Role at a glance
- Salary
- $165.6K – $296.4K/yr
- Location
- Mountain View, California, United States Redmond, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's
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About the role
Original posting provided by Microsoft
About the Role
We’re building AI‑first growth and experimentation systems that scale across Microsoft. This role is about designing foundational engineering systems (instrumentation, experimentation, rollout, and decisioning) that let teams ship, measure, learn faster with higher confidence.
As a Principal Growth Engineer in CoreAI, you’ll drive the technical strategy for how we measure, experiment, and scale AI experiences across world‑class products — while remaining deep in the details and landing meaningful changes daily.
At this level, impact comes from building repeatable systems and raising the engineering bar: better experiment quality, better telemetry, safer rollouts, and clearer business outcomes — delivered through pragmatic execution and deep technical judgment.
About CoreAI
CoreAI – Platform and Tools is Microsoft’s AI‑first engineering organization, created to build the end‑to‑end Copilot & AI stack powering products like GitHub Copilot and Visual Studio Code.
Our mission is to empower every developer to shape the future with AI, accelerating how AI applications are built, deployed, and improved at global scale.
Responsibilities
What You’ll Do
Own growth through engineering excellence and experimentation — at a systems level
Architect and build paved paths for online experimentation: standardized metrics, guardrails, analysis workflows, and rollout automation that improve reliability and decision quality across teams
Lead multi‑workstream initiatives that span teams/products (e.g., unified growth measurement, cross‑surface funnels, experimentation quality improvements)
Build and evolve core capabilities: telemetry foundations, experiment assignment/targeting, feature flighting, and risk controls (kill‑switches, guardrails, progressive delivery)
Partner with Product, Data Science, Design, and Research to turn ambiguous goals into shippable, measurable systems
Stay close to the work: write production code, review designs/PRs, and coach others through architecture and implementation tradeoffs
What We're Looking For
Proven ability to design and ship systemic solutions (platforms, frameworks, primitives) that enable multiple teams to move faster — while remaining deeply hands‑on and detail‑oriented
Software engineering fundamentals with experience building, shipping, and operating production services or client applications at scale
Demonstrated technical leadership across architecture, service fundamentals, and quality (reliability, performance, operability, security, and maintainability)
Track record of translating ambiguous product/business problems into measurable engineering outcomes, with clear hypotheses, instrumentation, and decision criteria
High data aptitude: comfortable with metrics, telemetry, and experimental analysis — and able to raise the bar on experimentation rigor and interpretation
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 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
8+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning)
4+ years of experience in experimentation with emphasis on quality: guardrails, bias detection, metric integrity, rollout risk management, and enterprise grade experimentation
Demonstrated experience building experimentation/measurement platforms (feature flags/flighting, assignment, metrics pipelines, analysis tooling) used by multiple teams
Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production systems
Cross‑team influence: you create clarity, align stakeholders, and drive execution across organizational boundaries — without becoming a “piece‑mover”
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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
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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.