Full-Time

Solutions Architect

Pre-Sales, Pst/Mst

Posted on 6/28/2024

Tecton

Tecton

51-200 employees

Platform for managing machine learning features

Data & Analytics
AI & Machine Learning

Compensation Overview

$195k - $302kAnnually

Mid

Remote in USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Sales
Communications
Apache Spark
SQL
AWS
Data Analysis
Snowflake
Requirements
  • 4+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and/or machine learning)
  • Deep technical understanding of data and ML tooling, workflows, and trends in enterprise setting
  • Proficiency in Python, Spark, and/or SQL with experience developing ETL applications
  • Excellent communication and presentation skills, with comfort in objection handling
  • Hands-on experience with AWS
  • Databricks and/or Snowflake experience a plus
Responsibilities
  • Partner with Account Executives to qualify mutually successful opportunities and guide the opportunity through a successful technical win
  • Develop and lead the technical strategy of an account from prospect to deal closure, along with a path to implementation success
  • Tailor customer presentations, demos, and managed trials that map to the discovered requirements for the customer
  • Proactively identifying potential blockers and circumventing or developing alternate paths toward a solution
  • Nurture relationships, building technical champions within accounts
  • Active participant in driving product feedback, influencing the future of Tecton products

Tecton offers a platform for managing machine learning (ML) features, which are key characteristics used in ML models. Users can discover, utilize, and monitor feature pipelines while designing features using Python, SQL, or Spark. The platform supports real-time data processing and complex transformations, making it easier for companies in tech, finance, and e-commerce to implement ML. Tecton aims to streamline feature management, setting itself apart from competitors by focusing specifically on this aspect of machine learning.

Company Stage

Series C

Total Funding

$155.6M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

1%

1 year growth

7%

2 year growth

57%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Google Cloud enhances Tecton's cloud-native feature store capabilities.
  • Rising demand for real-time data processing boosts Tecton's market potential.
  • Series C funding of $100M strengthens Tecton's financial position for growth.

What critics are saying

  • Increased competition from feature store providers like Feast and Hopsworks.
  • Over-reliance on Google Cloud partnership may limit flexibility.
  • Rapid AI advancements could outpace Tecton's current offerings.

What makes Tecton unique

  • Tecton offers an enterprise-ready feature store for scalable machine learning applications.
  • The platform supports Python, SQL, and Spark for designing ML features.
  • Tecton enables real-time data processing and complex data transformations.

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Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO

INACTIVE