Consulting Architect @ Tecton

INACTIVE

Full-Time

Consulting Architect

Posted on 12/8/2022

Tecton

51-200 employees

Feature platform for ML apps

Data & Analytics

Senior

New York, NY, USA

Required Skills

Bash

Python

Sales

Communications

Git

Apache Spark

SQL

AWS

Requirements

Excellent SQL skills and Production ML experience
Solid hands-on knowledge of Spark and Python
At least basic knowledge of: AWS, SDLC (CI/CD, Git, Shell/bash scripting)
Ability to manage competing priorities in a fast-paced environment
Strong desire to help customers achieve their desired goals with Tecton
Excellent communication skills

Responsibilities

Leverage technical expertise and customer-facing skills to engage and lead customers on their technical journey from close of sale, to activation, to production and beyond. You will typically be the lead consulting architect with multiple customer accounts at a time
Develop training materials and lead customer training and adoption
Work closely with Engineering, Sales, and Product Management to ensure customer needs are understood and appropriately prioritized
Create strong customer relationships with practitioners and executives to help turn their ML dreams into reality!
Mentor other team members in their technical and customer facing growth and development

Desired Qualifications

Experience working in a rapidly growing, early stage company
Prior consulting experience

At Tecton, we are on a mission to bring world-class Machine Learning to every product and customer experience. Tecton’s founders developed the first Feature Platform when they created Uber’s Michelangelo ML platform. In pursuit of bringing ML to every production application, we have since brought the leading commercial feature store to market and built the most popular open-source feature platform.

We are funded by Sequoia Capital and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has extensive years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Facebook, Airbnb, Twitter, and Quora, and we’re now bringing those same capabilities to every organization in the world.

Responsibilities

Leverage technical expertise and customer-facing skills to engage and lead customers on their technical journey from close of sale, to activation, to production and beyond. You will typically be the lead consulting architect with multiple customer accounts at a time.
Develop training materials and lead customer training and adoption
Work closely with Engineering, Sales, and Product Management to ensure customer needs are understood and appropriately prioritized
Create strong customer relationships with practitioners and executives to help turn their ML dreams into reality!
Mentor other team members in their technical and customer facing growth and development

Qualifications: Must Have

Excellent SQL skills and Production ML experience
Solid hands-on knowledge of Spark and Python
At least basic knowledge of: AWS, SDLC (CI/CD, Git, Shell/bash scripting)
Ability to manage competing priorities in a fast-paced environment
Strong desire to help customers achieve their desired goals with Tecton
Excellent communication skills

Nice to have:

Experience working in a rapidly growing, early stage company
Prior consulting experience

Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national original, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please contact us at [email protected]

Tecton

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Website

View Company Profile

Tecton's mission is to transform the way companies solve real-world problems with machine learning with their enterprise-ready feature platform. The platform enables ML teams to build great features, serves them to production quickly and reliably, and does it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights

Headcount

6 month growth

↑ 7%

1 year growth

↑ 35%

2 year growth

↑ 120%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO

INACTIVE