
Concourse
AI Agents for corporate finance teams
What Concourse does
Concourse is building AI agents for corporate finance teams. Concourse works alongside finances teams to assist in day-to-day operations by taking on the most manual and time consuming work. Core to the platform is an AI analyst tailor-built for finance teams that is available at any hour of the day, accessible via natural language, and built with full connectivity to a company’s existing financial systems. Concourse enables team members to more effectively retrieve and analyze data, generate charts and reports, and answer ad-hoc questions.
3 open roles
What the role involves
Concourse Forward Deployed Engineer (Finance) New York, NY Concourse is building AI agents for corporate finance teams. We have been building at the intersection of finance and AI for the last 2 years and have grown significantly since our launch a few months ago. Concourse customers now include public companies as well as high-growth startups from Persona, Instabase, Lightmatter, and more. Concourse is backed by top-tier Silicon Valley Investors Andreessen Horowitz, CRV, Box Group, YC. As growth continues to accelerate, we're seeking an exceptional Forward Deployed Systems Analyst to own customer activation, expansion, and relationships in the finance domain. This role combines strategic product thinking with hands-on technical execution and is our first non-engineering role at Concourse. The Role This is a high-impact product role where you'll own the entire customer growth engine for finance teams. You'll be the architect of customer success, combining deep finance domain expertise with analytical rigor to drive activation, expansion, and retention. You'll work directly with our founders, engineering team, and work on solving complex technical problems that directly impact our customers and drive their success. This role is designed for systems and business analysts that are looking to move their career forward and into customer-facing and AI first responsibilities. You will be in the trenches with customers, debugging AI outputs and prompts, architecting data solutions, and building the frameworks that turn finance teams into power users of AI. You will use this knowledge to help inform the product roadmap and work with the entire team to continue creating customer success. We’re looking for folks who have worked with/on strategic finance teams and data teams and who want to own large relationships and parts of our product. It’s one of the most important jobs we’ve started to hire to date. Key Responsibilities Product Strategy & Execution Own the customer growth product roadmap - from onboarding flows to advanced analytics features Design and optimize the customer journey to drive faster activation and deeper product adoption Build scalable frameworks for customer segmentation, health scoring, and expansion opportunities Partner closely with engineering to prioritize features that drive measurable growth outcomes Technical Problem Solving & Data Science Debug and resolve complex AI outputs (Python, SQL, and more), data integration issues, and system connectivity problems Architect solutions for ERPs, banks, CRMs, HRIS systems, and custom database integrations Build and maintain sophisticated prompt libraries and AI model configurations for finance use cases Collaborate with engineering teams to optimize query performance and data pipeline reliability Customer Relationships & Growth Develop advanced analytics to understand customer behavior, usage patterns, and expansion signals Build predictive models to identify at-risk accounts and high-potential growth opportunities Create comprehensive reporting dashboards for customer health, feature adoption, and revenue metrics Conduct deep-dive analyses to inform product strategy and customer success tactics About You Finance Domain Mastery 2+ years in strategic finance, or finance operations with deep systems expertise Expert-level understanding of financial statements, accounting, and finance operations Extensive experience with enterprise finance systems (NetSuite, Sage Intacct, Oracle, SAP, Salesforce, etc.) Track record of optimizing finance workflows and implementing system improvements Advanced Technical & Analytical Skills Highly proficient in SQL - can write complex queries, optimize performance, and debug integration issues Strong experience with Python, R, or similar for data analysis and automation Proven collaboration with data engineering and analytics teams on large-scale projects Familiarity with business intelligence tools (Tableau, Looker, PowerBI), dat
What the role involves
Concourse Founding AI & ML Engineer New York, NY Concourse builds AI agents for corporate finance teams. Companies connect core data sources from data warehouses, ERPs, payroll, billing, and more into Concourse, where our AI agents can analyze data and deliver insights in seconds. Our AI agents can be prompted through natural language and can return analyses, forecasts, and reports, boosting the finance team’s productivity by up to 10x. Purpose-built for finance, Concourse agents offer auditability, memory, and presentation-ready output, helping teams cut manual work by 75% while generating 6x more insights. At its core, Concourse is reimagining how companies interact with financial data. Traditional finance tools haven’t changed in decades, teams still rely on fragmented point solutions and static spreadsheets. Our mission is not only to automate routine tasks but to transform decision-making by giving finance teams a deeper understanding and generating net-new insights into business performance. Since launching less than a year ago, Concourse has grown rapidly. Our AI agents are deployed across 50+ customers, including unicorn startups (Persona, Front, Lightmatter) and large public companies (including a Fortune 500). Concourse is a Y Combinator company backed by Andreessen Horowitz, CRV, and 50+ angel investors from companies like Brex, Rippling, Flywire, and DoorDash. The Role We’re actively hiring for a Founding AI Engineer to assist & lead the engineering efforts of our AI agents. We’re looking for someone who is extremely passionate about AI and its potential to fundamentally change the way work is done across the enterprise. We work with large customers + large amounts of data, so a passion for building production grade agents with best-in-class performance is important to be successful in this role. We’re looking for someone who is excited about the prospect of joining a lean & high-powered team and tackling the problem space head-on. The right candidate will have a combination of high ownership mentality, infectious energy, and technical expertise to move the company and engineering organization forward. Key Responsibilities Build, maintain, and scale infrastructure capable of processing hundreds of thousands of queries and SQL responses per month related to calls to LLMs and ensure the accuracy of the output and response rate Fine-tune our models through code and prompt engineering to create the best outputs from different LLMs Work with backend integrations to key finance data sources (ERPs, banks, CRMs, HRIS, internal databases) and related data models to ensure data accuracy of our agents and response outputs Experiment and evaluate with the latest models and technological advances in AI to improve response rates & augment functionality for our product & customers. Test new tools and techniques and help create industry-leading expertise & a cutting-edge stack Embrace and own large parts of the product and engineering responsibilities. Own the projects and outcomes, and have a significant ownership mentality to every project you work on to drive meaningful outcomes Work directly with the entire team and engineers and play a key role in building out the team and company culture Our tech stack: AI: Python/FastAPI LLMs: OpenAI / Anthropic / Gemini / Grok Frontend: React Backend: AWS, Typescript/NodeJS, PostgreSQL About You Passion & Experience building with LLMs. We are still in the early innings of AI adoption and the deployment of AI agents into the enterprise. You have experience building software products with a key focus on building with LLMs and specifically have pushed AI agents in production. Ideally you are doing this every day but you may have hacked together your own LLM based projects for fun, or are deeply passionate about the space. We’re all in on AI and want you to bring that same passion for the technology and its potential application within finance. You also have experience in prompt
What the role involves
Concourse Technical Product Manager - Strategic Finance New York, NY Concourse is building AI agents for corporate finance teams. We have been building at the intersection of finance and AI for the last 2 years and have grown significantly since our launch a few months ago. Concourse customers now include public companies as well as high-growth startups from Persona, Instabase, Lightmatter, and more. Concourse is backed by top-tier Silicon Valley Investors Andreessen Horowitz, CRV, Box Group, YC. As growth continues to accelerate, we're seeking an exceptional Growth Product Manager to own customer activation, expansion, and relationships in the finance domain. This role combines strategic product thinking with hands-on technical execution and is our first non-engineering role at Concourse. The Role This is a high-impact product role where you'll own the entire customer growth engine for finance teams. You'll be the architect of customer success, combining deep finance domain expertise with analytical rigor to drive activation, expansion, and retention. You'll work directly with our founders, technical team, and work on solving complex technical problems that directly impact our customers and drive their success. This isn't traditional product management - you'll be in the trenches with customers, debugging AI outputs, architecting data solutions, and building the frameworks that turn finance teams into power users of AI. You will use this knowledge to help inform the product roadmap and work with the entire team to continue creating customer success. Key Responsibilities Product Strategy & Execution Own the customer growth product roadmap - from onboarding flows to advanced analytics features Design and optimize the customer journey to drive faster activation and deeper product adoption Build scalable frameworks for customer segmentation, health scoring, and expansion opportunities Partner closely with engineering to prioritize features that drive measurable growth outcomes Technical Problem Solving & Data Science Debug and resolve complex AI outputs (Python, SQL, and more), data integration issues, and system connectivity problems Architect solutions for ERPs, banks, CRMs, HRIS systems, and custom database integrations Build and maintain sophisticated prompt libraries and AI model configurations for finance use cases Collaborate with engineering teams to optimize query performance and data pipeline reliability Customer Relationships & Growth Develop advanced analytics to understand customer behavior, usage patterns, and expansion signals Build predictive models to identify at-risk accounts and high-potential growth opportunities Create comprehensive reporting dashboards for customer health, feature adoption, and revenue metrics Conduct deep-dive analyses to inform product strategy and customer success tactics About You Finance Domain Mastery 2+ years in strategic finance, or finance operations with deep systems expertise Expert-level understanding of financial statements, accounting, and finance operations Extensive experience with enterprise finance systems (NetSuite, Sage Intacct, Oracle, SAP, Salesforce, etc.) Track record of optimizing finance workflows and implementing system improvements Advanced Technical & Analytical Skills Highly proficient in SQL - can write complex queries, optimize performance, and debug integration issues Strong experience with Python, R, or similar for data analysis and automation Proven collaboration with data engineering and analytics teams on large-scale projects Familiarity with business intelligence tools (Tableau, Looker, PowerBI), data warehouses (Snowflake, BigQuery, Postgres) and data modeling Product & Growth Startup Mindset Strong analytical framework for measuring and optimizing success metrics Ability to translate customer feedback into product requirements and feature prioritization Track record of building 0-1 processes and scaling them efficiently Entrepreneurial min
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.