You help a person find and use their own information without losing its source, its meaning, or its privacy. The measure is whether the answer is useful and correctly attributed, which is a different and harder target than embedding similarity.
Open for applications. Starts at: First team.
We are taking applications for this role now and building the pipeline for it. The stage above is when the work itself is expected to begin, which is something you deserve to know before you apply rather than after. It is context, not a gate.
Where
In the office together five days a week, in one of our garages, and remote-friendly around your family, arranged one person at a time. We hire across the United States 🇺🇸, India 🇮🇳 and the UAE 🇦🇪.
The work
Build ingestion, parsing, retrieval, structured memory and provenance across documents and selected services. Preserve permissions at retrieval time and distinguish original records from generated summaries. Handle corrections, conflicting facts and deletion across indexes and caches.
The milestone
In your first 90 days, deliver a personal search workflow with source-linked answers, permission checks and a verified deletion path.
Required
Nice to have
Evidence
Bring information-retrieval, database or ML application experience. Show how you measure answer usefulness and source correctness rather than only embedding similarity.
Evidence, not credentials. We are describing work you can point at, in whatever form it exists.
The exercise
Resolve a question when two documents disagree and only one may be shared with the requesting agent.
The package
Indicative pay ranges by market and level are on the compensation page. Plan numbers are confirmed in your offer letter.
Apply
One short form. A person reads every application and you hear back either way. You will get your own link to check where things stand, and you can withdraw or delete your application from it at any time, without an account.
