Senior Product Manager
Redmond, Washington, United States
Full Time Senior-level / Expert USD 117K - 250K
Microsoft
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Do you want to define and drive the vision, strategy and investments for the Azure AI platform that is used to power the AI that runs Microsoft and millions of our customers? The Azure AI Core Platform team at Microsoft is looking for a Product Manager for the Azure AI Model Catalog. Our team builds the AI product and platform that powers the most demanding workloads at Microsoft like Office, Bing, and Cognitive Services as well as accelerating the digital transformation of customers on Azure using flagship LLMs from leading Generative AI model creators. Our goal is to make Azure AI the best platform for building GenAI apps, offering the best choice of LLMs.
We're looking for an experienced Senior Product Manager to build the enterprise ready inference capabilities for the flagship generative AI models in the model catalog. Enterprises need high throughput and predictable latency inference capabilities. This requires to you understand the LLM hosting technologies and runtimes to deliver production ready inference solutions. You will need to figure out the right business and commerce models for all stakeholders involved, including the end users, model providers and Microsoft. We are looking for a seasoned product manager who has demonstrated strong customer obsession, and the ability to create clarity in highly ambiguous situations. Someone who can challenge assumptions and create consensus for a product path to help make Azure the best LLM hosting platform. Someone who can represent the public face of Generative AI at Microsoft across the industry.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
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.
Responsibilities
- Product Development & Iteration: Collaborate with teams to build specifications, iterate on designs, and align the roadmap with customer needs.
- Stakeholder Engagement: Engage with cross-functional partners and key stakeholders to gather input and support for product/service vision and strategy.
- Performance Metrics & Tracking: Track business impact using OKRs and KPIs, and ensure compliant telemetry with engineering teams.
- Customer & Market Insights:Collect and analyze data to inform product decisions, test hypotheses, and validate market opportunities.
- Communication & Evangelism: Evangelize product features through various channels and coordinate with Product Marketing for launch strategies.
- Support & Feedback: Manage customer feedback, improve support processes, and drive product improvements based on insights.
- Embody our culture and values
Qualifications
Required/minimum qualifications:
- Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
- OR equivalent experience.
- 5+ years of experience designing and shipping complex products for developers, ML professionals, or similar
- 2+ years of experience with distributed platform ecosystem (multi-tenant / real-time processing, batch computing etc.)
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Additional/preferred qualifications:
- Bachelor's Degree AND 7+ years of experience in product/service/project/program management or software development
- OR equivalent experience.
- Experience creating solutions using Azure, AWS, or Google Cloud
- Experience with Python, particularly for machine learning and generative AI apps
- Experience with Generative AI concepts like RAG, Assistants and Agents.
- Experience with AI and ML platforms
- Effective at driving complex multi-stakeholder processes and cross-team programs
- Ability to build effective relationships, influence and collaborate at all organizational levels
- Possess a sharp business acumen, detail oriented and analytical thinking skills
Product 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 November 28, 2024
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.
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Tags: AWS Azure Engineering GCP Generative AI Google Cloud KPIs LLMs Machine Learning OKR Python RAG Security
Perks/benefits: Career development Medical leave Startup environment
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