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Senior/Principal Software Engineer - Growth (CoreAI)

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Microsoft Corporation

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

119800.00 - 234700.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • 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

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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