Upstart
Fintech · AI-native lending (FICO alternative)
- HQ
- San Mateo, US
- Founded
- 2012
- Funding
- Public (UPST)
- Website
- upstart.com
Currently tracking 7 active AI roles, up 19% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $164k–$226k (avg $195k).
Upstart currently has 12 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 33% of the openings, followed by agents at 25%. Engineering is the dominant function, with 11 out of the 12 roles. Frequent tech tags include model serving, inference infrastructure, and recommender systems, suggesting a focus on deploying and optimizing AI models.
Fintech · AI-native lending (FICO alternative)
Upstart currently has 7 active AI-related roles in our index. The most common open titles are: Principal Applied Scientist, Principal Product Manager, Agentic Platform, Principal Software Engineer, Machine Learning Simulations , Senior Engineering Manager, Marketplace, Senior Engineering Manager, Offer Delivery. Most positions are in Engineering and Product.
Upstart's active AI hiring is concentrated in: application (43%), agents (29%), serving infrastructure (29%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Upstart most frequently reference: model serving, recommender systems, inference infra, agent orchestration, tool use.
In the past 30 days, Upstart has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Principal Product Manager, Agentic Platform Principal Product Manager for Upstart's Agentic Platform, responsible for the long-term vision, strategy, and roadmap of the internal AI infrastructure that powers autonomous agents. The role focuses on enabling non-technical users to build, test, and deploy agents safely and efficiently, covering aspects like configuration, evaluation, orchestration, and integration. It requires defining architectural strategy for agentic systems, including RAG and tool usage, and ensuring reliability and compliance in a regulated environment. | Agent | 8 |
| Principal Applied Scientist This role focuses on defining the long-term technical direction for Upstart's offer optimization and conversion modeling systems. The Principal Applied Scientist will work across teams to ensure models and optimization systems account for downstream effects, marketplace constraints, and customer outcomes. The work involves structuring ambiguous problem spaces, designing solutions for multi-stage customer journeys, and providing technical oversight. It sits at the intersection of operations research, optimization, causal machine learning, and production decision systems. | Agent | 7 |