Lead Engineer, Intelligence Platform

We're looking for an experienced Lead Engineer to drive the technical development of our data and intelligence infrastructure. You'll lead the intelligence platform engineering team—including data engineers and full-stack developers—to build scalable, production-grade systems that power AI-driven analysis and intelligence workflows.

This is a hands-on technical leadership role where you'll architect solutions, write code, set engineering standards, and build the culture that will scale our capabilities across the organization. You'll balance platform development with custom work, ensuring we build reusable systems while delivering immediate business value.

You'll work with in the Data organization. The structure is flat and horizontal—strong collaboration across these teams is essential to success. You'll partner closely with data scientists on technical integration and with the business team on data sourcing, vendor relationships, and operational requirements.

This role is based in North America, but requires flexibility to collaborate with European team members during their business hours.

• Own technical roadmap and architecture for data processing and intelligence systems
• Design and implement scalable, maintainable systems that balance innovation with operational stability
• Make critical technical decisions on frameworks, patterns, and infrastructure
• Establish engineering best practices, code quality standards, and development workflows
• Review code, provide technical guidance, and maintain technical excellence across the team
• Balance platform development with custom/bespoke work to meet business needs

• Tackle the most challenging technical problems that require senior expertise
• Build and optimize API endpoints, authentication/authorization systems, and data processing workflows
• Implement LLM integration patterns and orchestration frameworks
• Develop agent integration interfaces and tools
• Ensure platform reliability, performance, scalability, and cost optimization
• Lead and mentor a cross-functional team including data engineers, and full-stack developers distributed across US and EU time zones
• Set technical direction and prioritize work across platform development and business deliverables
• Organize workflows and processes to maximize team productivity and impact
• Foster a culture of experimentation, learning, and continuous improvement
• Recruit and retain top engineering talent as the team scales
• Create opportunities for continuous growth in technical skills and product thinking

• Collaborate closely with data science team on technical integration, model deployment, and analytics capabilities
• Partner with business team on data procurement, vendor integration, and provisioning requirements
• Work effectively within a horizontal organizational structure where collaboration across teams is essential
• Collaborate with product managers and business stakeholders to translate requirements into technical solutions
• Work with Dev Sec Ops  teams to ensure secure, compliant operations
• Communicate technical concepts and trade-offs effectively to non-technical stakeholders
• Participate in Labs-wide planning and initiative prioritization alongside other technical leads
• Contribute to technical strategy and roadmap in collaboration with senior technical leadership
• Balance building reusable, scalable capabilities with delivering immediate business value
• Identify opportunities to consolidate and scale patterns from custom work
• Drive evolution from project-based development to product-based platform thinking
• Support the broader business by making engineering capabilities scalable and commercially viable

• 8+ years of professional software engineering experience with 3+ years in technical leadership roles
• Deep experience building and scaling API-driven platforms and microservices architectures
• Proven track record implementing RBAC, authentication, and multi-tenant systems
• Strong experience with GCP (Google Cloud Platform), Kubernetes, and PostgreSQL
• Experience with LLM integration, orchestration frameworks (Lang Chain, Llama Index,…