Position Details
About this role
Lead a team of 8 software engineers to build and adopt AI-powered tools and agentic SDLC practices. Own product and technical strategy, drive architecture decisions, and ensure high-quality delivery with scalable, production-ready outcomes.
Key Responsibilities
- Lead and develop a team of 8 software engineers
- Define and execute product strategy for AI tools and agentic SDLC
- Drive technical strategy and architecture decisions for scalable AI development tools
- Partner with stakeholders to gather requirements and drive adoption
- Measure impact, iterate, and maintain engineering excellence and operational standards
Technical Overview
Responsible for end-to-end strategy and roadmap for implementing an agentic Software Development Life Cycle (SDLC) at the intersection of AI/ML innovation and practical engineering. Measures impact via customer feedback and usage patterns while driving scalable software architecture and operational standards.
Ideal Candidate
The ideal candidate is a senior engineering manager who has managed a team (8 engineers) and led end-to-end product and technical strategy for AI-powered development tooling. They are strong in architecture and adoption, driving agentic SDLC practices while partnering across a large organization to evangelize best practices and measure impact.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have prior engineering management experience leading and developing software engineers, Must be able to define product strategy and drive technical architecture decisions for AI tooling, Must demonstrate capability to implement and evangelize best practices across teams
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