Role Description
About Corepass Corepass builds data and intelligence infrastructure for decision-makers navigating complex, fast-moving markets, leveraging 25 years of proprietary data across deals, loans, and markets to drive value creation for both internal and external stakeholders. Our product suite spans Wavus (prospect intelligence), Remy (AI coding agent), and LendingOS (loan origination). We are trusted by lenders, institutional investors, and financial platforms. Our belief is that the right people, given the right tools, should never have to leave opportunity on the table.
About Remy Remy is Corepass's AI coding agent. It searches codebases, edits real files, runs checks and tests, and prepares work for review; all from the desktop app, CLI, or cloud. Remy is built to produce real, working code changes rather than mockups, with a focus on lower context cost, faster task startup, and support for multiple frontier models (e.g. Claude, ChatGPT, Kimi, DeepSeek, GLM).
About the Role We are looking for a Forward Deployed Engineer to sit at the intersection of engineering and customer success for Remy. You will work directly with customer engineering teams to understand their workflows, integrate and configure the product, troubleshoot real issues in their environment, and turn what you learn into product feedback for our engineering team. This is a hands-on, technical role for someone who wants to build alongside customers, not just support them after the fact.
What You'll Do
- Partner directly with engineering teams to onboard and integrate Remy into their codebases and workflows
- Diagnose and resolve technical issues arising from real customer environments, from repo-specific edge cases to CI/test integration problems
- Build custom scripts, configs, and lightweight tooling to help specific customers get more value out of Remy, faster
- Act as the technical voice of the customer, feeding real usage patterns, blockers, and feature requests back to the product and engineering teams
- Run hands-on technical demos and proof-of-concepts for prospective customers evaluating Remy
- Help shape best practices and playbooks for how new customers should roll Remy out across their teams
What We're Looking For
- Strong software engineering background, comfortable reading and reasoning about unfamiliar codebases across multiple languages and frameworks
- Experience with CI/CD, testing frameworks, and modern developer tooling
- Comfortable working directly with customers, explaining technical concepts clearly and troubleshooting live
- Self-directed, able to own a problem end to end
- Prior experience in a customer-facing technical role (solutions engineering, forward deployed engineering, technical customer success) is a plus, but not required if you have the engineering chops and the right mindset
- Familiarity with AI coding tools or LLM-based developer products is a plus
Why Join You'd be one of the earliest technical hires shaping how real companies adopt AI coding agents into their engineering workflows. This is a high impact role with direct influence on both the product roadmap and how the FDE function itself gets built at Corepass.
Pay: $140,000.00 - $200,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
Work Location: In person
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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