Engineering Manager, Data – AI
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Job Description
Engineering Manager leading a high-impact team in AI and data engineering for Brightside. Building intelligent solutions to enhance productivity and support client applications.
Responsibilities:
- Lead, hire, and develop a high-performing Client Intelligence engineering team
- Drive clarity, accountability, and predictable delivery across multiple initiatives
- Foster a culture of ownership, engineering excellence, and continuous improvement
- Coach engineers through hands-on guidance, feedback, and career development
- Design and build AI agents and workflows that automate complex processes and improve productivity
- Identify bottlenecks and deploy AI-driven solutions to reduce manual work
- Establish best practices for agent orchestration, tool integration, prompt design, evaluation, and observability
- Promote adoption of modern AI engineering practices across the organization
- Own technical direction for client intelligence systems, AI workflows, and supporting data architecture
- Contribute to code in Python, TypeScript, and backend systems
- Partner with data teams on data lake strategy, modeling, governance, and reliability
Requirements:
- 8+ years building and scaling production software systems
- 2+ years managing and leading engineers
- Strong proficiency in Python, TypeScript, and backend development
- Experience designing distributed systems, APIs, and data-intensive applications
- Hands-on experience building production AI systems, agents, or automation workflows
- Solid understanding of LLMs, APIs, and tool integration patterns
- Experience with data platforms (lakes, warehouses, pipelines) and AWS/cloud-native systems
- Strong problem-solving, debugging, and rapid prototyping skills
- Comfortable contributing in code while leading a team
Benefits:
- Flexible work arrangements
- Professional development opportunities
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