CDI - Product Engineer Manager

This role leads a team of generalist product engineers owning one or more product areas end to end, from identifying opportunities to shipping and improving the product. The manager will partner with product and design to define the roadmap and translate user needs into scalable products, building reusable capabilities across customers. Responsibilities include driving execution across the full product development lifecycle, mentoring engineers, and maintaining a high engineering bar.

This role focuses on building and deploying AI agents and automations to streamline commercial and operational workflows. The engineer will work directly with business stakeholders to identify automation opportunities, develop solutions using LLMs and Python, and maintain technical documentation. The position requires hands-on experience with AI/LLM tools and a strong ability to translate business needs into technical requirements.

This role involves developing software for AI products, specifically focusing on MCP (Model Context Protocol) Manager components. The engineer will design, implement, and maintain features that enable AI model interactions, ensuring scalability and performance.

This Manager - Forward-Deployed AI Engineering builds useful AI systems that people rely on in daily work, partnering with SB Energy teams to learn workflows and build practical solutions. The role combines deep Codex fluency with Azure engineering to ship reliable software, integrations, and personalized skills, while owning delivery and ongoing improvement. It requires 5-8+ years of experience in software engineering or data engineering, with strong coding ability in Python or TypeScript and expert practical fluency with Codex and Azure.

This role takes ownership of a well-defined stream or mission, building and deploying AI agents and solutions while coaching junior consultants. The senior builder designs engaging learning experiences, prototypes functional AI solutions (no-code, low-code, vibe coding), and drives adoption through office hours and train-the-trainer programs. Success is measured by real adoption, team autonomy, and tangible changes in daily work.

This role leads AI adoption missions and programs, driving AI from experimentation to business transformation. The manager defines upskilling programs, builds agents and AI solutions (no-code, low-code, vibe coding), and manages teams, budgets, and client relationships. Responsibilities include scoping with L&D/HR, overseeing solution development, and structuring change management with KPIs and dashboards.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.