SaaS companies hiring AI Engineers

SaaS companies hiring ai engineers. Hiring AI engineers means a company is standing up or scaling machine-learning capabilities. That's when they evaluate vector databases, LLM eval and observability tools, data-labeling services, and GPU infrastructure.

7 companies · Last updated Aug 29, 2026

Oneleet

oneleet.comAI Investment

77/100

Job title: GTM AI Engineer - Data & Attribution
Location: US/EU - Remote
Posted: Aug 25, 2026
Detected: Aug 29, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Oneleet is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Twenty

twenty.comAI Investment

70/100

Job title: Applied AI Engineer
Location: Arlington, VA
Posted: Sep 4, 2025
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Twenty is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Great Question

greatquestion.coAI Investment

70/100

Job title: AI Engineer Intern
Location: San Francisco
Posted: May 21, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Great Question is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Benchling

benchling.comAI Investment

70/100

Job title: Agentic AI Engineer
Location: San Francisco, CA
Posted: May 22, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Benchling is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

HockeyStack

hockeystack.comAI Investment

65/100

Job title: AI Engineer
Location: San Francisco
Posted: Mar 19, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: HockeyStack is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Cinder

cinder.aiAI Investment

62/100

Job title: AI Engineer
Location: New York
Posted: Dec 30, 2025
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Cinder is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

Luminai

luminai.comAI Investment

62/100

Job title: Applied AI Engineer
Location: SF Bay Area
Posted: Jan 9, 2026
Detected: Jun 12, 2026

Likely buying intent

vector databaseeval toolsLLM observabilitydata labelingGPU infrastructure

Suggested outreach angle: Luminai is building AI capabilities — a prime time to introduce vector databases, eval/observability tooling, and data-labeling or GPU infrastructure.

Job source ↗Company page →Useful?

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