Email, chat, and the web are integral parts of our everyday lives. They are essential for communication and productivity but also serve as a pathway for cybercriminals to exploit victims and infiltrate organizations. Attackers abuse these communication methods to steal identities through phishing, hold critical assets for ransom, inflict financial harm, and install malicious software. Do you want to take a major leadership role in a team dedicated to protecting hundreds of millions of people from these threats?
At Microsoft Security, our mission is to make the world a safer place for all. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
The Messaging and Web Security Research team protects customers who use Outlook.com, Microsoft Defender for O365, Microsoft Edge, and much more. With an unparalleled view of the threat landscape, we develop deep expertise in attacker techniques and use that knowledge along with the latest technology to stop it.
We are looking for a Principal Group Applied Sciences Manager for our team. The Principal Group Applied Sciences Manager should have a deep understanding of what it means to run a large-scale, operational organization supporting millions of customers, and the accountability that comes with it. This team must balance the fast-paced demand of on-call responsibilities and constant adjustment to adversaries with product innovation, team career growth, and work life balance. A successful leader in this role balances these competing demands while fostering cross-organizational collaboration to build and deliver on the strategic vision for AI in the products and services you support. Are you ready for this challenge?
Qualifications:
Required:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
in shipping and supporting large-scale computing data science products, features, or content.- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience in shipping and supporting large-scale computing data science products, features, or content.
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience in shipping and supporting large-scale computing data science products, features, or content.
- OR equivalent experience.
- 5+ years experience in either: data science or fraud/security.
- 1+ year people management experience with one year coaching other managers.
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred:
- 3+ years direct people management experience and multiple years coaching other managers.
- 1+ year of experience in data science and fraud/security.
- Demonstrated ability to influence organizational culture and attract and retain great people.
- Experience translating complex business problems into prioritized, results-driven team objectives.
- Demonstrated ability to drive strategy alignment and impact through collaborative work across organizational boundaries.
Applied Sciences M5 – The typical base pay range for this role across the U.S. is USD $133,600 – $256,800 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 $173,200 – $282,200 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 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.
#MSFTSecurity
#MSecR
Responsibilities:
People Management
- Model Microsoft values and actively drive team culture improvements.
- Connect business objectives with the right talent on the team. Help the team set clear goals and adapt when the business or environmental factors change course.
- Attract and retain great people; Know each individual’s capabilities and aspirations and invest in their growth.
Strategy and Innovation
- Develop the strategic vision for how we leverage AI to improve product effectiveness to meet business goals and also influence product and business group decisions.
- Cultivate relationships between yourself and your team across the organization to champion the adoption of innovative solutions that deliver business impact.
Operational Excellence
- Help team align work with business goals, and then document team plans, experimentation results, work in progress and completed.
- Ensure team members are ready for on-call rotation.
- Hold team accountable for model quality monitoring, root cause analysis, and implementation of fixes, process or documentation improvements based on learnings.