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E2B

AI Agent Infrastructure · San Francisco, California, USA / Remote

Matrix Employer Score™

94.64

High confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
Medium Confidence
92
3 evidence items
View evidence

Supporting signal

Developer AI Adoption & Production Impact

Developer AI Adoption & Production Impact

Medium Confidence

Oct 9, 2026

E2B's Genspark case describes agent sessions using isolated Firecracker microVMs for code execution, package installation, browsing and persistent multi-step work; the named customer CTO reports scaling to thousands of concurrent sessions.

Source: E2B / Genspark caseprimaryOpen source ↗

Developer AI Adoption & Production Impact

Medium Confidence

Oct 7, 2026

E2B's Replicas customer case reports more than 60% lower latency for heavy customer workloads after switching to E2B, using snapshots of prepared repositories, dependencies and development environments.

Source: E2BCompanyOpen source ↗

Agent Sandbox Adoption

Medium Confidence

Sep 26, 2026

E2B sandboxes are used by developers to execute code and tools safely for AI agents in production workflows.

Source: E2BCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
AI Leadership
High Confidence
95
3 evidence items
View evidence

Supporting signal

AI Developer Platform Leadership

AI Developer Platform Leadership

High Confidence

Oct 7, 2026

E2B's JavaScript SDK reference documents pausing a sandbox and reconnecting by sandbox ID, automatically resuming a paused sandbox and permitting access from different execution environments. This supplies a concrete persistent session lifecycle mechanism beyond generic isolated execution.

Source: E2B official materialCompanyOpen source ↗

Agent Sandbox Infra

High Confidence

Sep 26, 2026

E2B develops isolated cloud execution environments and sandbox infrastructure designed for AI agents.

Source: E2BCompanyOpen source ↗

AI Developer Platform Leadership

High Confidence

Sep 26, 2026

E2B develops isolated cloud execution environments and sandbox infrastructure designed for AI agents.

Source: E2BCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Employer Strength
Medium Confidence
93
3 evidence items
View evidence

Supporting signal

Developer Ecosystem Employer Strength

Developer Ecosystem Employer Strength

Medium Confidence

Oct 9, 2026

E2B released Embed as an Apache-2.0 single-machine sandbox product with Docker Compose, Terraform AWS/GCP and Kubernetes installation paths, a dashboard and OpenTelemetry export, adding a concrete delivered operational product beyond funding.

Source: E2BprimaryOpen source ↗

Developer Ecosystem Employer Strength

High Confidence

Oct 7, 2026

E2B announced $21 million Series A led by Insight Partners with Decibel, Sunflower Capital and Kaya participating. This completed financing is independent of generic sandbox isolation and production-reliability capability.

Source: E2BCompanyOpen source ↗

Developer Infra Execution

Medium Confidence

Sep 26, 2026

E2B operates a developer infrastructure service requiring secure isolation, orchestration and production reliability.

Source: E2BCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
Market Transferability
High Confidence
97
3 evidence items
View evidence

Supporting signal

Software & AI Engineering Transferability

Software & AI Engineering Transferability

High Confidence

Oct 7, 2026

E2B builds the secure microVM sandbox runtime used by AI agents, with more than 1B sandboxes started, 100K+ teams and 94 Fortune 100 companies signed up; engineering spans low-level virtualization, distributed infrastructure, sandbox orchestration, SDK/developer experience and production agent infrastructure.

Source: E2B CareersCompany CareersOpen source ↗

Systems Agent Portability

High Confidence

Sep 26, 2026

Cloud sandboxing, security, distributed systems and agent infrastructure skills transfer broadly across AI platforms.

Source: E2BCompanyOpen source ↗

Software & AI Engineering Transferability

High Confidence

Sep 26, 2026

Cloud sandboxing, security, distributed systems and agent infrastructure skills transfer broadly across AI platforms.

Source: E2BCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Limited Hiring

Employer Signal

93

Hiring Opportunity

72

Company Overview

Employer Snapshot

AI Category

AI Agent Infrastructure

Primary Location

San Francisco, California, USA / Remote

Founded

2023

Employees

60

Why AI Talent Watches E2B

E2B provides secure cloud computer and sandbox infrastructure designed for AI agents to execute code and interact with real-world tools.

Why Join

Build secure cloud computing infrastructure designed specifically for autonomous AI agents.

Employer Intelligence

Hiring: Limited Hiring

Talent Competition: Very High

Technical Bar: Exceptional

AI Talent Matrix Confidence: High confidence

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

92

AI Leadership

95

Employer Strength

93

Market Transferability

97

Career & Workplace

Career Growth

90

Compensation

100

Engineering Culture

100

Work-Life Balance

90

Evidence-Backed Signals

Career Upside

100

Talent Density

100

Hiring Opportunity

72

Talent & Career Programs

Remote Policy

Remote Friendly

Visa Sponsorship

Case by Case

Internship Program

Limited

New Grad Program

Limited

AI Focus

AI Agents / Sandboxes / Code Execution / Agent Infrastructure

Flagship Products

E2B Agent Cloud; Secure Sandboxes

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

9/5/2026

AI Talent Matrix Confidence

High confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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