
Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building 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 AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can: 1. Productionize context faster, getting new models to production 80% faster 2. Build more accurate models through rapid data experimentation and 100% accurate context serving 3. Drive down production costs by turning expensive workloads into highly efficient data services We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.

Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building 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 AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can: 1. Productionize context faster, getting new models to production 80% faster 2. Build more accurate models through rapid data experimentation and 100% accurate context serving 3. Drive down production costs by turning expensive workloads into highly efficient data services We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.
Product: Enterprise feature platform / feature store for production ML (offline training + online serving)
Founding: Founded in 2019 by former Uber Michelangelo engineers (Mike Del Balso, Kevin Stumpf, Jeremy Hermann)
Funding: Raised $160,000,000 total (Series C $100M announced July 12, 2022)
Integrations: Integrates with Databricks, Snowflake, and Google BigQuery
Employees: ~180
Operationalizing ML features and the data layer for AI—making it easier to compute, manage, and retrieve production-ready data/context for models.
2019
Software Development
20000000
Company stated combined seed+Series A funding was reported at $25M at the time.
35000000
100000000
Series C brought reported total raised to $160M.
“Early/co-leads include Andreessen Horowitz and Sequoia Capital; Series C led by Kleiner Perkins with strategic participation from Snowflake and Databricks and additional investors including Tiger Global and Bain Capital Ventures.”
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At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting 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.
We are building Rift (talk, blog post) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.
As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.
Role This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure:
Responsibilities
Qualifications
The estimated US base salary range for this position is $ 176,000 - $ 210,000 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 is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month. 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.