
Job Description
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.
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
At Salient, we’re building at the edge of AI - fast, focused, and with real ownership. Sprints and major launches move quickly, and we look for people who are energized by that pace and ready to collaborate in person 4 days a week in our San Francisco office with a start time of 8:00 AM.
We also offer a benefits package designed to support our full-time employees: medical, dental, and vision coverage, a generous 401(k), and catered lunches.
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Job Details
- Category
- Aerospace Engineering
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $170,000 - $235,000 per year
About Salient
Salient Predictions is an AI-driven firm that merges machine learning, climate science, and oceanography to generate weather forecasts. Their approach delivers twice the accuracy compared to typical forecasts and handles billions of data predictors to generate insights via APIs, interactive maps, and decision tools.
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