Software Engineer/Sr. Software Engineer
About the role
The Commercial Engineering & AI (CEAI) team partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers.
As a Software Engineer/Senior Software Engineer in the Marketing Growth Engineering team, you will play a pivotal role in optimizing and transforming internal marketing operations at Microsoft. You will develop large-scale solutions focused on streamlining marketing planning operations, directly impacting the effectiveness of marketing initiatives by leveraging advanced AI technologies to simplify and automate planning processes. Your efforts will help modernize how marketing teams operate, reducing manual effort while improving agility and alignment to business objectives.
Responsibilities
- Design and build automation for marketing planning and operations, collaborating with stakeholders to understand requirements and deliver impactful solutions.
- Review and implement well-structured, testable, and maintainable code for product features, contributing to a high standard of engineering excellence and quality.
- Leverage AI-native engineering practices across the development lifecycle to experiment, and utilize telemetry and feedback to optimize system performance and user outcomes.
- Implement best practices for security, reliability, and compliance, ensuring robust deployment pipelines and monitoring for marketing applications.
- Contribute to raising awareness and understanding of engineering principles (e.g., security, testability, scalability, accessibility) within the team and across related functions.
Qualifications
Required/minimum qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred qualifications:
- Experience in AI-native engineering practices, with hands-on experience applying AI to develop software solutions across the development lifecycle, including code generation, test automation, and related workflows.
- Experience designing, building, and maintaining large-scale enterprise systems with high reliability and performance.
- Understanding of geo-distributed architectures, including designing, deploying, and operating globally distributed applications.
- Experience with marketing technologies or a solid understanding of marketing processes is considered an advantage.
Pay
Software Engineering IC3: The typical base pay range across the U.S. is USD $102,100 - $202,200 per year. In the San Francisco Bay area and New York City metropolitan area, the range is USD $133,800 - $219,200 per year.
Software Engineering IC4: The typical base pay range across the U.S. is USD $119,800 - $234,700 per year. In the San Francisco Bay area and New York City metropolitan area, the range is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation.