At Tecton, we are on a mission to bring Machine Learning and AI to every customer and product interaction on the planet. We build an enterprise-grade, world-class Feature Platform – the infrastructure that powers real-time ML applications and systems in production.
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.
Why you should take this role:
Tecton is the industry's leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block, and Coinbase.
By taking on this role, you will be responsible for bringing Tecton's existing technology foundation to our customers' GenAI use cases. The field is evolving quickly and you'll need to be on your toes, and deeply immersed in the GenAI space. You will expand Tecton's offering into a versatile platform that can power diverse GenAI use cases such as hosting RAG applications, using LLMs to extract features, generating historical training data to fine-tune enriched prompts, and powering agentic workflows with tools.
Separately, you will be responsible for managing Tecton's multi-cloud offering.
You will work directly with ML Platform teams & use case teams. This will expose you to the bleeding edge of production AI applications that have 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 more.
You will directly contribute significant revenue opportunities by unlocking new use cases for our customers.
Detailed Responsibilities:Own the strategy and roadmap for making Tecton the best platform to power predictive ML and generative AI use cases.Drive Tecton's growth on GCP, our latest supported cloud offering.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: Must have:5+ years of combined SWE or Product Management experience.2+ years of Product Management experience.6+ months of hands-on experience building GenAI applications.2+ years of experience building either user experiences for technical products that cater to ML Engineers or Data Engineers OR applied ML applications.Comfortable interfacing directly with enterprises.Qualifications: Nice-to-have:Experience working in a startup environment.2+ years experience building product for Enterprise customers. $176,000 - $240,000 a year
The estimated US base salary range for this position is $176,000 - $240,000 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.
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