Software Engineer, Tecton

Platform

$216-258k

Salary applies to NY and CA only +Offers competitive equity

SQL

AWS

Docker

Kubernetes

Python

Java

Kotlin

Senior and Expert level

New York

San Francisco Bay Area

Toronto

Remote from US

The feature platform for machine learning

Job no longer available

The feature platform for machine learning

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Job no longer available

$216-258k

Salary applies to NY and CA only +Offers competitive equity

SQL

AWS

Docker

Kubernetes

Python

Java

Kotlin

Senior and Expert level

New York

San Francisco Bay Area

Toronto

Remote from US

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Company mission

To transform the way companies solve real-world problems with machine learning.

Job

Company

Role

Who you are

7+ 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 and running cloud-native production systems using Kubernetes, AWS, and Docker
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
Excitement about coaching and mentorship of junior engineers
BSc, MS, or PhD in Computer Science or related fields

What the job involves

As a staff-level engineer building Tecton platform team, you’ll play a critical role in architecting, designing, and scaling our Tecton’s platform-level building blocks for building the next generation of accessible ML infrastructure
Architecting APIs and abstractions over multiple cloud, storage, and compute platforms
Building platforms that enable modular development and testing
Transitioning Tecton’s control plane toward a multi-tenant architecture
Explainability and debugging as a first-class property of every layer of the stack
Fleet management and optimizations for hundreds (and eventually thousands) of Tecton deployments
Partnering with Security on org-wide data privacy and security measures
Own and lead large technical domains starting from the problem definition and technical requirements along with implementation and maintenance
Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including design, product management, and other engineering teams
Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
Develop a deep understanding of the fundamental problems our customers face in building ML systems
Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile
Reinforce Tecton’s “Fast, but Focused” core value

Our take

Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.

As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.

Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

17% female employees

33% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 4 rounds)

Jul 2022

$100m

SERIES C

Dec 2020

$35m

SERIES B

Total funding: $160m

Company benefits

Comprehensive health plans = Our health plan options give you the flexibility to select the right coverage for you and your family. We cover 100% for employees and 80% for dependents
Remote-friendly work environment - We are remote-friendly and make it easy for our people to be in the office if they want to be
Parental leave - We offer 8-16 weeks of paid leave to spend quality time with family
Competitive salary, equity and 401(k) savings plans - We offer meaningful compensation and equity packages that reflect our commitment to hire the best talent
Wellbeing benefits - We provide a range of benefits that holistically support your physical, mental, and financial wellbeing
Flexible time off - There is life outside of work. Our flexible policy means every employee is encouraged to take the time they need to rest and rejuvenate

Company HQ

Mid-Market, San Francisco, CA

Leadership

Mike Del Balso

(CEO)

Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.

Kevin Stumpf

(CTO)

MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.

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