Engineering Manager, Data – AI

Job not on LinkedIn

🕒 May 6

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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BrightSide

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🎯 Recruiter

🤝 B2B

🏢 Enterprise

Recruitment • B2B • Enterprise

BrightSide is an Argentina-based IT staffing and SAP consulting company that helps organizations build and augment technology project teams by sourcing senior, specialized IT talent and providing end-to-end SAP services. They offer IT staff augmentation, recruiting and hunting, on-site or remote assignments, and various SAP services including implementations and migrations to S/4HANA, ABAP and Fiori/UI5 development, integrations, SAP BASIS and security, and packaged support and maintenance plans. BrightSide focuses on rapid delivery, flexible engagement models, and long-term support for enterprise clients.

📋 Description

• 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