Forward Deployment Engineer
New
J
JobgetherFinancial crime
Fully remote position, currently open to candidates located in Arizona, California, Colorado, Georgia, Idaho, Illinois, Kansas, Massachusetts, Maryland, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Washington, or Canada.Full-TimeSenior
SalaryBase salary: $135,000–$160,000 per year, with the higher end dependent on experience and banking industry knowledge. Variable compensation: $15,000–$20,000, paid quarterly and based on agreed-upon projects and Net Revenue Retention (NRR). Equity: Pre-IPO equity opportunity. Dedicated stipend to support ongoing professional development.
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Job Details
- Experience
- At least 5 years of experience in implementation, solutions engineering, solutions architecture, technical consulting, or forward-deployed engineering for a B2B SaaS product.
- Required Skills
- PythonSQLJavascriptTypeScriptRESTful APIsPostman
Requirements
- At least 5 years of experience in implementation, solutions engineering, solutions architecture, technical consulting, or forward-deployed engineering for a B2B SaaS product.
- Technical proficiency with REST APIs, Postman, SQL, relational databases, ETL pipelines, and at least one programming language such as Python, JavaScript, or TypeScript.
- Ability to design, implement, and troubleshoot end-to-end data integrations, including data mapping, schema validation, historical backfills, and production data quality checks.
- Strong data analysis skills, including interpreting customer data structures and identifying missing or inconsistent information.
- Hands-on experience configuring or building LLM-based workflows or AI agents, including writing instructions, evaluating outputs, testing behavior, and assessing production readiness.
- Ability to translate fraud patterns and compliance requirements into detection rules and validate their effectiveness against real-world data.
- Strong project management and organizational skills, including coordinating multiple implementations and maintaining delivery timelines.
- Clear written and verbal communication skills for discussions with compliance leaders, business stakeholders, and data engineering teams.
- Ability to produce actionable project updates and explain technical concepts to audiences with different levels of technical expertise.
- Experience in fintech, regtech, banking, or financial crime prevention is highly desirable.
- Familiarity with core banking data and systems from providers such as FIS, Fiserv, or Jack Henry is an advantage.
- Understanding of fraud detection, anti-money laundering processes, financial risk management, and regulatory reporting requirements is beneficial.
Responsibilities
- Lead customer implementations from initial discussions through go-live, managing project plans, timelines, deliverables, and stakeholder communication.
- Develop customer-specific integrations using real-time APIs, batch files, and core banking data extracts.
- Map schemas, backfill historical data, validate data quality, and prepare integrations for production.
- Build, test, and optimize fraud and AML detection rules, screening processes, and customer risk rating models.
- Configure and tune AI agents that support customer alert and case investigation workflows.
- Support regulatory workflows involving SARs, CTRs, CRR, and other compliance processes.
- Troubleshoot integration issues, debug failures, and validate production reliability.
- Train customer teams on the platform and workflows before transitioning them to Customer Success.
- Manage concurrent implementations, address changing requirements, communicate risks, and develop recovery plans.
- Develop reusable implementation playbooks and share customer feedback and recurring technical challenges with Product and Engineering.
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