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Engineering Manager, Compute

Tecton

Saas

51-200

San Francisco, CA, USA

About the job

Overview:

At Tecton, we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts away the complex engineering to speed up innovation.
Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
As an Engineering Manager on our Compute team, you will play a critical role in shaping the team’s strategic direction and implementation of Tecton’s core compute foundation, which includes our native compute engine, Rift, and deep integrations with platforms such as Spark and Snowflake. Think of it as the “beating heart” of Tecton. Your leadership and technical expertise will directly influence Tecton’s storage and compute architecture. This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation. You’ll partner with Product, Design, and Marketing, and Field teams to define the roadmap that helps companies ranging from Fortune 100s to startups accelerate their path to real-time AI.
Responsibilities

Building and scaling Tecton’s Rift compute engine across multiple cloud providers
Deep Integrations with Spark (e.g. Databricks, EMR, Dataproc) and Data Warehouses (e.g. Snowflake, BigQuery and Redshift)
Performant training data computation pipelines from offline stores
Orchestration platform responsible for reliably and performantly managing compute workloads
Data engineering for key-value stores and data lakes

Key Responsibilities

Leading, and coaching a talented engineering team ranging from junior to staff-level engineers
Building product and infrastructure for Tecton’s Compute platform and enabling customer adoption of new features
Recruiting top-tier engineering talent, building an organized and sustainable team, and partnering with internal and external stakeholders
Partnering with cross-functional teams to build product vision and strategy
Efficiently executing on an aggressive product roadmap by building new features and managing technical debt levels

Qualifications

7+ years of software engineering experience for high-scale products or infrastructure
2+ years of people management experience for a group of engineers
Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker
Product and user-first mindset with attention to UX detail
Experience with distributed systems, SQL, and NoSQL databases
Bias to action and passion for delivering high-quality solutions
Strong communication and ability to write detailed technical specifications
Excitement about coaching and mentorship of junior engineers