Full-Time

Solutions Architect

Posted on 10/31/2025

Tecton

Tecton

51-200 employees

ML feature management and data pipelines

Compensation Overview

$195k - $269k/yr

+ Commission

Seattle, WA, USA + 3 more

More locations: San Francisco, CA, USA | Los Angeles, CA, USA | San Diego, CA, USA

Hybrid

Hybrid role: SF/NY in-office 2 days per week; Seattle in-office 2 days per month.

Category
Sales & Solution Engineering (1)
Required Skills
Microsoft Azure
Apache Spark
Machine Learning
Apache Kafka
AWS
Snowflake
Google Cloud Platform
Requirements
  • Technical Depth in Data and Machine Learning Ecosystems: Hands-on knowledge of ML/AI workflows, data pipelines, streaming and batch systems (e.g., Spark, Flink, Kafka, Snowflake), and cloud-native architectures (AWS, GCP, Azure).
  • Pre-Sales Account Management Expertise: Proven success winning technical evaluations and driving adoption within existing customers.
  • Solution Storytelling: Translate complex capabilities into clear business value.
  • Communication and Presence: Confident presenting to engineers, architects, and executives.
  • Collaboration: Partner effectively across teams and share reusable best practices.
  • Adaptability: Thrive in fast-changing, complex technical environments.
  • Customer Focus: Build trust quickly and prioritize customer success.
Responsibilities
  • Understand customer needs & win technical decisions: Assess customer architectures and ML ecosystems, lead discovery and evaluations, and demonstrate Tectons value to drive confident purchase decisions.
  • Enable adoption & scale: Guide customers through onboarding, expansion, and best practices to grow platform maturity and operational excellence.
  • Advance customer success: Monitor adoption trends, optimize usage, and identify opportunities for new use cases and expansion.
  • Amplify expertise: Deliver thought leadership through talks, workshops, and enablement while building reusable demos, playbooks, and reference architectures.
  • Champion the customer voice: Capture and share customer feedback to influence Tectons roadmap.
  • Represent Tecton externally: Engage with the broader data and ML ecosystem at meetups, events, and technical communities.

Tecton builds a feature management platform for machine learning. It helps teams discover, reuse, and govern ML features end-to-end, while tracking data pipelines, latency, costs, and the systems behind them. Users can design and define features in Python, SQL, or Spark inside notebooks or other Python environments, including complex transforms like time-window aggregations and training data backfills. The platform supports near real-time streaming, updating metrics such as mean transaction values over multiple windows every few minutes. Compared with competitors, Tecton emphasizes clear feature governance, visibility into data pipelines and costs, and a unified workflow for feature engineering across the analytics stack. The goal is to streamline the creation, deployment, monitoring, and management of ML features so teams can deploy reliable models faster and with better data quality.

Company Size

51-200

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks $900M acquisition integrates Tecton into Lakehouse for AI agents.
  • KES joint venture with CES expands satellite data services in Kazakhstan.
  • Google Cloud partnership accelerates enterprise ML-powered applications.

What critics are saying

  • Databricks halts Tecton roadmap, forcing Lakehouse migration in 6-12 months.
  • Feast open-source captures mid-market, eroding Tecton's premium pricing.
  • Databricks sunsets standalone Tecton product within 18-24 months.

What makes Tecton unique

  • Tecton unifies feature definition, management, and serving for production ML.
  • Supports Python, SQL, Spark with real-time streaming and time-window aggregations.
  • Provides sub-10ms latency and point-in-time correctness for consistent training.

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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

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-1%

2 year growth

5%
CES
Apr 3rd, 2026
CES and Tecton establish joint venture 'KES' and open office in Kazakhstan.

CES and Tecton establish joint venture 'KES' and open office in Kazakhstan. * 1 day ago CES Co., Ltd. and Kazakhstan-based company Tecton have established a joint venture, Kazakhstan Earth Services (KES), to expand satellite data services in Central Asia. The office opening ceremony was held on April 2 in Kazakhstan, marking an important milestone in strengthening regional cooperation and advancing satellite data applications in the region.

iTnews
Aug 25th, 2025
Databricks to buy Tecton in AI agent push

Databricks to buy Tecton in AI agent push.

WebProNews
Aug 25th, 2025
Databricks Acquires Tecton in $900M Deal to Boost Real-Time AI

Databricks has acquired Tecton, a machine-learning startup valued at $900 million, to enhance real-time data processing for AI agents.

SSBCrack News
Aug 23rd, 2025
Databricks Acquires Tecton for $900M

Databricks, valued at over $100 billion, has acquired Tecton, a feature store startup valued at $900 million, to enhance its AI infrastructure. This acquisition addresses deployment challenges by integrating Tecton's real-time feature storage into Databricks' Lakehouse Platform, reducing model deployment time. Tecton had raised $160 million from investors like Kleiner Perkins. The MLOps sector is seeing significant investment, with $4.5 billion in 2024 and projections of $6 billion in 2025.

Tech in Asia
Aug 23rd, 2025
Databricks to buy A16z-backed machine learning startup Tecton

Founded in 2020 by former Uber engineers, Tecton has raised US$160 million from investors including Sequoia Capital, Kleiner Perkins, Andreessen Horowitz, and Bain Capital Ventures.

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