Currently tracking 1 active AI role, up 33% versus the prior 4 weeks. Primary focus: Agent · Product.
Cockroach Labs currently has 8 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with 13% in application. The company is hiring for both Product and Engineering functions. Frequent technical tags include agent orchestration, RAG, and tool use. Over the last 30 days, there has been a decrease of 86% in new AI roles, with 1 new listing compared to 7 in the prior 30-day period.
Cockroach Labs currently has 3 active AI-related roles in our index. The most common open titles are: Director, Product Management, Manager, Revenue Systems, Staff Product Manager (Data Onboarding). Most positions are in Product and Engineering.
Cockroach Labs's active AI hiring is concentrated in: agents (67%), application (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cockroach Labs is hiring AI talent in: United States (3 roles).
Job postings at Cockroach Labs most frequently mention: ETL, Data Quality, Tool-Using Agents, Tool Use, Personalization.
In the past 30 days, Cockroach Labs has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Manager, Engineering Manager, Engineering role at Cockroach Labs in Bangalore, India, leading Platform Engineering teams. The role focuses on developing and embedding AI-powered capabilities to enhance engineering productivity and innovation within the company's core infrastructure (CockroachDB and CockroachDB Cloud). Responsibilities include team leadership, roadmap definition, cross-geo collaboration, and fostering a high-performance culture, with an emphasis on distributed systems and platform architecture. | Ship | 5 |
| Director, Product Management Director of Product Management at Cockroach Labs, focusing on end-to-end user journeys with an AI-first mindset. This player-coach role involves owning product strategy, developing a team of PMs, and driving AI-powered feature development across the product lifecycle, from onboarding to observability and governance. The role requires deep customer obsession, evidence-based decision-making, and cross-functional leadership, with an emphasis on embedding AI tools and defining AI metrics. | Ship |
| 5 |
| Staff Product Manager (Efficient & Always-on Transactions) Product Manager for CockroachDB's Efficient & Always-on Transactions, focusing on performance, reliability, and cost efficiency for globally distributed, multi-region databases. The role involves defining strategy, understanding customer pain points (TCO, scale limits, latency), and driving data-backed decisions. A key aspect is applying an AI-first mindset to identify opportunities for AI-assisted features like query diagnosis and automated plan management to improve product quality and customer value. | Ship | 5 |