Forward Deployment Engineer

This is a fully remote position, open to applicants in United States, +16 more locations.

📋 Description

• Take full ownership of each implementation from the initial conversation to the go-live phase, encompassing the project plan, timeline, and communication with both business and technical stakeholders of the customer.

• Design data integrations for customers utilizing real-time APIs, batch files, or extracts from core banking systems.

• Map data schemas, conduct historical backfills, and ensure the delivery of clean, validated production data.

• Develop, test, and refine fraud prevention and Anti-Money Laundering (AML) programs from start to finish.

• Configure rules, perform customer screenings, assess risk ratings, set up AI agents, and manage case workflows.

• Provide training to customer teams and transition live customers to the Customer Success team.

• Convert project insights into repeatable playbooks.

• Identify cross-customer trends and share them with Product and Engineering teams.

⛳️ Requirements

• Over 5 years of experience in implementation, solutions engineering, solutions architecture, technical consulting, or forward-deployed engineering for a B2B SaaS product, preferably within fintech, regtech, or financial crime sectors.

• Proficient in working with REST APIs and Postman, SQL and relational databases, ETL pipelines, and at least one programming language (such as Python, JavaScript/TypeScript, or similar).

• Capable of designing an end-to-end integration and troubleshooting issues as they arise.

• Skilled in mapping customer file layouts or schemas, identifying missing data, and effectively communicating necessary changes to technical teams.

• Experience with core banking data from providers like FIS, Fiserv, or Jack Henry is an advantage.

• Ability to interpret fraud and Bank Secrecy Act (BSA) patterns into detection rules and validate them against actual data.

• Experienced in configuring or constructing workflows or agents based on Large Language Models (LLMs), drafting instructions, testing outputs, and evaluating production readiness.

• Competent in managing multiple implementations, adapting to shifting priorities or requirements, and promptly addressing any delays with a recovery strategy.

• Strong communication skills with compliance and data engineering stakeholders.

• Candidates must reside in AZ, CA, CO, GA, ID, IL, KS, MA, MD, NJ, NY, OR, PA, RI, TX, WA, or Canada.

🏝️ Benefits

• Competitive salary and pre-IPO equity.

• Comprehensive medical, dental, and vision insurance fully covered for employees.

• Unlimited Paid Time Off (PTO) along with generous leave policies.

• 401(k) plan available.

• Stipend for learning and development.

• Support for home office setup.

• A high-ownership, collaborative culture emphasizing impact, innovation, and growth.