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The Edge Growth MAI-A team is responsible for driving user acquisition, engagement, and retention for Microsoft Edge, which serves over a billion users worldwide. We build and optimize data, experimentation, feedback, and insights systems to enable rapid product growth. Our mission is to connect data to insights, connect insights to action, leveraging AI-driven capabilities and intelligent experimentation to accelerate decision-making and deliver impactful user experiences.
Job Responsibility:
Design, develop, and maintain scalable systems for growth experimentation, feedback loops, and data-driven insights
Build reusable components and architecture to support long-term sustainability and rapid iteration
Collaborate with Data Science teams to operationalize AI-first engineering solutions, including advanced AI solution, -powered insights and personalization systems
Implement intelligent experimentation frameworks to optimize user journeys and product features
Work closely with PMs, Data Scientists, and other engineers in mission-based crews to deliver milestones aligned with growth objectives
Ramp up quickly across different areas of the Edge codebase, embracing flexibility and breadth of expertise
Develop and refine KPIs dashboards, churn analysis systems, and attribution models to measure success and guide decisions
Ensure high-quality telemetry and experimentation infrastructure for global scale
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
Experience with distributed systems, data pipelines, and cloud services
Solid understanding of experimentation frameworks and data analytics
Nice to have:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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
Familiarity with AI/ML concepts and tools (Copilot, Spark, Kafka)
Ability to work in fast-paced, mission-driven environments with cross-functional teams
Excellent communication skills and a growth mindset