AI Deployment Lead
Own post-sales lifecycle and technical triage for strategic accounts running Salient's AI agents in regulated financial workflows. Review logs/prompts/evals to diagnose issues, deploy prompt changes, partner with engineers, and drive adoption, retention, and expansion while maintaining compliance standards.
About the job
Responsibilities
- 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.
Requirements
- 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.
Nice-to-Haves
- Rigorous academic background, especially in a quantitative field.
- History of building and shipping things.
- Outsized responsibility early in career.
- Competitive achievement.
- Clear evidence of intensity, judgment, and follow-through.
Compensation and Benefits
- Salary: $170,000 - $235,000.
- Medical, dental, and vision coverage.
- Generous 401(k).
- Catered lunches.
Skills
LLMs, Prompt Engineering, Evals, Agentic Workflows, Api Documentation, Webhooks, Integrations, Data Mapping, Data Pipelines, Fintech, Compliance
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