Microsoft
Foundational Offers Sr. Product Manager, Regulated Markets
$131K–$304K
Seattle, WA +3 · On-site · Manager · Full-time · Posted Oct 31, 2026
- Location
- Seattle, WA
San Francisco, CA
Austin, TX
United States - Experience
- 10+ years in product management, program management, process management, or process improvement; or equivalent experience.
- Education
- Bachelor’s Degree in Business, Operations, Finance, or a related field, or equivalent experience.
About the job
Owns the strategy, design, launch, and operation of scalable service offers for government and regulated-market customers across Microsoft solution areas.
What you'll do
- Define the multi-year offer roadmap, supported scenarios, compliance boundaries, and portfolio strategy.
- Partner across Finance, Sales, Delivery, Engineering, and Customer Success to develop pricing, packaging, operational models, and global go-to-market readiness.
- Use customer, market, regulatory, and business performance insights to prioritize investments and improve offers; collaborate on embedding AI capabilities.
What they ask for
- Bachelor’s Degree in Business, Operations, Finance, or a related field AND 10+ years of experience in product management, program management, process management, or process improvement — OR equivalent experience.
- Translate regulatory, sovereignty, security, and customer requirements into supported commercial offers and operational controls.
- Demonstrated end-to-end product or offer management, from ideation through launch and scale, with measurable business impact.
- Experience bringing commercial offerings to market, including pricing, packaging, SKU/offer architecture, and incentive design.
Nice to have
- Master’s Degree in Business, Operations, Finance, or a related field.
- Familiarity with Microsoft Unified Support and competing offerings from AWS, Google Cloud, Salesforce, and others.
Pay
USD $130,900 - $277,200 per year (base salary); USD $165,600 - $303,600 per year (base salary)
Tools
Microsoft Cloud, Government Cloud, AWS, Google Cloud, Salesforce
AI focus
Collaborate with engineering and data science teams to embed AI capabilities into product design and delivery, improving customer outcomes and operational efficiency.
Model-written summary · the original posting is authoritative