Member of Technical Staff - Backend Growth Engineer

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Microsoft AI is looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Growth engineering team is responsible for user acquisition, engagement, retention, and feature development that drives rapid growth, while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results.

Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building mobile app backend applications with coding in languages including, but not limited to, C#, Python, C++, Rust, Java, Golang, Ruby
  • OR equivalent experience.
• 5+ years' experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework.
• 5+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
• 5+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.

Preferred Qualifications:

• Previous experience in growth engineering or a growth-oriented role is strongly preferred. Demonstrated success in driving key growth metrics, including acquisition, engagement, and retention. A data-driven engineer who can provide concrete examples of initiatives you’ve built and shipped. Past growth achievements will be considered during the application process.
• Experience working with AI platforms, frameworks, and APIs.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

#Copilot

• Build secure and performant APIs that power Copilot iOS and Android apps.
• Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement.
• Embody our Culture and Values.