AI Deployment Strategist
Posted 5 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 1–3 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
About Concourse
Concourse builds AI agents for corporate finance teams.
We connect core enterprise data sources and deploy AI agents that can analyze the data through natural language, deliver insights in seconds, and enable our customers to make better decisions. Since launching less than a year ago, Concourse has grown extremely rapidly. Our AI agents are deployed across hundreds of high-growth companies, unicorn startups like Persona, Front, Lightmatter, and large public companies - including multiple Fortune 500 customers.
Concourse is backed by Andreessen Horowitz, CRV, YC, Standard Capital, and 50+ angel investors from companies like OpenAI, Cursor, Vercel, Brex, Carta, Rippling, 1Password, Deel, Jeeves, and DoorDash.
About the Role
We're hiring an AI Deployment Strategist to build and deploy AI agents for our customers, working alongside our CTO and forward deployed engineering team.
Your mission is to scale the impact of our AI agents across every finance team we serve. You’ll work directly with customers to understand their workflows, design product experiences that increase adoption, and build systems that ensure Concourse becomes core to their financial operations.
You'll work closely with our founders and engineers to work directly on deployments and learn how these systems work from the inside. You'll think strategically about what unlocks customer value, prioritize use cases, and build out agent workflows. Your work will directly shape how we grow to thousands of customers and define how finance teams interact with AI & agents.
This is a high-impact role for someone who has a strong understanding of finance, problem solving, and thrives at the intersection of product, data, and customer outcomes.
Key Responsibilities
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Build agents for customers: Design, configure, and tune AI agent workflows against each customer's data, systems, and reporting conventions, and iterate these outputs with finance teams.
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Optimize AI & Prompt Performance: Maintain prompt libraries, tune model configurations, and ensure high-quality outputs for finance use cases.
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Identify and prioritize use cases: Sit with finance teams to map their recurring workflows, then judge which are highest-value, most repeatable, and best suited to an agent.
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Run deployments with the forward deployed engineering team: Scope, build, and launch deployments, aligning on business goals and ensuring quick time-to-value.