AI Deployment Strategist

Concourse•New York, NY

2d•Onsite

About The Position

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. 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.

Requirements

1-3 years in finance, investment banking, consulting, FP&A, finance operations, or data and systems roles supporting finance teams
Deep understanding of financial statements, accounting principles, and how finance teams operate, and the workflows they perform
Experience vibe-coding, passionate about AI and finding opportunities to automate systems
Proficient in SQL, comfortable writing queries for analysis, building and testing eval sets, debugging issues, and working with customer data
Familiarity with BI tools (Looker, Tableau, PowerBI) and data warehouses (Snowflake, BigQuery, Postgres, etc.)
Thrives in fast-paced, ambiguous environments and is able to self-direct, move quickly, and operate with high ownership in a startup setting

Nice To Haves

Experience with finance systems (QBO, Ramp, NetSuite, Intacct, Oracle, SAP, Salesforce, etc.) and relevant finance tasks that pull from these systems (preferred but not required)
Experience with LLMs, prompt engineering, or tuning AI outputs for analytical or operational workflows (preferred but not required)

Responsibilities

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.
Optimize AI & Prompt Performance: Maintain prompt libraries, tune model configurations, and ensure high-quality outputs for finance use cases.
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.
Run deployments with the forward deployed engineering team: Scope, build, and launch deployments, aligning on business goals and ensuring quick time-to-value.
Build Analytics & Insights: Create dashboards and analytics that reveal customer behavior, product usage patterns, and revenue expansion opportunities.
Inform GTM Strategy: Identify patterns across customers to refine positioning, messaging, onboarding playbooks, and expansion strategies.
Design High-Impact Customer Journeys: Optimize onboarding, training, and lifecycle experiences that help finance teams reach first value faster and become long-term power users
Build Customer Health Frameworks: Develop systems for segmentation, health scoring, expansion signals, and proactive account insights.
Architect Finance System Integrations: Work across ERPs, banks, CRMs, HRIS tools, and custom databases to design scalable agent capabilities and prompts