What AI roles is Weaviate hiring for?

Weaviate currently has 2 active AI-related roles in our index. The most common open titles are: Applied Research Intern, Developer Advocate Intern. Most positions are in Engineering.

What stage of AI development does Weaviate focus on?

Weaviate's active AI hiring is concentrated in: agents (50%), serving infrastructure (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

What skills does Weaviate look for in AI roles?

Job postings at Weaviate most frequently mention: Content Generation, Vector Databases, Technical Documentation, Recommendation Systems, Machine Learning.

How many AI roles has Weaviate posted recently?

In the past 30 days, Weaviate has posted 0 new AI-related roles.

Weaviate

Data AI · Vector DB

Currently tracking 1 active AI role, up 150% versus the prior 4 weeks. Primary focus: Serve · Engineering.

Hiring

1 / 1

Momentum (4w)

↑+3 +150%

5 opens last 4w · 2 prior 4w

Salary range

—

Tracked since

7w ago

last role 3w ago

Hiring velocityscroll left for older weeks

2 new roles

Feb 2

2 new roles

Mar 23

1 new role

Apr 27

1 new role

Jun 1

Jobs (1)

1 AI · 3 total active

Title	Stage	Function	Location	First seen	AI score
Product Engineer - Growth (Remote/GMT/CET) Product Engineer focused on growth for Weaviate Cloud, an AI-native vector database. The role involves building and iterating on PLG features, identifying and resolving user journey friction through data insights, and collaborating cross-functionally to improve the end-to-end user experience. The engineer will own the full loop of instrumenting, shipping, measuring, and iterating on product features.	Ship	Engineering	GMT +1	Mar 31	5

Frequently asked questions

What AI roles is Weaviate hiring for?
Weaviate currently has 2 active AI-related roles in our index. The most common open titles are: Applied Research Intern, Developer Advocate Intern. Most positions are in Engineering.
What stage of AI development does Weaviate focus on?
Weaviate's active AI hiring is concentrated in: agents (50%), serving infrastructure (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
What skills does Weaviate look for in AI roles?
Job postings at Weaviate most frequently mention: Content Generation, Vector Databases, Technical Documentation, Recommendation Systems, Machine Learning.
How many AI roles has Weaviate posted recently?
In the past 30 days, Weaviate has posted 0 new AI-related roles.