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Full-Time

Engineering Manager

Feature Engineering

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Machine learning feature platform with data pipelines

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$200k - $250kAnnually

Senior, Expert

Remote in USA

Category
Engineering Management
Software Development Management
Required Skills
Python
Communications
Requirements
  • 7+ years of software engineering experience for high-scale products or infrastructure
  • 3+ years of experience working on ML engineering or developer-centric platforms
  • 2+ years of people management experience for a group of engineers
  • Passion for Product and building intuitive, high-quality developer tooling, APIs, and DSLs
  • Experience with Batch and Streaming Data Pipelines
  • Strong communication and ability to write detailed technical specifications
  • Excitement about coaching and mentorship of engineers
  • Experience working on large Python projects (Nice-to-have)
  • Experience working with versioned APIs and client backward compatibility (Nice-to-have)
Responsibilities
  • Leading, and coaching a talented engineering team ranging from junior to staff-level engineers
  • Building product and infrastructure for Tecton’s Feature Engineering frameworks and enabling customer adoption of new features
  • Recruiting top-tier engineering talent, building an organized and sustainable team, and partnering with internal and external stakeholders
  • Partnering with cross-functional teams to build product vision and strategy
  • Efficiently executing on an aggressive product roadmap by building new features and managing technical debt levels

Tecton is distinguished by its comprehensive platform that supports the intricate requirements of machine learning, with robust capabilities in automating and centralizing production-ready data pipelines across batch, streaming, and real-time data processing. This focus on advanced data handling and support for multiple technologies including SQL, PySpark, SnowPark, and Python, positions the company as a leader in the machine learning infrastructure space. Working here offers a dynamic environment where employees are at the forefront of technological advancements, contributing to developments that shape the future of machine learning applications.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

16%

1 year growth

15%

2 year growth

84%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO