Plaid
Fintech · Financial data API
- HQ
- San Francisco, US
- Founded
- 2013
- Website
- plaid.com
Plaid currently has 14 active AI-related job listings. The majority of these roles, 43%, are focused on agents, with serving infrastructure also representing a significant portion at 21%. Engineering is the most frequent function, with all 14 roles located in the United States. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deploying and managing AI models.
Currently tracking 10 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Plaid currently has 16 active AI-related roles in our index. The most common open titles are: AI Marketing Technologist Lead, Analytics Engineer, Engineering Manager - Security, Engineering Manager, AI Applications, Fraud Researcher. Most positions are in Engineering and Research.
Plaid's active AI hiring is concentrated in: agents (44%), application (19%), pre-training (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Plaid is hiring AI talent in: United States (16 roles).
Job postings at Plaid most frequently reference: model serving, fine tuning, llm observability, agent orchestration, inference infra.
In the past 30 days, Plaid has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer - Embedded Insights Machine Learning Engineer focused on building and deploying AI/ML models into customer-facing financial products, driving initiatives from concept to production, and ensuring model performance and scalability. | ShipAgent | 7 |
| Senior Machine Learning Engineer - Embedded Insights Senior Machine Learning Engineer focused on building and deploying ML models into Plaid's financial products, working across the full ML lifecycle from experimentation to production scaling and monitoring. The role involves analyzing financial datasets, developing proof-of-concept solutions, and collaborating with product and engineering teams to integrate models and ensure their long-term performance and reliability. |
| 7 |
| Fraud Researcher Senior Fraud Researcher at Plaid, focusing on using financial network data, transaction patterns, and device signals to detect and prevent fraud. The role involves leading investigations, translating findings into detection improvements, and collaborating with Data Science, ML/AI, and Product teams to shape fraud capabilities. It emphasizes applied research, signal utilization, and ecosystem monitoring to stay ahead of adversaries, directly driving features, model inputs, and product design. | Ship | 7 |