Engineering Manager • Senior

Who you are

You have 5+ years of experience in engineering management, particularly in AI and machine learning domains — you've successfully led teams that develop and deploy complex AI solutions at scale. Your background includes a strong technical foundation in Python and SQL, allowing you to engage deeply with your team's work and guide architectural decisions effectively.

You thrive in collaborative environments, fostering innovation and creativity among your team members — you understand the importance of balancing foundational research with practical engineering to deliver impactful solutions. Your leadership style emphasizes mentorship and growth, helping your team members reach their full potential while achieving project goals.

You possess a solid understanding of cloud technologies, particularly AWS, and have experience with containerization and orchestration tools like Docker and Kubernetes — you know how to leverage these technologies to build scalable and reliable systems. Your expertise in microservices architecture enables you to design systems that are both efficient and maintainable.

Desirable

Experience with Elasticsearch and data pipelines is a plus, as you will be working on projects that require efficient data handling and retrieval — familiarity with AI frameworks and libraries will also enhance your ability to contribute to the team's research initiatives.

What you'll do

As the Senior Engineering Manager for Cortex AI Functions, you will lead a talented team responsible for developing and deploying cutting-edge AI technologies — your role will involve guiding the team in designing new model architectures and training strategies while ensuring that these innovations are seamlessly integrated into the Snowflake platform.

You will oversee the engineering efforts that bring these AI advancements to life, focusing on building high-performance serving layers and microservice architectures that operate at enterprise scale — your leadership will be crucial in establishing reliability frameworks that ensure predictable latency and governance.

Collaboration is key in this role; you will work closely with cross-functional teams, including researchers and product managers, to align engineering efforts with business objectives — your ability to communicate effectively across disciplines will help drive the success of your projects.

You will also be responsible for mentoring and developing your team members, fostering a culture of continuous learning and improvement — your guidance will help them navigate challenges and grow their skills in AI and engineering.

What we offer

At Snowflake, we offer a dynamic work environment where innovation is at the forefront of everything we do — you will have the opportunity to work on groundbreaking AI technologies that are redefining the industry. We value collaboration and encourage our employees to challenge ordinary thinking while pushing the pace of innovation.

We provide competitive compensation and benefits, along with opportunities for professional growth and development — you will be part of a team that is committed to making a significant impact in the world of enterprise AI. Join us in building a future where technology empowers enterprises to achieve their full potential.