Forward Deployment Engineer
J
JobgetherFintech Security
Based in the United StatesFull-TimeMiddle
Salary$150,000–$170,000 USD
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Job Details
- Required Skills
- PostgreSQLPythonSQLETLJavascriptMySQLTypeScriptRESTful APIs
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.
Responsibilities
- 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.
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