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.Tecton is the industry’s leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Block, Coinbase, and Roblox.By taking on this role, you will be responsible for the most important part of Tecton: The core interfaces and capabilities that our primary end users (Data Scientists and ML Engineers) use every day to drive success with AI in their companies.You will interact with ML Platform teams & use case teams.
This will expose you to the bleeding edge of production AI applications that have an immediate impact on our customers’ bottom lines. You will learn how ML is applied across use cases as varied as recommendation systems, search ranking, fraud detection, anti-money laundering, price predictions, safety predictions, personalization, credit underwriting, and much much more.Further, Tecton is actively expanding beyond Predictive ML and building a unified Data Platform for AI. In this role, you will be in a unique position to help devise a platform that caters to the MLE and DS needs to develop & productionize predictive and generative AI applications.You will directly contribute significant revenue opportunities by unlocking new use cases for our customers.
Responsibilities
- Own the strategy and roadmap for making Tecton the most developer-friendly platform for ML Engineers and Data Scientists
- Own the strategy and roadmap for Tecton’s Web-UI
- Own the strategy and roadmap to make Tecton’s Product Documentation both comprehensive and approachable
- Work closely with customers & engineers to launch impactful new capabilities at a rapid pace
- Partner with Product Marketing to educate the market on why Tecton is a clear choice for predictive AI and generative AI use cases
Qualifications
- 5+ years of Product Management experience
- 2+ years of experience building user experiences for technical products that cater to DS and/or ML Engineers
- 2+ years of experience of applied ML applications
- Comfortable interfacing directly with high-value accounts
- 2+ years of experience building products for Enterprise customers
Nice-to-have
- Experience working in a startup environment
$153,000 - $215,000 a yearThe estimated US base salary range for this position is $153,000 - $215,000 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.
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