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Head of Engineering

Quick Facts

Founded: September 2020

Focus: Machine learning model serving & monitoring

Funding: Series A (Redpoint Ventures)

Team: 12 Eng: 10

Overview

As enterprises adopt machine learning, the pain of putting models into production has become acute. Data scientists are comfortable working with data locally, but deploying ML models in the cloud is harder, requiring scalable services built with Docker, Kubernetes, and AWS -- well outside their expertise. Aqueduct is an open-source project that automates ops for data scientists, enabling them to move faster, build better models, and deliver more value. Aqueduct automatically deploys models, helps monitor them in production, and generates feedback for data scientists to improve over time. Our solution increases efficacy and reduces tiresome ops work.

Technology

Aqueduct builds on a years of research from the UC Berkeley RISE Lab. Our team built a best-in-class serverless platform, supporting low-latency function invocation, efficient caching, and smart scheduling. We leverage that serverless technology to simplify operations and improve efficiency for production ML.

Your Role

As the first engineering leader at Aqueduct, you will be integral in building our product to revolutionize how machine learning is deployed. At the core of our product is a serverless platform, which improves performance and increases efficiency for both CPU- and GPU-based model deployments with carefully designed container infrastructure, scheduling techniques, and autoscaling policies. Additionally, we are building a seamless developer experience (UI & Python SDK) that simplifies data scientists’ workflows.

As Head of Engineering, you will report to the CEO and collaborate closely with our team of top engineers. We are looking for someone who is excited about our vision, opinionated about engineering processes, and passionate about well-designed software. You will be responsible for:

  • Recruiting: Recruit a high caliber engineering team to match the business opportunity.
  • Execution: Predictably deliver a high quality, reliable product that meets customer needs.
  • Team Development: Ensure high performance and progression for engineers and leaders.
  • Culture: Create a learning environment where the team delivers on ambitious goals and operates with humility, respect, and trust.
  • Engineering practices: Incorporate industry-standard best practices for CI/CD, security, etc.
  • Collaboration: Work closely with VP of Product and CTO on product priorities and system design.

Founding Team

The founders are Vikram Sreekanti (CEO), Chenggang Wu (CTO), Joey Gonzalez (VP Product), Joe Hellerstein (Chief Scientist).

We are backed by Redpoint Ventures, the Data Community Fund, the House Fund, Pete Skomoroch, and other top Silicon Valley investors.