AI Deployment Lead

Set2recruit LTD; Texas; Sur place; USD 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Dental Insurance

Vision Insurance

401(k) retirement plan

Catered lunches

Résumé du poste

Set2recruit LTD is seeking an AI Deployment Lead to manage a portfolio of strategic enterprise customers. You will ensure AI agents perform effectively within regulated environments, balancing regulatory needs with business outcomes.

You will build senior-level relationships, investigate issues, and collaborate with engineering teams to adjust prompts, configurations, and agent logic as required. This role emphasizes hands-on problem solving and strategic account management.

Qualifications

• At least 4 years in a customer-facing technical/implementation/consulting role.
• Experience with large language models, prompt engineering or agent-based workflows.
• Understanding of AI agent operation, context management, and tool usage.
• Ability to read API docs, data pipelines and integration points.
• Comfortable discussing system architecture and troubleshooting with engineers.

Responsabilités

• Own strategic enterprise relationships, monitor adoption and renewals.
• Conduct technical investigations with transcripts, logs, and configurations.
• Identify data quality, integration or workflow issues and resolve them.
• Develop and test prompt and logic improvements for changing processes.
• Collaborate with engineers on complex integrations and data pipelines.
• Translate customer feedback into actionable insights for Product.
• Ensure smooth transition from implementation to ongoing management.
• Set expectations with stakeholders and ensure technical viability.

Connaissances

Customer-facing skills

Technical curiosity

Independent problem-solving

Stakeholder management

Analytical judgement

Prompt engineering

Formation

Bachelor's degree or equivalent

Outils

APIs & integrations

LLMs & prompt evaluation

Description du poste

We’re partnering with a high-growth AI company transforming how financial services organisations operate. By developing advanced AI agents for complex, regulated environments, the business is helping banks, lenders and other financial institutions automate critical processes while maintaining the accuracy, oversight and reliability their industries demand.

The company is already making a significant impact across the financial services sector, with impressive commercial traction and a rapidly growing customer base.

Why consider this opportunity?

• Exceptional backing: Supported by leading investors, including Andreessen Horowitz (a16z) and Y Combinator, with $75M in Series A funding raised.
• Proven commercial success: Achieved profitability and positive cash flow, reaching mid-eight-figure annual recurring revenue in less than two years.
• Established market presence: Technology already deployed across a significant proportion of the US automotive lending market.
• Real-world AI at scale: Supporting millions of customer interactions and transactions every day.
• Enterprise adoption: Live deployments with major financial institutions, with further expansion into new financial services markets underway.
• Collaborative environment: A highly driven team working together in person from San Francisco.

This is an opportunity to join a business moving AI beyond experimentation and into business-critical production environments, where the technology is already delivering measurable results.

The role

We’re looking for an AI Deployment Lead to take ownership of the ongoing success of a portfolio of strategic enterprise customers.

This position sits at the intersection of customer success, technical problem-solving and AI deployment. It goes well beyond traditional account management: you’ll be responsible for ensuring AI agents perform effectively within complex customer workflows, particularly where regulatory obligations, operational accuracy and customer outcomes are critical.

You’ll build trusted relationships with senior stakeholders while developing a detailed understanding of how the technology operates in practice. When an issue arises, you’ll investigate the underlying evidence, identify the cause and determine the right course of action.

be empowered to make hands-on adjustments to prompts, configurations and agent logic where appropriate, working alongside specialist engineering teams when more complex technical changes are required.

Alongside the technical responsibilities, you’ll own account health, adoption, retention, renewals and opportunities to grow existing customer relationships.

What you’ll be responsible for

• Strategic account ownership: Manage relationships with key enterprise customers, monitoring adoption, account performance, renewal prospects and opportunities for further growth.
• Technical investigation: Analyse conversation transcripts, system logs, prompt configurations, evaluation results and integration data to understand agent performance and explain findings to customer stakeholders.
• Issue resolution: Identify and investigate problems relating to data quality, integrations, workflow configuration, agent behaviour, customer expectations and potential product defects.
• AI optimisation: Develop, test and implement prompt and logic improvements to reflect changing business processes, customer requirements and regulatory expectations.
• Cross-functional delivery: Collaborate with Forward Deployed Engineers on integrations, data pipelines, bespoke workflows and more complex technical challenges.
• Customer-to-product feedback: Translate recurring issues and customer requests into clear, actionable insights for Product, prioritising according to business impact, severity and wider applicability.
• Customer transitions: Ensure a smooth transition from initial implementation into ongoing account management and optimisation.
• Stakeholder management: Set clear expectations, challenge unrealistic requests where necessary and ensure proposed solutions are technically viable and appropriate for regulated environments.

What we’re looking for

We’re interested in people who combine strong customer-facing skills with genuine technical curiosity and the ability to work through complex problems independently.

Your background could include technical account management, technical customer success, solutions engineering, implementation, consulting, banking or another analytical, client-facing environment.

You should bring:

• At least 4 years of relevant professional experience in a customer-facing technical, implementation, consulting, banking or similarly analytical role.
• Practical experience working with large language models (LLMs), prompt engineering, AI evaluations or agent-based workflows.
• A solid understanding of how AI agents operate, including context management, tool usage, common failure modes and methods for evaluating performance.
• The ability to navigate API documentation and understand integrations, webhooks, data mapping and data pipelines.
• Sufficient technical depth to discuss system architecture, troubleshooting and failure analysis with engineering teams.
• Strong analytical judgement and the confidence to investigate ambiguous problems in high-stakes customer environments.
• Experience engaging senior stakeholders across operational, compliance, product, engineering and commercial functions.
• The confidence to challenge requests or commitments when they conflict with technical limitations, product capabilities or regulatory requirements.

Experience that would be particularly valuable

• Background in financial services, fintech, banking, lending, insurance, collections or loan servicing.
• Familiarity with US financial services regulation and compliance frameworks, including CFPB expectations, Regulation F, UDAAP and audit requirements.
• Experience managing large, complex enterprise accounts, particularly relationships generating $1M+ in annual recurring revenue.

The type of person who will thrive

This business values capability, initiative and demonstrated achievement over pedigree alone.

We’re looking for people who have taken ownership early in their careers, built or delivered meaningful projects, demonstrated strong analytical ability or achieved exceptional results in demanding environments.

You should be comfortable operating with autonomy, moving quickly and taking responsibility for outcomes rather than simply passing problems to someone else.

The interview process will assess practical prompt-writing ability, AI evaluation methodology and technical decision-making. Candidates should be prepared to demonstrate these skills, regardless of their previous job title or academic background.

How success will be measured

Your performance will be assessed against a combination of customer, commercial and technical outcomes, including:

• Customer retention and net revenue retention across your portfolio.
• Revenue growth and qualified expansion opportunities.
• Customer adoption, engagement and overall account health.
• The quality and accuracy of technical investigations and issue resolution.
• Effective escalation of complex engineering issues, supported by clear analysis and relevant evidence.
• The quality of insights and recommendations provided to the Product team.

Benefits include:

• Medical, dental and vision insurance.
• A generous 401(k) retirement plan.
• Catered lunches.

Interested?

If you’re excited by the opportunity to work hands-on with advanced AI technology, solve challenging customer problems and help shape how AI is deployed across regulated financial services, we’d be keen to hear from you.