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Full-Time

Technical Documentation Lead

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Platform for managing ML features and pipelines

Data & Analytics
AI & Machine Learning

Compensation Overview

$121.5k - $171kAnnually

Senior, Expert

Remote in USA

Category
Technical Writing
Content & Writing
Required Skills
Data Science
Requirements
  • 5+ years in Technical Writing, or similar technical roles (e.g. Product Management, Data Science, Engineering)
  • 2+ years in Technical Writing for Data Products or Cloud Platforms.
  • Mastery of technical writing tools and style: consistent voice, straightforward and lively style, and understanding of the rules of grammar and usage.
  • Understanding of information architecture concepts and how to apply them to a constantly changing website.
  • In-depth knowledge of the content development lifecycle, including: understanding the information needs of the audience, gathering information, and reviewing feedback.
  • Strong project management skills. You strive in a self-directed environment, and now how to engage cross-functional peers to accomplish joint outcomes.
  • Proficiency in documentation-as-code workflows.
  • Python & SQL familiarity at the level needed to author and test sample Tecton code.
  • Experience using AI to produce high quality technical content.
Responsibilities
  • Own the vision & strategy for Tecton’s documentation. Show us what greatness is, and how we’re going to get there.
  • Deeply understand our customers’ learning journey with Tecton. Identify and prioritize improvements so that they learn and get to value faster.
  • Define and measure the impact of great documentation.
  • Enable subject matter experts from across the organization to make high-quality contributions to our docs.
  • Directly craft high quality written content for the most important pages and assets.

Tecton offers a platform for managing machine learning (ML) features, which are key attributes used in ML models. Users can discover, utilize, and monitor feature pipelines while defining features using Python, SQL, or Spark. The platform supports real-time data processing, allowing businesses to analyze data as it comes in. Tecton aims to simplify feature management for companies that rely on ML and AI, setting itself apart with its focus on comprehensive feature governance and real-time capabilities.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

12%

1 year growth

12%

2 year growth

82%
Simplify Jobs

Simplify's Take

What believers are saying

  • Tecton's recent $100M Series C funding round, led by prominent investors like Kleiner Perkins and Sequoia Capital, indicates strong financial backing and growth potential.
  • The partnership with Google Cloud opens up new avenues for enterprise adoption, making it easier for companies to integrate Tecton's platform into their existing workflows.
  • Tecton's focus on real-time data processing and complex transformations makes it a valuable asset for companies looking to leverage advanced ML capabilities.

What critics are saying

  • The competitive landscape in ML and AI is fierce, with giants like AWS and Azure potentially overshadowing Tecton's market presence.
  • High dependency on partnerships, such as with Google Cloud, could pose risks if these alliances were to dissolve.

What makes Tecton unique

  • Tecton specializes in end-to-end feature management for ML, a niche that is often overlooked by broader AI and ML platforms.
  • Their platform's ability to handle complex data transformations and real-time streaming sets them apart from competitors who may not offer such advanced capabilities.
  • Partnerships with industry giants like Google Cloud enhance Tecton's credibility and provide a robust ecosystem for their clients.

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO