Job description

Overview Commercial Engineering & AI (CEAI) 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. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply. Be part of a culture that celebrates excellence and drives innovation where success is a shared journey. As a Software Engineer/Senior Software Engineer in Marketing Growth Engineering team, you will play a pivotal role in optimizing and transforming internal marketing operations at Microsoft. In this position, you will develop large-scale solutions focused on streamlining marketing planning operations. You will directly impact the effectiveness of marketing initiatives by leveraging advanced AI technologies to simplify and automate the planning processes, enabling marketers to reach the customers more efficiently. Your efforts will help modernize the way marketing teams operate, reducing manual effort while improving agility and alignment to business objectives. If you are passionate about building scalable solutions that redefine how marketing teams achieve success and are eager to work at the forefront of AI in enterprise applications, we invite you to be part of our journey. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. This mission guides us in how we partner with our customers to deliver trusted and impactful solutions. With a growth‑mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone 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. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.
Be part of a culture that celebrates excellence and drives innovation where success is a shared journey.
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.
Required/minimum qualifications
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaccessibilityjavajavascriptpython

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