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Principal Software Engineer - Growth (CoreAI)

Microsoft

Principal Software Engineer - Growth (CoreAI)

full-timePosted: Jul 7, 2026Updated: Aug 27, 2026Mountain View, CA, US

Job Description

OverviewAbout 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. ResponsibilitiesWhat 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 QualificationsRequired 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 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 Qualifications8+ 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-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
  • Redmond, WA, US
  • New York, NY, US
  • Boston, MA, US
  • San Francisco, CA, US

Salary

165,600 - 296,400 USD / yearly

Skills Required

  • coding in languages includingintermediate
  • experimentation with emphasis on quality: guardrailsintermediate
  • experimentation/measurement platformsintermediate

Required Qualifications

  • 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 (experience)
  • 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 (experience)
  • Software engineering fundamentals with experience building, shipping, and operating production services or client applications at scale (experience)
  • Software engineering fundamentals with experience building, shipping, and operating production services or client applications at scale (experience)
  • Demonstrated technical leadership across architecture, service fundamentals, and quality (reliability, performance, operability, security, and maintainability) (experience)
  • Demonstrated technical leadership across architecture, service fundamentals, and quality (reliability, performance, operability, security, and maintainability) (experience)
  • Track record of translating ambiguous product/business problems into measurable engineering outcomes, with clear hypotheses, instrumentation, and decision criteria (experience)
  • Track record of translating ambiguous product/business problems into measurable engineering outcomes, with clear hypotheses, instrumentation, and decision criteria (experience)
  • High data aptitude: comfortable with metrics, telemetry, and experimental analysis — and able to raise the bar on experimentation rigor and interpretation (experience)
  • High data aptitude: comfortable with metrics, telemetry, and experimental analysis — and able to raise the bar on experimentation rigor and interpretation (experience)
  • 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. (experience, 8 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)
  • 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: (experience)
  • 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

  • 8+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) (experience, 8 years)
  • 8+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) (experience, 8 years)
  • 4+ years of experience in experimentation with emphasis on quality: guardrails, bias detection, metric integrity, rollout risk management, and enterprise grade experimentation (experience, 4 years)
  • 4+ years of experience in experimentation with emphasis on quality: guardrails, bias detection, metric integrity, rollout risk management, and enterprise grade experimentation (experience, 4 years)
  • Demonstrated experience building experimentation/measurement platforms (feature flags/flighting, assignment, metrics pipelines, analysis tooling) used by multiple teams (experience)
  • Demonstrated experience building experimentation/measurement platforms (feature flags/flighting, assignment, metrics pipelines, analysis tooling) used by multiple teams (experience)
  • Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production systems (experience)
  • Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production systems (experience)
  • Cross‑team influence: you create clarity, align stakeholders, and drive execution across organizational boundaries — without becoming a “piece‑mover” (experience)
  • Cross‑team influence: you create clarity, align stakeholders, and drive execution across organizational boundaries — without becoming a “piece‑mover” (experience)
  • 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. (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

  • Own growth through engineering excellence and experimentation — at a systems level
  • 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
  • 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)
  • 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)
  • 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
  • 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
  • Stay close to the work: write production code, review designs/PRs, and coach others through architecture and implementation tradeoffs

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%

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