MP
$500,000 – $850,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds the infrastructure that powers human feedback collection and data pipelines for training Claude, managing everything from annotator interfaces to backend services that deliver data to researchers. It suits senior full-stack engineers comfortable owning complex systems end-to-end and working closely with research teams whose needs evolve rapidly.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Full-stack engineering with production TypeScript/React and Python experience
- Design and operate backend services and data pipelines other teams depend on
- Own projects end-to-end from ambiguous requirements to production
- Work directly with technical stakeholders whose needs change frequently
- Use AI tools effectively in your own work
- Care about the societal impacts of your work
Nice to have
- Experience building annotation, labeling, or evaluation tooling
- Experience with RLHF or human-feedback pipelines for ML systems
- Track record shipping researcher-facing internal tools people love
- Experience running experiments on data collection interfaces to improve quality
- Experience with crowdworker or expert vendor platforms at scale
- Familiarity with how LLMs are trained and evaluated