Microsoft Logo

Microsoft

Director of Product Management -AI Skilling

Posted 7 Days Ago
Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
Lead the vision, strategy, roadmap, and global execution of AI-powered learning and workforce skilling products. Manage and mentor product managers, collaborate with engineering, design, research, marketing, and customer teams, and drive products from customer insight through launch and scale. Build AI-native experiences, improve product adoption and metrics, foster inclusive team practices, and deliver measurable outcomes for millions of learners.
The summary above was generated by AI
Overview

Microsoft is a place where passionate innovators come together to collaborate, envision what’s possible, and take their careers further. In a world driven by cloud-enabled innovation, we embrace openness, creativity, and limitless thinking.


Our mission is to empower every person and every organization on the planet to achieve more. We bring this to life through a growth mindset, a commitment to innovation, and a culture grounded in respect, integrity, and accountability, where everyone can thrive at work and beyond.


The Global Skilling Product Team (GSPT) is on a mission to build world-class skilling products and experiences that inspire customers, partners, Microsoft sellers, and future generations. Our goal is to reach 100M+ learners globally through impactful skilling, upskilling, and reskilling solutions.


We are seeking a proficient Director of Product Management–AI Skilling to lead a team of talented product managers in creating user-centered products, designs, and insights that guide the development of innovative products and services. They will collaborate closely with cross-functional teams, including Engineering, Design, Research, and Marketing, to help ensure our products meet user needs.


Responsibilities

The Director of Product Management, AI Skilling will define and lead the strategic vision, roadmap, and execution of AI-powered learning and workforce skilling solutions that empower individuals and organizations to thrive in the AI era. This leader will drive innovation at the intersection of artificial intelligence, education, and workforce transformation, partnering across engineering, design, research, business, and customer teams to deliver impactful products at global scale.
 
Key Responsibilities of the Director of Product Management, AI Skilling: 
 
  • Product Vision and Strategy: Drive the end to end product vision, strategy and roadmap for new products and experiences.
  • Lead the end-to-end product lifecycle from customer insight and concept development through design, engineering, launch, and global scale, ensuring rapid execution and measurable business impact.
  • Establish product practices that balance speed, quality, and scalability, enabling teams to ship quickly and continuously improve customer outcomes.
  • Build and scale AI-native products and platforms by translating customer needs into clear product requirements, prioritizing investments, and driving cross-functional alignment to deliver impactful solutions at global scale.
  • Leadership and Management: Lead and mentor a team of product managers and leads, providing guidance, support, and career development opportunities. Foster a collaborative and inclusive team culture that encourages creativity and innovation.
  • Collaboration: Work closely with product managers, engineers, designers, researchers, and other non-technical stakeholders to define and prioritize product requirements.
  • Innovation: Stay up-to-date with industry trends and best practices in product design and research. Identify opportunities for innovation and continuous improvement in our product building, design processes and methodologies.
  • Project Management: Manage multiple projects simultaneously, ensuring that product and design deliverables are completed on time and meet quality standards. Effectively communicate project status and progress to stakeholders. 

People Management: 


  • Managers enable success through empowerment, accountability, and inclusion—by modeling, coaching, and caring:
    • Model: Champion our culture by living our values, demonstrating inclusive behaviors, and applying leadership principles in everyday actions.
    • Coach: Set clear, meaningful goals and outcomes; support collaboration across teams and boundaries; and foster continuous learning, adaptability, and growth.
    • Care: Build and sustain diverse, effective teams by recognizing individual capabilities, understanding aspirations, and investing in each person’s development and well-being.

Other

  • Embody our culture and values.

Qualifications

Minimum Qualifications: 

  • Bachelor's Degree AND 10+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 3+ years people management experience.

Preferred Qualifications:


  • Bachelor's Degree in Computer Science, Engineering, Business, Human-Computer Interaction, Learning Sciences, or a related field AND 15+ years of experience in product management.
    • OR equivalent experience.
  • 8+ years people management and mentoring product or design teams experience.
  • 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 10+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 10+ years of experience improving the market position of a product, feature, or experience, such as expanding adoption or providing a differentiated alternative to an established product.
  • 10+ years of experience defining, building, shipping, and scaling digital products from concept to production.
  • Demonstrated experience leveraging Artificial Intelligence, Generative AI, Large Language Models (LLMs), copilots, agents, or machine learning technologies to solve customer problems.
  • Experience partnering closely with UX Design, User Research, and Engineering teams to define product requirements and deliver customer-centric experiences.
  • Experience building and operating products at scale serving large customer populations (consumer, enterprise, or marketplace products).
  • Experience navigating ambiguous environments, coordinating across multiple stakeholders, and delivering measurable outcomes.
  • Experience using qualitative and quantitative customer insights to inform product strategy and prioritization.
  • Proficient written and verbal communication skills with the ability to influence across executive and cross-functional stakeholders.
  • Experience managing and mentoring product and design teams that build consumer-facing products.
  • Experience in AI-powered learning, skilling, workforce transformation, education technology (EdTech), learning platforms, or creator learning ecosystems is preferred.
  • Experience taking products from concept through launch and scaling them to serve millions of active users.
  • Experience partnering with and leading alongside Design organizations to create intuitive, engaging, and differentiated customer experiences.

Product Management M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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.

Similar Jobs

An Hour Ago
Remote or Hybrid
120K-225K Annually
Expert/Leader
120K-225K Annually
Expert/Leader
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads Compensation Operations for monthly commission and compensation processing serving approximately 1,500 agents and managers. Oversees an eight-person team, ensures accurate and timely monthly close, drives process improvement and automation, promotes AI adoption, reconciles transactions across finance systems and carrier statements, partners with compensation design and technology teams, and advises organizational leadership on compensation operations.
Top Skills: Artificial IntelligenceCompensation Technology
An Hour Ago
Remote
US
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Design and develop scalable cloud-based backend architectures for PSA’s consumer-facing Set Registry platform. Own features through architecture, implementation, testing, deployment, and production release. Build APIs for web and mobile applications, improve databases and existing applications, troubleshoot complex systems, and collaborate with product and engineering teams. Contribute to technical design reviews, documentation, monitoring, security practices, and automated testing.
Top Skills: Amazon Api GatewayAmazon EcsAmazon EventbridgeAmazon SnsAmazon SqsAws CdkAws CloudformationAws LambdaBatch ProcessingDockerDynamoDBEvent-Driven ArchitecturesKubernetesMicroservicesPostgresPythonRest ApisTerraform
2 Hours Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills: C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account