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Per-PR Cost Ledger + Agent-Policy Metadata — Day 1 substrate for safe agent deployment across the Product.ai repos

Build the two artifacts a backend platform should ship before opening agent deployment to the team: (1) per-module agent-policy metadata declaring agent-allowed / agent-allowed-with-mock / agent-forbidden across each Product.ai backend repo, and (2) a per-PR cost ledger as a GitHub Actions workflow that tags every agent-authored PR with token spend, model breakdown, and a running running-30-day cost rollup per repo.

STEP 1 — APPLY

Apply: Per-PR Cost Ledger + Agent-Policy Metadata — Day 1 substrate for safe agent deployment across the Product.ai repos

Submit your details below. After this step you'll record a short video questionnaire.

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A piece of writing or analysis that shows how you think — process doc, system design, deep research. PDF, DOC, or DOCX · max 50MB.

FIT & LOGISTICS

Most of our roles are on-site or hybrid in Santa Monica. We need your own answers here — please don't rely on what's on your LinkedIn.

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I'm in LA (on-site / hybrid in Santa Monica works) I'm open to relocating to LA Hybrid with travel (I can fly in regularly) I need fully remote

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After submitting, you'll be taken to the Hireflix video questionnaire.

If you encounter any issues submitting your application, please reach out to hiring@product.ai.

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Agent View · application/ld+json

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