logo inner

Engineering Manager, Compute

TectonNy / Seattle, United States | Wa / San Francisco, California, United StatesRemote, Onsite
This job is no longer open
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.


  • 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


  • 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

$200,000 - $250,000 a yearThe estimated US base salary range for this position is $200,000 - $250,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Apply for this job

This job is no longer open

Life at Tecton

Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company. Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But ML models will only ever be as good as the data that is fed to them. Today, it's incredibly hard to build and manage ML data. Most companies don't have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production. We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.
Thrive Here & What We Value1. Diversity and equal opportunity employment2. Comprehensive benefits package (medical, dental, vision, life insurance, 401(k), flexible paid time off, eight paid holidays annually, sick leave, FMLA-compliant leaves)3. Global team with offices in San Francisco and New York City4. Venture capital funding from Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, Snowflake, Databricks5. Emphasis on innovation and technical expertise
Your tracker settings

We use cookies and similar methods to recognize visitors and remember their preferences. We also use them to measure ad campaign effectiveness, target ads and analyze site traffic. To learn more about these methods, including how to disable them, view our Cookie Policy or Privacy Policy.

By tapping `Accept`, you consent to the use of these methods by us and third parties. You can always change your tracker preferences by visiting our Cookie Policy.

logo innerThatStartupJob
Discover the best startup and their job positions, all in one place.
Copyright © 2024