Engineering Manager

• Lead and manage 3 or 4 teams of multi-disciplinary engineers that are working with AI technologies (Python, Llangsmith, Evals stack, OpenAI, Gemini, Databricks, etc.), providing mentoring, guidance, and support.
• Drive innovation and continuous improvement in application system design, architecture, and development processes, leveraging the latest technologies and tools to improve product functionality and customer experience.
• Create new best practices and processes for building products with AI-Native technologies -CI/CD with Evals, test-sets, Search subsystems etc.
• Work closely with product managers and other stakeholders to define product requirements, develop project plans, and ensure timely delivery of new features and enhancements.
• Choose and implement best-in-class open source and paid tools for ai-native software -including MCP Servers, A2A communications, CI/CD pipelines and workflows and definitions of agents.
• Manage teams that develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.
• Manage the hiring, onboarding, and development of team members, ensure a diverse and inclusive workplace.
• Communicate effectively with internal and external stakeholders.

Senior AI Engineering Manager

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Engineering Director

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Engineering Manager