AI Deployment Lead

We are:

• Backed by a16z and Y Combinator, with $75M raised in Series A funding

• Actively expanding into new financial services segments

• Building together in person in San Francisco

We are hiring AI Deployment Leads 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 regulated industry is a strong plus. Familiarity with CFPB expectations, Reg F, UDAAP, auditability, or compliance-heavy workflows is especially valuable.

Experience owning strategic enterprise relationships, especially $1M+ ARR accounts, is also a strong plus.

What stands out

We care less about pedigree and more about evidence that you have operated at a high bar. Strong signals include a rigorous academic background, especially in a quantitative field; a history of building and shipping things; outsized responsibility early in your career; competitive achievement; or clear evidence of intensity, judgment, and follow-through.

We will test for prompt writing, eval thinking, and technical judgment in the interview process. There are no exceptions to that bar, regardless of background.

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