Forward Deployment Engineer

Accountabilities
Lead end-to-end customer implementations, including technical discovery, integration planning, configuration, testing, and successful deployment. Design and build customer data integrations using APIs, batch ingestion processes, ETL workflows, and data transformation techniques. Analyze complex and imperfect customer datasets, creating reliable mappings and workflows that support fraud and compliance use cases. Develop and optimize fraud and AML detection strategies by translating customer requirements into effective rules, typologies, and investigation workflows. Configure case management processes, including workflows related to investigations, reporting, and compliance requirements. Deploy and improve AI-powered solutions through phased rollouts and human-in-the-loop approaches. Provide ongoing customer support after implementation through platform tuning, troubleshooting, performance improvements, and enablement. Create scripts, automations, reusable tools, and implementation frameworks to improve efficiency and scalability. Collaborate closely with product and engineering teams by sharing customer insights and contributing to platform enhancements. Act as a trusted technical advisor, communicating effectively with both technical teams and executive stakeholders. Requirements Experience in Forward Deployed Engineering, Implementation Engineering, Solutions Engineering, Solutions Architecture, or a similar technical customer-facing role. Background working with SaaS platforms, data platforms, or complex technical products. Strong understanding of REST APIs, ETL/data pipelines, SQL, and relational databases such as PostgreSQL or MySQL. Ability to analyze, transform, and reconcile complex customer data from multiple sources. Proficiency in programming or scripting languages such as Python, JavaScript, or TypeScript for integrations, automation, and tooling. Experience translating unclear business requirements into scalable technical solutions. Ability to independently manage complex technical challenges from discovery through resolution. Strong communication skills with the ability to collaborate with engineers, business teams, compliance stakeholders, and executives. Experience working in financial services, fintech, crypto, fraud prevention, or compliance technology is a plus. Knowledge of financial crime prevention, AML, KYC, BSA requirements, SAR/CTR processes, sanctions screening, or fraud detection methodologies is highly valued. Familiarity with AI systems, LLMs, or AI agent workflows is a plus. Benefits Competitive annual base salary ranging from $150,000–$170,000 USD . Pre-IPO equity opportunities. Fully remote work environment within eligible U.S. states. 100% company-paid medical, dental, and vision insurance for employees. Unlimited paid time off and generous leave programs. 401(k) retirement plan. Learning and development stipend. Home office setup support. High-ownership culture focused on innovation, collaboration, professional growth, and meaningful impact.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1