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. We are: - Backed by a16z and Y Combinator, with $75M raised in Series A funding - Cash flow positive and profitable, with mid eight figure ARR achieved in under two years - Already serving more than 20% of the auto lending industry - Processing millions of real customer calls and transactions every day - Fully deployed in production with major financial institutions - Actively expanding into new financial services segments - Building together in person in San Francisco We are deeply integrated with our customers, own the full technology stack, and move quickly to bring modern AI into regulated industries where precision, reliability, and performance matter. We are hiring an AI Deployment Lead to own the post-sales lifecycle for some of our largest customers. This is not a traditional CSM role. Our customers run Salient agents inside compliance-critical, regulator-facing workflows. They need someone who can manage the relationship, understand the system, read the evidence, and form a real technical judgment when something goes wrong. You will own adoption, account health, retention, renewal readiness, and expansion. You will also be the first line of investigation for your accounts: reading transcripts, audit logs, configuration, prompts, evals, and integration data to understand what happened and why. When the issue is prompt- or configuration-level, you will fix it yourself. When it requires deeper engineering work, you will escalate with a clear diagnosis and the customer context needed to move fast. 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 - Turn customer feedback into structured product signal, prioritized by severity, account impact, and repeatability - Run clean handoffs from Implementation into steady-state account ownership - 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. What matters is that you can earn trust with senior customers, reason through technical problems, and operate with real ownership. You should have: - 4+ years in a customer-facing post-sales, implementation, solutions, consulting, banking, or similarly rigorous analytical role - Hands-on experience with LLMs, prompts, evals, or agentic workflows - Strong foundational understanding of LLM and agent concepts, including context, tool use, failure modes, and eval methodology - Comfort reading API docs and understanding concepts like webhooks, integrations, data mapping, and data pipelines - 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 in fintech, banking, insurance, lending, collections, servicing, or another…