AI Deployment Lead

About Us

Salient builds AI agents for regulated financial services. Our agents automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for banks, captives, and specialty lenders. Backed by a16z and Y Combinator, with $75M raised in Series A funding. 8-figure ARR in under 2 years, already serving over 20% of the auto lending industry and processing millions of real customer calls and transactions daily. Fully deployed with major financial institutions, not just PoCs. Actively expanding into new financial services segments. In-person office culture in San Francisco, CA. We're fully integrated with our customers, we own the full stack, and we're moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most. We are hiring an AI Deployment Lead to own the post-sales lifecycle for some of our largest customers.

What you’ll do

• Own the ongoing relationship for a portfolio of strategic accounts, including adoption, health tracking, QBRs, renewals, and expansion
• Review transcripts, audit logs, prompts, evals, and integration data to explain agent behavior to customer compliance, operations, and engineering teams
• Triage issues across data mapping, configuration, prompt behavior, customer training, expectation gaps, and product defects
• Write, test, and deploy prompt and logic changes as customer workflows, business rules, or compliance requirements change
• Partner with Forward Deployed Engineers on integrations, data pipelines, custom workflow logic, and deeper architecture work
• Push back when customer asks, sales commitments, or internal assumptions do not match technical or compliance reality

What we’re looking for

• You might come from technical account management, technical CSM, solutions engineering, implementation, consulting, banking, or another high-rigor customer-facing role.
• Hands-on experience with LLMs, prompts, evals, or agentic workflows
• A strong foundational understanding of LLM and agent concepts, including context, tool use, failure modes, and eval methodology
• Enough technical fluency to discuss architecture and failure modes with customer engineering teams
• Strong judgment in ambiguous, high-stakes customer situations
• Experience working with senior stakeholders across operations, compliance, product, engineering, and commercial teams
• Comfort saying “no” or “not yet” when the ask does not match product, technical, or compliance reality

Experience

• Experience in a customer-facing post-sales, implementation, solutions, consulting, banking, or similarly rigorous analytical role
• 4+ years of experience
• Hands-on experience with LLMs, prompts, evals, or agentic workflows
• Strong foundational understanding of LLM and agent concepts
• Technical fluency in discussing architecture and failure modes with customer engineering teams
• Strong judgment in ambiguous, high-stakes customer situations
• Experience working with senior stakeholders across operations, compliance, product, engineering, and commercial teams
• Comfort saying “no” or “not yet” when the ask does not match product, technical, or compliance reality

Industry

• Fintech, banking, insurance, lending, collections, servicing, or another regulated industry
• Familiarity with CFPB expectations, Reg F, UDAAP, auditability, or compliance-heavy workflows
• Experience owning strategic enterprise relationships, especially $1M+ ARR accounts

How we’ll measure success

• Net revenue retention and gross revenue retention across your book
• Expansion ARR and qualified expansion opportunities surfaced
• Account health and adoption scores
• Accuracy of technical triage, including routing issues correctly without unnecessary escalation
• Quality of structured, actionable feedback reaching Product

Compensation Range

$170K - $235K