Opendoor interview prep. 1 reported question.

Demonstrated experience owning indirect procurement and commercial-contract decisions from intake through signature in a fast-moving environment.

Experience across multiple contract types and a working command of commercial terms, including payment terms, renewals, usage-based pricing, limitation of liability, indemnification, data protection/DPAs, IP ownership, SLAs, service credits, and termination rights.

A track record of negotiating meaningful commercial improvements, managing cost and renewal exposure, and making sound risk tradeoffs.

You have designed and shipped an AI agent or automated workflow that other people actually use.

We will ask you to walk through it in detail: what you built, where you placed human approval gates, what you iterated on, and what broke.

You can take an ambiguous problem, define the decision that needs to be made, determine what the available data can and cannot support, test competing explanations, and recommend a practical next action without waiting for someone else to structure the problem.

Strong Python skills, with experience building maintainable software and contributing to production ML systems.

Experience taking predictive models from problem definition and training through deployment, evaluation, and iteration, with a strong foundation in classification and statistical modeling.

Applied experience in causal inference and experimental design, including estimating incremental effects and reasoning about confounding, selection bias, and uncertainty.