Technical Program Manager - AI Applications
Microsoft
Technical Program Manager - AI Applications
Multiple Locations, United States
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Overview
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
The Global Customer Success (GCS) organization, an organization within CE&S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovation solutions that accelerate business value, drive operational excellence and nurture long term loyalty.
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We're hiring for a Technical Program Manager specializing in the Azure AI & Applications Platform. This role will be focused on developing repeatable Intellectual Property (IP) and assets for broad use by internal Microsoft delivery resources, managing technical product escalations from customers, and interfacing with engineering on product roadmap and feature releases. Join us in shaping the future of technology!
This role is flexible in that you can work up to 100% from home.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 2+ years experience managing cross-functional and/or cross-team projects.
- Experience in AI Applications: Proficiency in building and scaling AI applications.
Preferred Qualifications:
- Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ years experience managing cross-functional and/or cross-team projects.
- 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos).
- Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
- Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
- Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
- Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said.
- Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with subject matter expertise in one or more of the following:
- Deep Domain Expertise in Azure AI Areas: Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products.
- Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Kubernetes, Docker, API Management).
- Architecting Enterprise-Grade Solutions: Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
- DevOps and MLOps: deep understanding of DevOps practices and CI/CD tool chains, and familiarity with MLOps (AI & ML lifecycle management) for sustainable enterprise grade deployments.
- Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, compute systems (GPU & FPGA), popular frameworks (TensorFlow & PyTorch), and tools (Jupyter notebooks & VS Code).
- Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness.
- Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP. Knowledge of the AI open-source ecosystem.
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until May 30, 2025.
Responsibilities
Customer-Centric Approach:
Understand customers' AI transformation priorities, and success measures.
Innovate with AI solutions that drive business value, and increase customer maturity, adoption and production readiness.
Ensure Technical Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Align these solutions to demand signals from the field teams, market patterns and product roadmap.
Facilitate scalable delivery through effective technical program management utilizing a factory model/approach; driving program awareness and demand across the regional areas, this includes obtaining understanding of delivery demand patterns which will inform IP strategy for delivery at scale.
Business Impact:
Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
Build repeatable IP and assets that create velocity in deployment and drives customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs.
Architect AI Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
Technical Leadership:
Deep Expertise in AI Applications: Proficiency in building and scaling AI applications.
Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap and feature prioritization. Provide clarity to field teams and customers on feature roadmap and develop assets that extend products aligned to strategy.
Continuous Learning: Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform. Share technical knowledge, best practices, and enablement throughout various communities internally and externally.
Accelerate Outcomes: Through engaging with field teams, share expertise, contribute to IP creation, and promote reusability to accelerate customer success, as well as collate feedback on assets to drive improvement and leverage field teams inputs.