Multidisciplinary Engineering Manager (Forward Deployed Engineering)

Quick Facts

• Role: Multidisciplinary Engineering Manager (Forward Deployed Engineering)

Description

Lead a cross-discipline engineering team using a portfolio mindset to deliver high-impact, production-ready outcomes for customer teams. Serve as a player-coach, provide coaching and performance support across software engineering, technical program management, and data science, and strengthen a multidisciplinary operating model. Apply AI-forward hypervelocity engineering practices, including responsible AI, to move from idea to production in days while maintaining security, quality, and trust.

Responsibilities

• Lead a multidisciplinary engineering team and own a portfolio of work to maximize customer and company value through portfolio and delivery leadership.
• Coach and support engineers’ growth and performance across software engineering, technical program management, and data science.
• Act as a player-coach on selected engagements, modeling engineering fundamentals and inclusive cross-discipline collaboration.
• Partner with leadership and discipline managers to maintain healthy team rhythms and operational excellence.
• Drive continuous learning by elevating engineering practices and sharing reusable patterns and accelerators.
• Champion AI-forward hypervelocity engineering, guiding responsible AI practices and integrating emerging AI capabilities into customer solutions.

Requirements

• Bachelor’s degree in Computer Science or related technical field AND 6+ years technical engineering experience coding in 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.
• Comfort with travel up to 25%.
• Microsoft is unable to sponsor a work visa for this role.

Benefits

• This role may be eligible for benefits and other compensation.
• Typical base pay range (varies by level/location): USD $142,800–$274,800 (U.S.) or higher in San Francisco Bay Area and New York City metro; see company pay information for details.
• Opportunity to collaborate with leading global organizations and apply the latest advancements in AI to deliver outcomes at scale.