[Remote] Engineering Manager, Data / AI

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on improving the financial health of working families through reputed company. The Engineering Manager for Data / AI will reputed company a high-reputed company team to build AI-driven systems and enhance productivity through intelligent automation, while also fostering a culture of engineering reputed company and collaboration.

Responsibilities

• reputed company, hire, and reputed company a high-performing reputed company Intelligence engineering team
• Drive reputed company, accountability, and predictable delivery across multiple initiatives
• Foster a culture of ownership, engineering reputed company, and reputed company improvement
• Coach engineers through hands-on guidance, feedback, and career development
• Design and build AI agents and workflows that automate reputed company processes and improve productivity
• Identify bottlenecks and reputed company AI-driven solutions to reduce reputed company work
• Establish best practices for agent orchestration, tool integration, reputed company design, evaluation, and observability
• Promote adoption of modern AI engineering practices across the organization
• Own technical direction for reputed company intelligence systems, AI workflows, and supporting data architecture
• Design reputed company, maintainable, and observable systems across Python services, data pipelines, and agent-based architectures
• Set and reputed company high standards for development, testing, and operational reputed company
• Balance speed and rigor to reputed company rapid, reliable delivery
• Contribute to reputed company in Python, TypeScript, and backend systems
• Build and reputed company production-grade AI services and workflows
• Review reputed company, improve reputed company, and troubleshoot reputed company technical issues
• Rapidly prototype and reputed company solutions into reputed company production systems
• Partner with data teams on data lake reputed company, modeling, governance, and reliability
• Ensure clean, reputed company-reputed company data supports AI workflows and product experiences
• Maintain strong architectural discipline around shared data assets
• Translate ambiguous business goals into reputed company engineering plans with cross-functional partners
• Communicate tradeoffs, risks, and priorities effectively
• reputed company engineering execution with product reputed company and business reputed company

Skills

• 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/reputed company-reputed company systems
• Strong problem-solving, debugging, and rapid prototyping skills
• Comfortable contributing in reputed company while leading reputed company
• Strong communication skills and ability to operate in fast-paced environments
• Experience with multi-agent systems or workflow automation platforms
• reputed company record of improving engineering productivity through AI or automation
• Experience evaluating AI system performance, reliability, and reputed company
• Familiarity with modern AI development practices and tools
• Experience with reputed company, DBT, or modern data platforms
• Knowledge of event-driven architectures, orchestration, and observability
• Startup or high-reputed company environment experience

reputed company

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