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dbt Labs

dbt Labs

Data AI · Data transformation

Currently tracking 3 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $180k–$250k (avg $214k).

Hiring
3 / 4
Momentum (4w)
↓-6 -43%
8 opens last 4w · 14 prior 4w
Salary range · avg $214k
$180k–$250k
USD · disclosed roles only
Tracked since
Feb 17
last role 3w ago
Hiring velocityscroll left for older weeks
1 new role
May 19
1 new role
Nov 3
1 new role
24
1 new role
Dec 1
1 new role
15
1 new role
Jan 5
1 new role
12
1 new role
26
1 new role
Feb 2
2 new roles
9
4 new roles
16
1 new role
23
7 new roles
Mar 2
6 new roles
9
4 new roles
16
1 new role
23
6 new roles
Apr 6
5 new roles
13
1 new role
20
2 new roles
27
4 new roles
May 4
1 new role
18
1 new role
25
2 new roles
Jun 1

Frequently asked questions

  • What AI roles is dbt Labs hiring for?

    dbt Labs currently has 3 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (2), Staff Product Manager- Developer Experience. Most positions are in Engineering and Product.

  • What stage of AI development does dbt Labs focus on?

    dbt Labs's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is dbt Labs hiring AI talent?

    dbt Labs is hiring AI talent in: India (2 roles), United States (1 role).

  • What technologies does dbt Labs's AI team work with?

    Job postings at dbt Labs most frequently reference: agent orchestration, agent research, tool use, llm observability, guardrails.

Jobs (1)

2 AI · 35 total active
FilteredStageAgent×FunctionEngineering×CountryIndia×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 2
Function
AllEngineering · 1Product · 1
Country
AllIndia · 1United States · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Staff Software Engineer
Staff Software Engineer role focused on building autonomous and assisted agents that operate across the Analytics Development Life Cycle (ADLC). The agents will reason over enterprise context, act on data products, and improve the system over time through decision memory. Responsibilities include designing and implementing agents for various ADLC stages, orchestrating agent workflows, integrating with existing systems, and encoding governance policies.
AgentEngineeringIndia · RemoteMar 37