Currently tracking 20 active AI roles, down 31% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $245k–$345k (avg $296k).
Whatnot has 33 active AI-related job listings, with a significant focus on agents, which accounts for 64% of their open roles. The majority of these positions are within the Engineering function, and all hiring is currently concentrated in the United States. Their technical needs are reflected in frequent tags such as model_serving, inference_infra, and agent_orchestration. In the last 30 days, Whatnot posted 2 new AI roles, representing a 78% decrease compared to the previous 30-day period.
Whatnot currently has 9 active AI-related roles in our index. The most common open titles are: AI Tooling Engineer, Data Scientist, Risk & Fraud, Engineering Manager, Feed, Machine Learning Engineer, Growth, Software Engineer, AI Dev Tools. Most positions are in Engineering.
Whatnot's active AI hiring is concentrated in: agents (89%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Whatnot is hiring AI talent in: United States (9 roles).
Job postings at Whatnot most frequently reference: agent orchestration, recommender systems, search ranking, model serving, rag.
In the past 30 days, Whatnot has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Backend Engineer, International Eng Senior Backend Engineer for Whatnot's International Engineering team, focusing on building scalable systems for cross-border transactions, tax/regulatory compliance, and international post-purchase experiences. Requires strong backend, distributed systems, and Python/Go experience. | — | 0 |
| Software Engineer, Infrastructure Software Engineer, Infrastructure Reliability Engineering role at Whatnot, focusing on building and maintaining distributed systems, services, and frameworks to ensure platform reliability, resiliency, and safe operation at scale. Responsibilities include designing traffic control mechanisms, load testing frameworks, chaos testing infrastructure, and systems for SLOs and incident management. The role requires strong software engineering fundamentals and experience with distributed systems, with preferred languages being Python, Elixir, or Go. | — | 0 |