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Senior​/Principal Software Engineer CoreAI

Job in Mountain View, Santa Clara County, California, 94040, USA
Listing for: Microsoft
Full Time, Part Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 119800 - 234700 USD Yearly USD 119800.00 234700.00 YEAR
Job Description & How to Apply Below
Position: Senior/Principal Software Engineer - Growth (CoreAI)
Job d:

Location:

United States, California, Mountain View Salary: USD $119,800 - $234,700 per year

Employment type:

Full-Time Work site: 3 days / week in-office

Role type:
Individual Contributor Travel:
Less than 25%
Profession:
Software Engineering Discipline:
Software Engineering Company:
Microsoft Overview About  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 Git Hub 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 Git Hub 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 Responsibilities What 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 For Software 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…
Position Requirements
10+ Years work experience
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