Consulting Architect

Commercial Accounts, Sf, NY, Remote

Confirmed live in the last 24 hours

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Bash

Git

Sales

SQL

Python

Communications

Requirements

Good SQL skills and experience with Data Pipelines
At least basic knowledge of: Hands on ML, Spark, Python, a public cloud, 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

Must Have

Good SQL skills and experience with Data Pipelines
At least basic knowledge of: Hands on ML, Spark, Python, a public cloud, 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]

11-50 employees

Website

Feature platform for ML apps

Company Overview

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.

Benefits

Comprehensive health plans
Remote-friendly work environment
Parental leave
Competitive salary, equity and 401(k) savings plans
Wellbeing benefits
Flexible PTO

Company Core Values

We are one team
We are doers
We are leaders