San Francisco, CAremote

Salary
$140,000–$180,000from the description
Posted
Jul 5, 2026
Location
San Francisco, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior operations management role focused on deploying AI-driven procurement solutions to enterprise customers. The position involves leading a mixed team of full-time employees and contractors, owning the end-to-end delivery pipeline, evaluating data and integration partners for production readiness, and building the internal processes and tooling needed to scale output quality. It suits someone with a background in running operational teams against measurable adoption and throughput goals, with enough technical grounding to assess AI and data quality independently.

Senior level · Remote · Full-time

Must have (2)
LLM evaluationdata partner evaluation
Nice to have (1)
automation tooling

We read this from the posting text with AI. Skim the description below before ruling yourself out.

Why we read it this way (7)

The compensation figure is stated as '$140,000–$180,000 OTE', suggesting a variable/bonus component, though the split between base and variable is not disclosed.

SOC classification is a judgement call: the role is primarily a people-management and operational leadership position (managing FTEs and contractors, owning a delivery function), which points to 11-3021. However, it also involves hands-on technical evaluation of AI/LLM systems and data partners, which could lean toward 15-1299. 11-3021 was chosen because team leadership, scaling, and operational ownership are the dominant day-to-day responsibilities.

No specific named technologies or platforms are required beyond LLM evaluation frameworks and data partner tooling; the JD emphasises operational and commercial judgment over deep engineering skills. Skills listed reflect the concrete functional capabilities the JD gates on rather than named products.

No minimum total years of experience is explicitly stated in the posting.

The caller has designated this role as fully remote; no metro is inferred.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML quality assessment, QA process design, delivery pipeline management.

Caller marked this a fully-remote role — scored against the national candidate pool.

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