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About the job
Overview:
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.
The Collaboration team is about focusing on the needs of larger enterprise customers and enabling them to leverage the full potential of a Feature Platform. We make it easy for enterprise customers to manage, administer, and collaborate in the Tecton environment while meeting their security, compliance, and budgetary needs.
Responsibilities
- Primary ownership of building Tecton’s identity management, access control, and data governance that protect the most sensitive data of our customers
- Building out new capabilities for organizing, governing, and sharing features, audit logging, consumption measurement, and usage analytics
- Partnering with other teams to integrate the above with other Tecton capabilities
Qualifications
- An engineer with 5+ years of backend experience (ex., Kotlin, Java, Python, Go, etc.) in Software Engineering
- Passion for building delightful products and end-user UX
- Excellent communication skills
- Preferred: Data infrastructure (Kubernetes, Terraform, etc.) and cloud (AWS, GCP, Azure) experience
- Preferred: Internal analytics experience
- Preferred: Auth and Access control systems experience
- Preferred: B2B SaaS and enterprise features experience
- Preferred: Full stack experience
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