About the job
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 a member of our Feature Engineering team, you will design and build the implementation of Tecton’s core Feature Engineering SDK, APIs, and developer toolkit. Feature Engineering owns the abstractions and APIs used to build sophisticated ML pipelines used by thousands of developers. You’ll be working on the “hot path” of Tecton’s UX. You’ll partner with Product and Design teams to build capabilities used by customers ranging from Fortune 100s to startups accelerating their path to real-time AI.
Responsibilities
The estimated US base salary range for this position is $189,000 - $237,000 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.
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 a member of our Feature Engineering team, you will design and build the implementation of Tecton’s core Feature Engineering SDK, APIs, and developer toolkit. Feature Engineering owns the abstractions and APIs used to build sophisticated ML pipelines used by thousands of developers. You’ll be working on the “hot path” of Tecton’s UX. You’ll partner with Product and Design teams to build capabilities used by customers ranging from Fortune 100s to startups accelerating their path to real-time AI.
Responsibilities
- Own and lead large technical domains spanning developer-centric APIs, Python SDKs, and CLIs starting from the problem definition and technical requirements along with implementation and maintenance
- Lead multi-engineer projects creating capabilities, APIs, and workflows to support common real-time ML use cases like RecSys and Fraud Detection
- Drive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineers
- Develop a deep understanding of the fundamental problems our customers face in building ML systems
- Build core user workflows to support that path from feature development, and iterative model training, to production feature serving
- Reinforce Tecton’s “Fast, but Focused” core value
- 6+ years of experience in building product software systems
- 2+ years of technical leadership experience for a group of engineers
- Experience working in large Python, Java, Kotlin, or Go codebases
- 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
- BS , MS or PhD in Computer Science or related fields
The estimated US base salary range for this position is $189,000 - $237,000 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.
