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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.
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.
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.
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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
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
S oftware 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
Multinational technology corporation providing software, cloud, and AI solutions.
Visit company websiteJobs and hiring trendsUSD 165600-296400 yearly / year
Full-time
Senior · 8+ years experience
Hybrid
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