• Overall responsibility of the lifecycle of the existing team backlog • Adapting to changing market needs as the product is rolled out to a wider audience • Drive the establishment & execution of required work to facilitate the Ford Finance expansion and transformation

Role Description We are hiring a Tech Lead for data and insights products to bring hands-on technical leadership to a product with major business potential and growing demand across Elevate. This role is not a pure people manager and not a narrow backend role. You will write code, guide architecture, and help the team deliver across backend services, data workflows, AI-assisted features, and frontend product experiences. You will technically lead a distributed engineering team that includes in-house full-stack and ML engineering talent, along with agency engineering partners. - The immediate need is a unifying technical leader who can turn product ambiguity into clear technical plans. - Improve delivery predictability. - Help the platform become a more trusted, usable, and scalable product. Qualifications - 7+ years of professional software engineering experience, with at least 2 years in a technical leadership role. - Strong backend engineering experience, including API design, service architecture, data flow design, and cloud-native systems. - Broad data exposure, including SQL, analytics platforms, data modeling, validation, and debugging data quality issues. - Full-stack fluency. - Experience building data-intensive applications where correctness, trust, performance, and user comprehension matter. - Strong hands-on coding ability. - Ability to lead distributed and agency engineering teams. - Product engineering judgment. - Clear communication with technical and non-technical stakeholders. - Comfort partnering with ML engineers and building reliable product workflows around AI and ML outputs. Requirements - Lead technical direction for the data and insights platform, including backend services, APIs, data workflows, and AI-assisted product capabilities. - Deliver hands-on features, especially where backend, data, and product experience overlap. - Provide technical leadership for a distributed engineering team. - Clarify planning and delivery tradeoffs across product priorities, stakeholder needs, engineering capacity, and technical sustainability. - Improve product trust, data quality, reliability, and usability. - Partner with product and design so scope, acceptance criteria, and tradeoffs are clear before work enters development. - Help make the product platform easier to adopt for internal teams and easier to evaluate for external clients. - Partner with the ML engineer to turn AI and ML work into production-quality product capabilities. - Partner with the full-stack engineer to connect frontend polish with backend feasibility and data constraints. - Help leadership make better investment decisions by translating engineering work into business outcomes. Benefits - This position is fully remote. - Full Time – Exempt. - Anticipated Base Salary: $100,000 - $185,000 (this position is bonus eligible). - Medical, Dental, Vision, Life, Short-Term & Long-Term Disability Insurance + FSA, HSA, and more. - 401k Employer Match after meeting eligibility requirements. - 14 Paid Holidays. - Unlimited PTO. - Paid Parental Leave.

• Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend • Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles • Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing • Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph) • Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems • Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks • Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code • Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes • Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry) • Build developer-friendly tools including SDKs, documentation, and API portals • Mentor engineers and contribute to system design, architecture reviews, and best practices

• D1- Updated, maintained, and release-ready NIRIS software baseline aligned with supported Java LTS releases. • D2- NIRIS unit and automated test updates. • D3- NIRIS logging and troubleshooting improvements. • D4- Updated NIRIS interface and interoperability support. • D5- Updated NIRIS software documentation set.