Responsibilities
Build end-to-end AI and automation solutions. Design, prototype, build, test, deploy, and iterate solutions using Power Apps, Power Automate, Copilot Studio, Dataverse, Microsoft 365 extensibility, GitHub Copilot, GitHub CLI, Azure AI capabilities, APIs, connectors, and code where needed.
Work directly with business teams. Partner with stakeholders to understand workflows, pain points, operational constraints, and success measures. Translate ambiguous business needs into clear solution designs, delivery plans, and working products.
Reimagine business processes. Go beyond automating existing steps. Identify opportunities to simplify, redesign, agentify, or eliminate work using AI, automation, and modern application patterns.
Prototype quickly and responsibly. Use AI-assisted development tools and rapid experimentation to test ideas, validate feasibility, and demonstrate value early, while maintaining a path to secure, reliable, and maintainable production solutions.
Deliver production impact. Take solutions from concept through deployment, adoption, support readiness, and iteration. Balance speed with quality, reliability, ownership, and lifecycle management.
Extend low-code with full-stack engineering. Build integrations, APIs, custom connectors, scripts, services, UI components, or backend logic using technologies such as JavaScript/TypeScript, Python, C#, GitHub, Azure, and Microsoft Graph when low-code alone is insufficient.
Build agents and AI-powered workflows. Create AI agents and copilots that are grounded in business data, connected to tools and actions, evaluated for quality, and designed with appropriate human-in-the-loop controls.
Measure business outcomes. Define success with stakeholders and track adoption, cycle-time reduction, manual effort avoided, quality improvements, user satisfaction, and time to value.
Build responsibly and for reuse. Apply security, privacy, responsible AI, access controls, data-loss prevention, testing, monitoring, and application lifecycle management. Create reusable agents, components, templates, and patterns that raise the capability of the broader team.
Contribute to a learn-it-all culture. Experiment with emerging AI tools, share demos, document patterns, mentor peers through technical examples, and help the team continuously improve how it builds.
Operate as part of a global team. Collaborate across time zones with business leaders, principal-level technical leaders, platform teams, engineering partners, and operational owners to manage dependencies and deliver cohesive solutions
Embody our culture and values
Qualifications
Required Qualifications
Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
1+ year(s) of experience managing cross-functional and/or cross-team projects.
Preferred Qualifications
Background as a Technical Product Manager, Technical Program Manager, Forward Deployed Engineer, Solutions Architect, product-minded engineer, or similar business-embedded technical role.
Passion for AI-assisted development and vibe coding, with demonstrated ability to turn ambiguous ideas into working prototypes and carry them through to product launch, adoption, and iteration.
Applied generative AI experience, including grounding, retrieval-augmented generation, agent orchestration, evaluation, prompt design, and human-in-the-loop workflows.
Familiarity with Azure AI services, Microsoft Graph, Microsoft 365 extensibility, Teams apps, SharePoint, and enterprise data integration patterns.
Experience building full-stack internal tools, workflow applications, dashboards, agents, or automations for enterprise users.
Experience redesigning end-to-end business processes and measuring operational improvements.
Evidence of technical thought leadership through reusable solutions, demos, communities of practice, internal accelerators, or shared engineering patterns.
Strong ability to learn new tools quickly and apply them pragmatically to real business problems.
Technical Program Management IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
