Multidisciplinary Manager (Software Engineering) - FDE

Provide clear coaching, career development, and performance support for engineers across software engineering, technical program management, and data science, fostering growth in a multidisciplinary environment. Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration. Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements. Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model. Champion AI‑forward hypervelocity engineering by guiding teams to apply responsible AI practices, leverage accelerators and reusable patterns, and integrate emerging AI capabilities into customer solutions and delivery. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years people management experience 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and use of cloud AI platforms Enjoy travel and are comfortable with travel up to 25%