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 |
|---|---|---|
| Senior Manager, Machine Learning Upstart is seeking a Senior Manager, Machine Learning to lead a small, nimble team of individual contributors. This is a highly technical player-coach role where the manager will spend roughly 50/50 split between technical execution and management. The role involves leading ML innovation for new products, building core models, optimizing mature models, and translating model predictions into business impact within the fintech domain. The team focuses on generalist ML leaders who can be deployed to areas of high impact, including new initiatives and scaling existing models. | ShipData | 8 |
| Senior Software Engineer, Cash Line Senior Software Engineer role at Upstart focused on building backend systems for a new AI-driven revolving credit product. The role involves designing and delivering production-grade services for underwriting, pricing, and servicing, with a strong emphasis on integrating AI decisioning into real-time user flows and applying generative AI to customer-facing features and internal tooling. Requires experience with distributed systems, object-oriented programming, and fluency with generative AI systems in production. | Ship | 7 |
| Senior Engineering Manager, Offer Delivery Senior Engineering Manager for Upstart's Offer Delivery Team, focused on driving user growth and engagement through intelligent targeting, personalized offer generation, and scaling infrastructure. This role involves defining roadmaps, leading engineering teams, leveraging data for optimization, and creating a best-in-class offer generation system. | Ship | 5 |
| Principal Software Engineer, Cash Line Principal Software Engineer for Upstart's new Cash Line revolving credit product. This role involves designing and building core backend systems for underwriting, pricing, and servicing, with a strong emphasis on integrating AI and generative AI capabilities into both the product and internal workflows. The engineer will work in a greenfield environment, collaborating with product, ML, and other stakeholders to deliver a category-defining credit experience. | Ship | 5 |
| Senior Engineering Manager, Marketplace Senior Engineering Manager for Upstart's Marketplace Optimization team, responsible for leading engineering squads to build and scale production systems that optimize market-level outcomes. This role involves defining technical roadmaps, managing and mentoring engineers, driving technical excellence in scalable services and data pipelines, and ensuring operational reliability in a regulated fintech environment. The focus is on translating business goals and ML signals into reliable, performant, and safe production services that directly impact borrower outcomes and capital performance. | Ship | 5 |