Applied AI Engineer, Small Market Growth & Revenue Systems

Foley is hiring an Applied AI Engineer to build and scale AI-driven revenue systems within our Small Market segment. This role sits at the intersection of AI, growth, and revenue execution—designing systems that convert inbound demand into measurable revenue outcomes.

You will work directly with Growth, Sales, and RevOps to build production-grade systems that automate, augment, or replace traditional sales workflows. This is a builder role focused on shipping real systems, not strategy or coordination.

WHAT YOU’LL DO

- Build AI-driven revenue systems that capture, qualify, and convert inbound demand into measurable revenue

- Design self-service and e-commerce experiences using AI to guide customers from interest to purchase

- Automate and augment sales workflows, reducing manual effort and accelerating deal velocity

- Develop multi-channel engagement systems across email, SMS, and web that adapt to user behavior in real time

- Own measurement and optimization, using data and AI to continuously improve conversion and funnel performance

- Partner cross-functionally with Growth, Sales, and RevOps to build scalable, production-ready systems

WHO YOU ARE

- Demonstrated ability to build and ship real systems (portfolio, GitHub, or deployed work)

- Strong proficiency in Python (APIs, automation, data workflows)

- Experience building with LLMs or AI systems (agents, RAG, workflows, etc.)

- Ability to translate business and revenue problems into technical solutions

- Strong communication skills with technical and non-technical stakeholders

NICE-TO-HAVES

- Experience with CRM or marketing automation platforms (e.g., HubSpot, Salesforce)

- Experience building lead scoring, routing, or conversion systems

- Background in growth, marketing, sales, or RevOps environments

- Familiarity with AI orchestration frameworks (e.g., LangChain, LangGraph, CrewAI)

- Experience with telemetry, observability, or performance tracking systems

Location: T...