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.
The Marketing Growth Engineering team builds and operates the platforms that connect Microsoft’s marketing intent to measurable commercial outcomes. Within this organization, Customer Data Platform Engineering is responsible for creating a trusted, governed, and AI-ready commercial customer. This platform is strategically relevant to Microsoft’s commercial business because it enables high-quality customer engagements and agentic experiences grounded in authoritative customer context. By exposing reusable data products, APIs, Agents and MCP capabilities, the team accelerates into IQ, Copilot, and autonomous capabilities to power the Commercial business.
Responsibilities
Design, build, and operate scalable full-stack applications and data services that power AI-enabled commercial scenarios.
Develop secure APIs, user experiences, data pipelines, and distributed services using modern engineering practices.
Partner with product managers, data scientists, and engineering teams to translate business needs into reliable technical solutions.
Apply software engineering fundamentals across architecture, coding, testing, deployment, observability, performance, privacy, and security.
Use AI-assisted engineering tools and automation to improve developer productivity, solution quality, and delivery speed.
Troubleshoot complex production issues, strengthen service reliability, and contribute to operational excellence.
Provide technical leadership through design reviews, code reviews, mentoring, and continuous improvement.
Qualifications
Preferred Qualifications
Experience designing, building, testing, and operating production software or data systems.
Experience with data structures, algorithms, distributed systems, APIs, and cloud services.
Experience building full-stack applications and large-scale data pipelines on Azure or a comparable cloud platform.
Experience with relational and non-relational data stores, data modeling, batch and streaming processing, and service integration.
Experience applying AI/ agentic capabilities in production solutions and using AI-assisted development tools.
Experience collaborating across disciplines, communicate technical trade-offs, mentor engineers, and deliver secure, reliable services in ambiguous environments.
Technical leadership through architecture and design reviews, engineering standards, mentoring, and influencing teams without direct authority.
Written and verbal communication skills, with the ability to explain complex technical concepts, tradeoffs, risks, and recommendations to technical and non-technical stakeholders.
Experience operating in ambiguous, fast-moving environments by clarifying requirements, defining milestones, making sound decisions with incomplete information, and driving work to measurable outcomes.
Collaboration and stakeholder-management skills across product, data science, engineering, privacy, security, and partner teams.
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:
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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Experience designing, building, testing, and operating production software or data systems.
- Experience with data structures, algorithms, distributed systems, APIs, and cloud services.
- Experience building full-stack applications and large-scale data pipelines on Azure or a comparable cloud platform.
- Experience with relational and non-relational data stores, data modeling, batch and streaming processing, and service integration.
- Experience applying AI or agentic capabilities in production solutions and using AI-assisted development tools.
- Experience collaborating across disciplines, communicating technical trade-offs, mentoring engineers, and delivering secure, reliable services in ambiguous environments.
- Technical leadership through architecture and design reviews, engineering standards, mentoring, and influencing teams without direct authority.
- Written and verbal communication skills, including explaining complex technical concepts, trade-offs, risks, and recommendations to technical and non-technical stakeholders.
- Experience operating in ambiguous, fast-moving environments by clarifying requirements, defining milestones, making decisions with incomplete information, and driving measurable outcomes.
- Collaboration and stakeholder-management skills across product, data science, engineering, privacy, security, and partner teams.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
