Senior/Principal Software Engineer - Growth (CoreAI)
Microsoft
Senior/Principal Software Engineer - Growth (CoreAI)
Job Description
OverviewAbout the Role We’re building AI‑first engineering systems that power growth at Microsoft — designing, shipping, and scaling code that directly shapes how millions of developers experience and adopt AI. As a Growth Engineer in CoreAI, you’ll sit at the intersection of product, engineering, and data, driving experimentation, learning velocity, and real business impact across world‑class developer and AI products. This role is about shipping fast, learning faster, and scaling what works — all while upholding Microsoft’s commitment to responsible, inclusive, and trustworthy AI. 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. Why This Role Is Exciting This is not growth at the edges — this is growth at the core. Build AI‑powered growth loops on world‑class products like VS Code and GitHub Operate inside a high‑velocity, AI‑first engineering organization where learning speed matters Influence how hundreds of millions of users discover, adopt, and succeed with AI Drive real business impact — measured, shipped, and scaled Help define what responsible growth looks like in the AI organisation Our Culture & Values At Microsoft, how we build matters as much as what we build. We are guided by our mission to empower every person and every organization on the planet to achieve more, and we show up every day with: A growth mindset Respect, integrity, and accountability A commitment to inclusive, responsible AI that earns trust and benefits everyone We believe diverse perspectives make our products — and our teams — stronger. Impact You’ll Have Raise the bar for experimentation quality across CoreAI Help define AI growth best practices for Microsoft Turn learning into leverage — faster adoption, better experiences, measurable results ResponsibilitiesWhat You’ll Do Own growth through engineering excellence and experimentation Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings Use data and telemetry to guide decisions — from experiment design to rollout strategy Scale successful growth patterns across high‑traffic, global AI products Balance speed and rigor in a fast‑paced, AI‑first engineering environment What We're Looking ForSoftware engineering fundamentals with experience building, shipping, and operating production services or client applications Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment Ability to reason about performance, reliability, and correctness in high‑traffic systems Experience supporting or driving experimentation (A/B testing) in production environments Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies Engineering mindset grounded in hypothesis‑driven development and learning through iteration QualificationsRequired QualificationsBachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other RequirementsAbility 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 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features 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 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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-payThis 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.
Locations
- Mountain View, CA, US
- San Francisco, CA, US
- Redmond, WA, US
- New York, NY, US
- Boston, MA, US
Salary
119,800 - 234,700 USD / yearly
Skills Required
- designing scalableintermediate
- high‑qualityintermediate
- coding in languages includingintermediate
Required Qualifications
- Software engineering fundamentals with experience building, shipping, and operating production services or client applications (experience)
- Software engineering fundamentals with experience building, shipping, and operating production services or client applications (experience)
- Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation (experience)
- Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation (experience)
- Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment (experience)
- Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment (experience)
- Ability to reason about performance, reliability, and correctness in high‑traffic systems (experience)
- Ability to reason about performance, reliability, and correctness in high‑traffic systems (experience)
- Experience supporting or driving experimentation (A/B testing) in production environments (experience)
- Experience supporting or driving experimentation (A/B testing) in production environments (experience)
- Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies (experience)
- Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies (experience)
- Engineering mindset grounded in hypothesis‑driven development and learning through iteration (experience)
- Engineering mindset grounded in hypothesis‑driven development and learning through iteration (experience)
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. (experience, 4 years)
- 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. (experience)
Preferred Qualifications
- 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails (experience, 2 years)
- 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails (experience, 2 years)
- 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) (experience, 4 years)
- 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) (experience, 4 years)
- Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features (experience)
- Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features (experience)
- 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. (experience)
- 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 (experience)
- Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year. (experience)
- 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 (experience)
- This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)
Responsibilities
- Raise the bar for experimentation quality across CoreAI
- Raise the bar for experimentation quality across CoreAI
- Help define AI growth best practices for Microsoft
- Help define AI growth best practices for Microsoft
- Turn learning into leverage — faster adoption, better experiences, measurable results
- Turn learning into leverage — faster adoption, better experiences, measurable results
- Own growth through engineering excellence and experimentation
- Own growth through engineering excellence and experimentation
- Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention
- Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention
- Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence
- Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence
- Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings
- Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings
- Use data and telemetry to guide decisions — from experiment design to rollout strategy
- Use data and telemetry to guide decisions — from experiment design to rollout strategy
- Scale successful growth patterns across high‑traffic, global AI products
- Scale successful growth patterns across high‑traffic, global AI products
- Balance speed and rigor in a fast‑paced, AI‑first engineering environment
- Balance speed and rigor in a fast‑paced, AI‑first engineering environment
Benefits
- general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
- general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
- general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
- general: Community PCS: Find your people, build your network, and feel supported every step of the way
Travel Requirements
Less than 25%
Tags & Categories
Answer 10 quick questions to check your fit for Senior/Principal Software Engineer - Growth (CoreAI) @ Microsoft.
10 Questions
~2 Minutes
Instant Score