> Markdown version of [/jobs/ext/3872120-principal-technical-program-manager-fde](https://www.wearedevelopers.com/jobs/ext/3872120-principal-technical-program-manager-fde). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager - FDE - **Company:** Microsoft - **Location:** Chicago, IL, United States - **Salary:** $142,800.0 - $274,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Engineering, Information Engineering, Github, Machine Learning, Microsoft Software, Open Source Technology, Cloud Services, Software Engineering, Visual Studio Online, Agentic-AI, Software Coding - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-technical-program-manager-fde-chicago-il--457bf776-2ec9-4376-ac52-4e404c034674 ## About the Role Project/Program Management, Technical Leadership, Microsoft Product Family, Data Science, Project/Program Management, Technical Leadership, Delivery Driving, Artificial Intelligence (AI), Machine Tool, Product Lifecycle, Required/minimum qualifications * Bachelors Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. * 3+ years of experience managing cross-functional and/or cross-team projects., * Bachelors Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. * 8+ years of experience managing cross-functional and/or cross-team projects. * 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). * 1+ years of experience in customer-facing technical roles (e.g., consulting, solutions engineering, field engineering, or similar). * Experience with AI/ML technologies, cloud architecture, data engineering, and using AI tools and workflows in creating software engineering artifacts. * Enjoy travel and are comfortable with travel up to 25% Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. ## Description * Embed with strategic customers to lead complex technical programs with high autonomy, aligning business needs with engineering solutions across AI, cloud, and data. Take ownership of the customer journey end-to-end, from problem definition through co-engineering delivery to measurable business outcomes. * Apply AI assisted engineering practices as a daily operating mode: use AI tools across the full software development lifecycle to accelerate requirements-to-specs, generate high-quality engineering artifacts from customer context, and drive continuous flow of value from business need to production. * Operate fluently in engineering tooling (e.g., VS Code, GitHub, AI agents) as primary work surfaces for planning, documentation, and technical program leadership. Validate AI-generated outputs with domain expertise to maintain quality at speed. * Navigate ambiguity in customer environments with self-direction and high ownership. Make technical and program decisions with incomplete information, proactively identify opportunities and manage risks, providing data-driven recommendations to stakeholders. * Champion and cultivate reusable solution patterns, open-source assets, and engineering playbooks that scale impact beyond individual engagements. Contribute to the broader engineering community through knowledge sharing and best practices. * Partner with multi-disciplinary engineering teams (software engineers, data scientists, designers) to evaluate, design, and deliver AI-powered cloud solutions side-by-side with customer engineers. Give key stakeholders data-driven recommendations based on identified risks and tradeoffs.