Learning Manager @ Tecton

INACTIVE

Full-Time

Learning Manager

Tecton

51-200 employees

Feature platform for ML apps

Data & Analytics

Mid, Senior

United States

Requirements

3+ years in similar roles creating and delivering content
Customer-facing technical role (Consulting, Solution Architect, etc)
Strong interest in usability and customer experience
Tech skills above
Technical degree or work experience

Responsibilities

Build enablement strategy and create assets so new accounts and new users are able to onboard faster, more independently, and more efficiently
Make self-serve onboarding guides that allow customers to be less dependent on 1-1 assistance
Make simple reference content for each type of feature supported so it is easy for customers to discover what they need and self-enable
Improve existing training materials so customers get more value out of 1-1 Training
Ensure customers understand and use newly released features via re-usable material
Create assets so prospects are able to move independently, onboard, and test Tecton

At Tecton, we are on a mission to bring world-class Machine Learning to every product and customer experience. Tecton’s founders developed the first Feature Platform when they created Uber’s Michelangelo ML platform. In pursuit of bringing ML to every production application, we have since brought the leading commercial feature store to market and built the most popular open-source feature platform.

We are funded by Sequoia Capital and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has extensive years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Facebook, Airbnb, Twitter, and Quora, and we’re now bringing those same capabilities to every organization in the world.

Tecton’s Feature Platform is being implemented and used by both large brands and cutting-edge start-ups. The purpose of this role is to enable individuals from these great companies to prepare to effectively use Tecton to achieve their goals while reducing the amount of individual one on one help and training needed. To be successful in this role you have developed, guides, tutorials, training, and learning structure for a data engineering or similar audience. You are technical enough to use Tecton yourself and to train Machine Learning Engineers and Data Scientists independently.

Responsibilities

Build enablement strategy and create assets so new accounts and new users are able to onboard faster, more independently, and more efficiently
Make self-serve onboarding guides that allow customers to be less dependent on 1-1 assistance
Make simple reference content for each type of feature supported so it is easy for customers to discover what they need and self-enable
Improve existing training materials so customers get more value out of 1-1 Training
Ensure customers understand and use newly released features via re-usable material
Create assets so prospects are able to move independently, onboard, and test Tecton

Qualifications and Values

3+ years in similar roles creating and delivering content
Customer-facing technical role (Consulting, Solution Architect, etc)
Strong interest in usability and customer experience
Tech skills above
Technical degree or work experience

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 original, 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 application through to interview, please contact us at [email protected]

Tecton

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Tecton's mission is to transform the way companies solve real-world problems with machine learning with their enterprise-ready feature platform. The platform enables ML teams to build great features, serves them to production quickly and reliably, and does it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights

Headcount

6 month growth

↑ 7%

1 year growth

↑ 33%

2 year growth

↑ 123%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO

INACTIVE