Tecton

Help us build the future of enterprise ML

careers-hero@2x

Engineering Manager, Product

San Francisco, CA, Full-time

About Tecton

At Tecton, we are building an enterprise Feature Store that is transforming the way companies solve real-world problems with machine learning at scale. Our founding team created Uber's Michelangelo ML Platform, which has become the blueprint for modern ML platforms in large organizations. We recently received Series B funding from Sequoia Capital and Andreessen Horowitz, have paying enterprise customers, and have growing teams in SF and NYC. The team has years of experience building and operating business-critical machine learning systems at scale at places like Uber, Google, Facebook, Airbnb, Twitter, and Quora.

The Product Engineering team owns every surface of Tecton that users interact with. The team is focused on crafting a fantastic experience for users of the product, ranging from data scientists to ML infrastructure teams. The team's success is tied to enabling new and novel feature engineering use cases with elegant APIs and interfaces, combined with functionality that's needed for ML to be adopted at scale within organizations.

As an Engineering Manager on the Product Engineering team, you will lead a team of 3-6 engineers with plenty of opportunities to grow with the company. We are looking for ambitious and empathetic engineering leaders that thrive in startup environments in which no day looks like the other.

Role & Responsibilities

  • Foster a team culture of ownership, radical candor, and customer obsession
  • Serve in a cross-functional role supporting other business units
  • Work closely with Product Managers to deliver an ambitious product roadmap
  • Cultivate and manage a high-performance engineering team that owns core components of our data infrastructure
  • Provide hands-on technical management, guidance, and support to a high-output team
  • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
  • Drive engineering best practices and lead by example
  • Demonstrate a bias to action and drive to get things done
  • Manage team project execution to ensure predictable team velocity and product roadmap alignment
  • Ensure team members are being challenged and growing towards their career goals

Preferred Qualifications

  • 6+ years of professional software engineering experience
  • 2+ years experience managing a team of 3+ engineers
  • BS/MS/PhD in Computer Science or a related field
  • Experience with data science tooling such as Pandas, TensorFlow, and PyTorch
  • Experience with building large scale distributed systems
  • Hands-on experience with AWS and all of its prominent services
  • Experience with large scale data processing systems like Apache Spark and Snowflake
  • Previous experience working on product and infrastructure components of big data platforms
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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​