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Full-Time

Solutions Architect

Pre-Sales, Pst/Mst

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Platform for managing ML features and pipelines

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 defining features using Python, SQL, or Spark. The platform supports real-time data processing, allowing businesses to analyze data as it comes in. Tecton aims to simplify feature management for companies that rely on ML and AI, setting itself apart with its focus on comprehensive pipeline management.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

15%

1 year growth

21%

2 year growth

88%
Simplify Jobs

Simplify's Take

What believers are saying

  • Tecton's recent $100M Series C funding round, led by prominent investors like Kleiner Perkins and Sequoia Capital, indicates strong financial backing and growth potential.
  • The partnership with Google Cloud opens up new avenues for enterprise adoption, making it easier for companies to integrate Tecton's platform into their existing workflows.
  • Tecton's focus on real-time data processing and complex transformations makes it a valuable asset for companies looking to leverage advanced ML capabilities.

What critics are saying

  • The competitive landscape in ML and AI is fierce, with giants like AWS and Azure potentially overshadowing Tecton's market presence.
  • High dependency on partnerships, such as with Google Cloud, could pose risks if these alliances were to dissolve.

What makes Tecton unique

  • Tecton specializes in end-to-end feature management for ML, a niche that is often overlooked by broader AI and ML platforms.
  • Their platform's ability to handle complex data transformations and real-time streaming sets them apart from competitors who may not offer such advanced capabilities.
  • Partnerships with industry giants like Google Cloud enhance Tecton's credibility and provide a robust ecosystem for their clients.

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO