In this role, you will be responsible for building and maintaining the tooling and evaluation systems for MongoDB's agent skills. Your day-to-day tasks will involve designing evaluation datasets, creating command-line tools, integrating workflows into CI systems, and collaborating with various teams to ensure the quality and safety of agent-generated content.
- benefits
- 5/5
- freshness
- 1/5
- 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 MongoDB as an employer.
What you need
- 2+ years of experience building production software, developer tools, internal platforms, or automation systems
- Software engineering fundamentals in API design, testing, error handling, and maintainability
- Experience building CLIs, libraries, test infrastructure, static analysis, or CI/CD workflows
- Ability to design systems that are usable by developers and reliable in automation
- Experience reasoning about correctness and safety with ambiguous input, nondeterministic output, false positives, or untrusted content
- Comfort in an evolving R&D environment where the right abstraction emerges through prototypes and feedback
Nice to have
- Experience with agentic systems, LLM applications, prompt or rubric-based evaluation, or AI-assisted development
- Experience building eval harnesses, benchmark datasets, quality metrics, LLM-as-judge workflows, or human-review tooling
- Experience with Go, Python, JavaScript/TypeScript, Java, or C#
- Experience with GitHub Actions security, secret handling, static rule engines, or policy enforcement
- Experience moving prototypes into production
What you get
- equity
- participation in the employee stock purchase program
- flexible paid time off
- 20 weeks fully-paid gender-neutral parental leave
- fertility and adoption assistance
- 401(k) plan
Worth weighing
- no specific mention of the tech stack beyond general tools and languages
- role involves working in an evolving R&D environment, which may lead to ambiguity
- the salary range is broad and dependent on various factors, which may affect negotiation
Summarised from MongoDB's posting. Read the full original.
Listed by MongoDB on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
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