Engineering Manager

interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI.

Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth.

interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation.

Careers - https://interface.ai/open-positions

LinkedIn - https://www.linkedin.com/company/interface-ai/

Do You Make the Cut?

As an Engineering Manager, you will be responsible for:

• Lead a team of Backend, Front end and QA engineers in developing conversational AI products
• Collaborate with product managers, designers, and other stakeholders to define technical requirements and ensure alignment with the company's goals
• Oversee the entire product development process, from design to deployment, and ensure timely delivery of high-quality products
• Provide technical guidance and mentorship to the engineering team
• Manage the recruitment, hiring, and onboarding of new team members
• Stay up-to-date with the latest trends and technologies in conversational AI and related fields
• Ensure the engineering team follows best practices and adheres to the company's engineering standards
• Collaborate with other technical teams to ensure seamless integration with other company products and services

Requirements

• 10+ years of industry experience in backend development, with at least 3 years in a technical leadership role within a startup environment.
• Proven track record of delivering scalable, high-performance backend systems in a fast-paced, agile setting.
• Strong expertise in one or more of the following languages: Python, Go, js, or Java, with a willingness and ability to work extensively in Node.js (our primary backend language).
• Hands-on experience with Node.js frameworks such as js, Koa.js, or Fastify, and proficiency in building RESTful APIs and GraphQL services.
• Deep understanding of database technologies, including NoSQL (e.g., MongoDB, DynamoDB) and Relational databases (e.g., PostgreSQL, MySQL), with expertise in schema design and query optimization.
• Proficiency in real-time communication protocols (e.g., WebSockets, Server-Sent Events) and experience building low-latency, high-throughput applications.
• Strong knowledge of microservices architecture, containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, GCP, Azure).
• Expertise in unit testing, integration testing, and Test-Driven Development (TDD) using frameworks like Mocha, Jest, or Pytest.
• Familiarity with message queues (e.g., RabbitMQ, Kafka) and event-driven architectures for scalable backend systems.
• Strong understanding of security best practices, including authentication (OAuth, JWT), data encryption, and secure API design.
• Experience with CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and monitoring tools (e.g., Prometheus, Grafana).
• Exceptional problem-solving skills and a proactive approach to identifying and resolving technical challenges.
• Demonstrated ability to mentor and guide engineers, unblock team members, and foster a culture of technical excellence.
• Passion for leveraging AI in the banking sector and delivering innovative, enterprise-grade SaaS solutions.
• Proficiency with Git and agile development methodologies.
• Preferred: Experience building backend systems for conversational AI or NLP-based applications.

Benefits

• Remote First Policy
• Comprehensive Insurance Policy
• A chance to have a big impact early in your career

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not  discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.