Deployment & Solutions Engineer

Jobgether

Idaho Falls (ID)

A distancia

USD 60.000 - 80.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Pre-IPO equity
100% company-paid healthcare
Home office support
Fully remote

Descripción de la vacante

Jobgether, acting on behalf of a partner company, seeks a Forward Deployment Engineer in the United States. You will lead end-to-end customer implementations, design data integrations, and configure fraud/AML and AI-driven investigation workflows.

You will also support regulatory reporting and ensure production readiness. Ideal candidates have 5+ years in B2B SaaS, strong API/SQL/ETL skills, and experience with data mappings, banking data, and AI-enabled workflows.

Formación

  • 5+ years in implementation, solutions engineering, or forward-deployed engineering for a B2B SaaS product.
  • Experience in fintech/regtech or financial crime prevention is highly desirable.
  • Strong technical proficiency with REST APIs, SQL, ETL pipelines, and at least one programming language (Python/JS/TS).
  • Ability to design end-to-end data integrations with data mapping, validation, and production quality checks.

Responsabilidades

  • Lead customer implementations from discussions to go-live with project plans and stakeholder communication.
  • Develop customer-specific data integrations using real-time APIs, batch files, and core banking data extracts.
  • Configure fraud and AML programs, including rules and CRR models to detect risks.
  • Configure and tune AI agents for investigation workflows in production.
  • Support SARs/CTRs/CRR regulatory workflows and compliance processes.
  • Validate data quality, investigate issues, and ensure reliable production operation.
  • Train customers to operate the platform and handover to Customer Success.
  • Manage multiple implementations, handle changing requirements, and mitigate risks.

Conocimientos

REST APIs
Postman
SQL
ETL pipelines
Python/JavaScript/TypeScript
Data mapping
Regtech/AML knowledge

Herramientas

REST APIs
Postman
SQL
Relational databases
ETL
Python
JavaScript/TypeScript

Descripción del empleo

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Forward Deployment Engineer based in the United States.

Responsibilities
  • Own end-to-end implementations: Lead customer implementations from initial discussions through go-live, managing project plans, timelines, deliverables, and communication with business and technical stakeholders.
  • Design data integrations: Develop customer-specific integrations using real-time APIs, batch files, and core banking data extracts, including schema mapping, historical data backfills, validation, and production readiness.
  • Configure fraud and AML programs: Build, test, and optimize detection rules, screening processes, and customer risk rating (CRR) models to identify suspicious activity and financial crime risks.
  • Develop AI-powered investigation workflows: Configure and tune AI agents that help customer teams investigate alerts and cases, ensuring outputs and workflows support effective decision-making.
  • Implement regulatory workflows: Support customer requirements involving Suspicious Activity Reports (SARs), Currency Transaction Reports (CTRs), Customer Risk Rating (CRR), and other relevant compliance processes.
  • Validate data quality, investigate integration issues, debug failures, and ensure implementations operate reliably in production.
  • Train and enable customers: Educate customer teams on the implemented platform and workflows, ensuring they can operate independently before transitioning to Customer Success.
  • Manage concurrent projects: Keep multiple implementations on schedule, respond to changing requirements, communicate risks early, and develop recovery plans when delivery timelines are threatened.
  • Develop repeatable implementation practices: Turn project learnings into reusable playbooks, standardized processes, and scalable implementation methodologies.
  • Share customer feedback, technical challenges, and recurring implementation patterns to inform product improvements and future development.
Qualifications
  • At least 5 years of experience in implementation, solutions engineering, solutions architecture, technical consulting, or forward-deployed engineering for a B2B SaaS product.
  • Experience in fintech, regulatory technology (regtech), banking, or financial crime prevention is highly desirable.
  • Strong 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, with the ability to interpret customer data structures, identify missing or inconsistent information, and communicate required changes to technical stakeholders.
  • Familiarity with core banking data and systems from providers such as FIS, Fiserv, or Jack Henry is an advantage.
  • Ability to translate fraud patterns and compliance requirements described by Bank Secrecy Act (BSA) officers or fraud leaders into detection rules and validate their effectiveness against real-world data.
  • Hands-on experience configuring or building large language model (LLM)-based workflows or AI agents, including writing instructions, evaluating outputs, testing behavior, and determining production readiness.
  • Understanding of fraud detection, anti-money laundering processes, financial risk management, and relevant regulatory reporting requirements is beneficial.
  • Strong project management and organizational skills, with the ability to coordinate several implementations and maintain committed delivery timelines while adapting to changing priorities.
  • Excellent written and verbal communication skills, including the ability to facilitate discussions with compliance leaders, business stakeholders, and data engineering teams.
  • Ability to produce clear, actionable project updates and communicate technical concepts to audiences with different levels of technical expertise.
  • A proactive, adaptable, and customer-oriented mindset, with strong problem-solving skills and a willingness to take ownership of complex challenges.
Compensation and Benefits
  • 15,000–$20,000, paid quarterly and based on agreed-upon projects and Net Revenue Retention (NRR).
  • Equity: Pre-IPO equity opportunity.
  • Healthcare: 100% company-paid medical, dental, and vision insurance for employees.
  • Retirement savings: Home office support: Assistance with home office setup.
  • Remote work: 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.

Commitment to building a diverse and inclusive workforce, with candidates encouraged to apply even if they do not meet every listed requirement.

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