Simplify Logo

Full-Time

Software Engineer

Feature Engineering

Posted on 6/27/2024

Tecton

Tecton

51-200 employees

Platform for managing ML features and pipelines

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$189k - $237kAnnually

Senior, Expert

Remote in USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kotlin
Python
NoSQL
SQL
Java
Requirements
  • 6+ years of experience in building product software systems
  • 2+ years of technical leadership experience for a group of engineers
  • Experience working in large Python, Java, Kotlin, or Go codebases
  • Experience with distributed systems, SQL, and NoSQL databases
  • Bias to action and passion for delivering high-quality solutions
  • Strong communication and ability to write detailed technical specifications
  • BS , MS or PhD in Computer Science or related fields
Responsibilities
  • Own and lead large technical domains spanning developer-centric APIs, Python SDKs, and CLIs
  • Lead multi-engineer projects creating capabilities, APIs, and workflows to support common real-time ML use cases like RecSys and Fraud Detection
  • Drive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineers
  • Develop a deep understanding of the fundamental problems our customers face in building ML systems
  • Build core user workflows to support that path from feature development, and iterative model training, to production feature serving
  • Reinforce Tecton’s “Fast, but Focused” core value

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

14%

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

INACTIVE