Revenue Systems AI Architect

New York, NY; Salt Lake City, UT; San Francisco, CA$136,000 - $170,0005+ years

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

Overview

Flex is on a mission to give renters flexibility over their most significant recurring expense — and our go-to-market engine is central to making that happen at scale. The Revenue AI Engineer is a senior individual contributor who owns the AI-powered systems and data infrastructure that keeps our revenue teams operating at their highest potential. This is a high-autonomy role with direct impact on pipeline generation, customer retention, and the operational efficiency of our Sales, BD, and Customer Success organizations.

About the Role

Operating at the intersection of RevOps and AI engineering, you will embed with Go-To-Market (GTM) teams to design and ship the automation and agent infrastructure that drives leverage. Rather than advising, you will build and iterate in production to scale Flex's revenue motion.

Success involves replacing manual tasks with high-judgment work that closes deals and retains customers. As a builder and cross-functional partner, you will collaborate with Sales, RevOps, and the central AI team to ensure AI adoption delivers measurable business results.

What You'll Do

Co-owns revenue team's AI initiative roadmap — planning, prioritizing, and measuring the success of AI programs against pipeline generation, efficiency, and retention outcomes
Design and deploy AI-powered workflows, automation agents, and outbound prospecting systems that reduce manual lift for Sales, BDR, and Partner Success teams
Configure and manage MCP infrastructure and AI agent tooling across the GTM org, ensuring systems are discoverable, actively adopted, and continuously improving
Integrate and maintain Flex's GTM tech stack — Salesforce, Clay, Snowflake, Outreach, and adjacent platforms — so data flows between systems without manual intervention
Enforce data governance standards across revenue systems, ensuring AI models and agents are built on clean, trustworthy, well-documented data foundations
Build and maintain a shared library of AI skills, prompts, and agent context (including Claude Code–built skills and plugins) that the broader revenue team can access and reuse
Partner with Enablement to champion AI adoption across the revenue org — translating technical work into business outcomes, tracking adoption, and representing GTM use cases to Flex's central AI function

What You'll Bring

5+ years of experience in Revenue Operations, Sales Operations, or GTM Systems in a high-growth SaaS or FinTech environment, with a trajectory into technical or AI-focused work
Hands-on experience deploying and iterating AI-powered workflows, automations, or agents in a live B2B revenue environment — shipping and maintaining production systems, not just scoping or advising
Deep working knowledge of the revenue tech stack, including Salesforce, Clay, Snowflake, Outreach, or equivalent platforms — with strong command of how data moves between them
Proficiency with Claude Code and/or Codex for workflow automation, prompt design, and agentic task orchestration, including the ability to build, version, and maintain shareable skills and plugins
Hands-on experience configuring MCP (Model Context Protocol) infrastructure and integrating AI agent frameworks into live GTM workflows
Strong command of APIs, system integrations, and connected app architecture — you understand where data breaks across platforms and how to design integrations that hold at scale
Demonstrated expertise in data governance principles — you've built or enforced practices that keep revenue data clean, trustworthy, and AI-ready
Strong cross-functional communication skills, with the ability to translate technical systems and outcomes for non-technical stakeholders from ICs to C-suite

Compensation

Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) and Tier 3 (Salt Lake City) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.

Tier 1 (NYC/Bay Area)

$136,000—$170,000 USD

Tier 3 (Salt Lake City)

$115,600—$144,500 USD

Life at Flex

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

Offices

Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

Benefits

For full-time U.S. employees we offer: