Chewy
Retail · Online pet retailer
Retail · Online pet retailer
Chewy currently has 18 active AI-related job listings. The majority of these roles are focused on agents, representing 44% of the openings. The company is hiring primarily for engineering positions, with one role in product. Recent hiring activity shows a significant increase, with 13 new AI roles posted in the last 30 days, a 1200% rise from the previous 30-day period.
Currently tracking 7 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $141k–$325k (avg $222k).
Chewy currently has 12 active AI-related roles in our index. The most common open titles are: Staff Machine Learning Engineer (2), Business Intelligence Engineer II, Data Scientist III, Director, Software Engineering, Machine Learning Engineer II. Most positions are in Engineering and Product.
Chewy's active AI hiring is concentrated in: agents (50%), serving infrastructure (33%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Chewy is hiring AI talent in: United States (12 roles).
Job postings at Chewy most frequently reference: model serving, inference infra, recommender systems, search ranking, llm observability.
In the past 30 days, Chewy has posted 9 new AI-related roles. That is a -36% change versus the prior 30 days (14 → 9).
| Title | Stage | AI score |
|---|---|---|
| Director, Software Engineering Director of Software Engineering to lead B2B Vet Clinics organization, delivering scalable, secure, and intelligent SaaS solutions. This leader will shape the technology vision that enables clinics to operate more efficiently, deliver better patient outcomes, and grow their businesses through modern, AI-enabled software platforms. The role requires owning the technical vision and strategy, building and developing high-performing teams, driving a culture of innovation, and implementing with operational excellence. Requires experience leading engineering organizations that have built and scaled B2B SaaS platforms, with an AI-first mindset and experience embedding AI/ML capabilities into products. | Ship | 5 |