Careers

Help build the black box for AI agents.

We are hiring people who can move carefully across developer tooling, data infrastructure, applied security, machine learning, and enterprise evidence systems.

Open role

Data Engineer

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Build the evidence data plane: event normalization, custody exports, indexing, storage profiles, and verification-friendly datasets.

Why us

  • Work on a new category at the intersection of developer infrastructure, security, audit, and insurance.
  • Own the data systems that turn raw agent activity into evidence buyers, auditors, and underwriters can trust.
  • Ship close to production with a small team and a high bar for correctness.

What you will do

  • Design pipelines for observable agent events, payload hashes, custody metadata, and verifier exports.
  • Build storage and indexing paths for encrypted evidence, redacted previews, and admin search surfaces.
  • Improve data quality checks across local bundles, remote checkpoints, and hosted or BYO S3 custody.
Open role

ML Engineer

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Work on agent-event classification, anomaly signals, risk features, and evaluation systems for observable autonomous-agent behavior.

Why us

  • Apply ML to real operational traces instead of synthetic demos or generic observability dashboards.
  • Shape the risk signals that make autonomous-agent behavior understandable, reviewable, and eventually underwritable.
  • Collaborate directly with engineering, security, and go-to-market on product-critical models.

What you will do

  • Develop classifiers for tool use, risky commands, policy decisions, boundary crossings, and run-level behavior.
  • Build evaluation datasets and feedback loops from observable evidence without claiming private model thought capture.
  • Create anomaly and risk features that help admins triage runs and partners reason about exposure.