Senior Manager, AI Operations
$140,000–$180,000 year
HybridSan Francisco, California, United States
Job Summary
Drive adoption of Zip's AI solutions across the customer base to automate workflows and secure long-term revenue in partnership with Customer Success. Own the end-to-end data and integration partnership evaluation program, running coverage, reliability, and accuracy assessments to decide production integrations and hold partners to ongoing quality standards. Ensure platform capability reliability by setting clear standards, testing processes, and release requirements, while growing and leading the delivery team to scale capacity and maintain consistent output. Own throughput across the delivery pipeline from planning through deployment and performance analytics, developing internal tools to automate repetitive QA and reporting tasks. Partner daily with Engineering, Product, and Customer Success to resolve blockers and surface risks before escalation.
Required Qualifications
- A track record of owning an operational function with accountability for adoption, quality, and throughput, measured on outcomes rather than activity
- Experience growing and scaling a delivery team through systems, process, and coaching, with a focus on lifting output quality as the team expands
- Enough technical fluency to judge AI quality, read an LLM evaluation framework, and assess a data partner's coverage and accuracy, without needing an engineer on call
- Strong commercial judgment to own partner evaluations and go/no-go decisions, balancing quality, cost, and strategic value
- Sharp prioritization under competing demands, and the communication discipline to surface risk to leadership before it becomes a problem
Desired Qualifications
- A track record of owning an operational function with accountability for adoption, quality, and throughput, measured on outcomes rather than activity
- Experience growing and scaling a delivery team through systems, process, and coaching, with a focus on lifting output quality as the team expands
- Enough technical fluency to judge AI quality, read an LLM evaluation framework, and assess a data partner's coverage and accuracy, without needing an engineer on call
- Strong commercial judgment to own partner evaluations and go/no-go decisions, balancing quality, cost, and strategic value
- Sharp prioritization under competing demands, and the communication discipline to surface risk to leadership before it becomes a problem
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