Director AI Product Marketing - Foundry Models

As Sr. Director, AI Product Marketing - Foundry Models you will be responsible for Azure’s AI primary inferencing capacities: Foundry Models.  You will be accountable for defining and executing the end-to-end product marketing strategy across Azure’s portfolio of proprietary and open models, model inferencing services, related products, and partner ecosystem. This is an, executive-facing role focused on establishing Azure as the premier platform of choice for production-scale AI workloads.

You will work closely with product engineering, sales leadership, internal marketing teams, brand, finance, business development, and business planning to deliver breakthrough messaging, drive global launches, and grow market adoption among technical, business, and partner audiences. Your remit spans strategy, positioning, solution mapping, competitive differentiation, and influencing Azure’s roadmap through deep customer and market insight. You will oversee a group of highly qualified Prdoct Marketing Managers (PMMs), and be in a cross-functional, matrixed leadership role with broad influence across the Azure organization and the global field.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• With your team, define and drive Marketing Positioning Frameworks (MPFs), assets, and customer evidence across the Azure AI Foundry Models stack, setting the narrative for Microsoft’s AI inferencing capability.
• Own global launch planning and readiness for new models, APIs, and inferencing products. Lead cross-functional teams—including engineering, sales, brand, and customer engineering—to drive adoption, awareness, and competitive wins.
• Develop and scale customer listening mechanisms and market intelligence to identify unmet needs, inform investment priorities, and shape the product roadmap for Azure’s AI inferencing platform.
• Translate technical capabilities into compelling customer solutions, use cases, and scenarios that demonstrate business value for priority verticals, industries, and developer communities.
• Participate in and consult on the end-to-end solution play alignment for Azure AI for Microsoft’s semi-annual go to market strategy motions.
• Produce crisp one-pagers and exec briefs that distill complex data/AI insights for decision-making for matters of strategic importance.
• Serve as technical thought-partner to PM/Engineering; evangelize roadmap at events and with analysts.
• Own the marketing plan and investment strategy for your portfolio, managing a multi-million dollar budget and setting clear adoption, usage, and revenue targets.
• Build, lead, and develop a team of product marketers, modeling Microsoft’s culture of growth, inclusion, and technical excellence.

Qualifications

Required Qualifications

• Master's Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business
  • OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
  • OR equivalent experience.
• 4+ years people management experience or indirect people management experience (or virtual teams).

Preferred Qualifications

• 10+ years of product or product marketing leadership experience in cloud, AI, or platform technology sectors, and leading large, cross-functional teams.
• Experience driving go-to-market strategy, launches, and growth for developer or AI/ML platforms at global scale.
• Knowledge of cloud AI, foundation models, inferencing, and related cloud technologies (Azure, AWS, GCP, or equivalent).
• Experience translating technical capabilities into customer value, with executive communication and storytelling skills.
• Experience engaging with C-level customers, technical decision-makers, and industry analysts.
• Prior experience scaling platform adoption with Idependent Software Vendors (ISVs), large enterprises, or vertical industry segments.
• Public speaking or evangelism experience at technical, business, or industry events.
• Experience working directly with AI model APIs, inferencing platforms, or developer infrastructure.
• Familiarity with open-source AI model ecosystems and developer communities.

Product Marketing M5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 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 July 25, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.