Software Engineer, Tecton

Feature Engineering

$165-201k

+ Equity; Salary applicable to CA and NY based candidates only and may vary by other locations

SQL

Python

Java

Kotlin

Mid and Senior level

New York

San Francisco Bay Area

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

$165-201k

+ Equity; Salary applicable to CA and NY based candidates only and may vary by other locations

SQL

Python

Java

Kotlin

Mid and Senior level

New York

San Francisco Bay Area

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

4+ years of experience in building product software systems
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

What the job involves

As a member of our Feature Engineering team, you will design and build the implementation of Tecton’s core Feature Engineering SDK, APIs, and developer toolkit. Feature Engineering owns the abstractions and APIs used to build sophisticated ML pipelines used by thousands of developers
You’ll be working on the “hot path” of Tecton’s UX
You’ll partner with Product and Design teams to build capabilities used by customers ranging from Fortune 100s to startups accelerating their path to real-time AI
Own and lead large technical domains spanning developer-centric APIs, Python SDKs, and CLIs starting from the problem definition and technical requirements along with implementation and maintenance
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

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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