Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles

• Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.)

• Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments

• Familiarity with data pipelines, ETL tools, and financial systems integration

• Prior experience in fintech, banking, or highly regulated industries is a strong plus

Other Requirements:

• Skilled in navigating technical discussions with both engineers and executives

• Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment

• Excellent written and verbal communication skills

• Proficiency in one or more programming languages (NextJS, Typescript preferred)

• Hands-on experience with compliance-sensitive implementations (e.g., KYC/AML, credit decisioning workflows)

Responsibilities:

• Lead post-sales technical implementation for our AI-powered lending platform with major U.S. financial institutions

• Translate complex client needs into scalable, secure, and high-performance architectures

• Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations

• Guide clients through API integrations, data mapping, and custom configurations

• Be the trusted technical advisor for clients, ensuring long-term success and satisfaction

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 4+ years of experience in software engineering

• Proven track record of translating complex technical concepts into clear business value propositions with measurable outcomes

• Entrepreneurial mindset with experience driving initiatives from concept to execution

• Solid understanding of modern programming languages and (AI) frameworks (e.g., Python, LangChain, Vercel AI-SDK, React, TypeScript, Next.js, etc.)

Other Requirements:

• A skillset at the intersection of software development, business strategy and customer engagement

• Strong problem-solving skills and a knack for innovative thinking

• Excellent communication skills and a collaborative team spirit

Responsibilities:

• Partner directly with customers to translate critical business requirements into technical solutions, engaging with customer executives to architect software that addresses their most pressing challenges in banking

• Drive high-stakes projects with CTO-level ownership, writing production-quality code while balancing multiple technical and business priorities across architecture, coding, and strategic planning

• Architect and build end-to-end systems integrating AI models, backend APIs, and web applications while owning complete technical solutions from design through production deployment

• Learn and drive engineering best practices

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.

• Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.

• Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).

• Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.

• Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.

Other Requirements:

• Proven ability to mentor and guide technical teams.

Responsibilities:

• Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.

• Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.

• Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations

• Develop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.

• Collaborate with AI engineers to benchmark & integrate models into the core platform.