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Overview
The **Product Manager II (PM II)**for Growth Analytics in IDEAS owns the definition and delivery of broader, end‑to‑end product scenarios that enable teams across Microsoft to experiment, measure impact, and make data‑driven decisions about Copilot growth. This role operates with significant autonomy in an environment with ambiguity, multiple dependencies, and evolving customer needs.
You will be responsible for connecting multiple investments across experimentation, analysis, and insights tooling to ensure they work together cohesively to deliver meaningful customer and business outcomes. You will partner closely with engineering, design, data science, and research to shape product strategy, drive execution, and continuously learn through hypothesis‑driven experimentation.
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 Ownership & Strategy
- Own broader experimentation and analysis scenarios, defining clear problem statements, success metrics, and outcomes rather than narrowly scoped features.
- Develop and maintain a product roadmap that connects multiple investments into a coherent end‑to‑end experience for experimenters and analysts.
- Anticipate risks, dependencies, and downstream impacts, and make informed tradeoffs across scope, quality, time, and partner needs.
Experimentation & Analysis Enablement
- Drive the development of robust experimentation and analysis tooling, enabling customers to run A/B tests, multivariant experiments, and post‑experiment analyses at scale.
- Partner with data science and engineering teams to ensure experimentation frameworks are reliable, measurable, and extensible.
- Promote hypothesis‑driven experimentation to validate product decisions and iterate based on learnings.
Data‑Driven Decision Making
- Use quantitative telemetry and qualitative customer insights to inform product decisions.
- Define and monitor success metrics for product features and experimentation workflows.
- Apply analytical rigor to evaluate outcomes and adjust strategy based on evidence.
Cross‑Functional Collaboration
- Work closely with engineering, design, and data science to define requirements, scenarios, and acceptance criteria.
- Communicate product direction, progress, and results clearly to stakeholders across disciplines and levels.
- Proactively identify when additional alignment or help is needed and engage the right partners.
Customer & Stakeholder Engagement
- Engage with internal customers to understand workflows, pain points, and unmet needs related to experimentation and analysis.
- Translate customer feedback into actionable product improvements.
- Ensure alignment between product direction and broader business goals.
Qualifications:
Required Qualifications:
- Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience.
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.
Preferred Qualifications:
- Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.
- 2+ 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).2+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
#DPG #DGPHiring
Product Management IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.
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About Microsoft
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Compensation
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Culture
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Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Mid/L4 · Program Manager
0 reports
$191,472
total / year
Base
$146,773
Stock
$26,238
Bonus
$18,461
$138,474
$273,204
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
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System Design
Behavioral/STAR
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