MP
$380,000 – $460,000
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 leads measurement and strategy for developer productivity at an AI-first company, investigating how AI tools actually change the speed and efficiency of engineering work. It suits someone who combines strong technical data skills with the ability to ask hard questions about causality in a fast-moving space where the metrics themselves are still being invented.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
What they ask for
Required
- Production-quality SQL and Python for independent pipeline and model development
- Experience defining ambiguous questions in data or analytics roles rather than only measuring pre-defined success metrics
- Demonstrated ability to revise conclusions based on evidence rather than defend prior positions
- Track record of influencing product or engineering decisions before they are made, not only after
- Comfort presenting data conclusions to engineers that contradict expectations or hypotheses
- Genuine interest in how AI changes software development practices
Nice to have
- 8+ years of hands-on data science experience in infrastructure, performance, or platform work
- Direct experience measuring developer productivity, developer experience, or internal tooling
- Experience measuring adoption or impact of AI-assisted workflows where ground truth was unclear
- Track record of building an experimentation or causal-inference practice from scratch
- Prior staff-level or tech-lead scope owning data strategy end-to-end