Jobs at Upstart

• Lead and evolve Upstart’s data platform organization, including Database Engineering, Data Capture, Data Curation, and Production Experience & Data Governance, building platforms and tooling that enable engineering teams to develop and manage reliable data pipelines.
• Set the strategy and roadmap for Upstart’s data infrastructure, developing deep context on busi...

• Set the strategy for a fast-growing credit product, balancing what's good for customers with what makes a healthy business, navigating some of the hardest tradeoffs in Fintech.
• Turn insight into how people actually behave into product features that reward trust and unlock more value over time.

• Lakehouse Infrastructure and Security: Own the Databricks platform across multiple environments, including a newly launched regulated environment (Upstart Bank). Responsibilities include expanding infrastructure as code for new Lakehouse features, enforcing a no-click-ops policy, establishing disaster recovery, implementing least-privilege and attribute-based access controls (e.g., based on data classification), ensuring environment isolation, and resolving other known security risks.

• Build and improve the tooling, services, and automation that help engineers understand and improve the reliability of production systems
• Develop shared observability capabilities that make metrics, logs, traces, service health, and customer impact easier to understand and act on

• + Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure for online inference and offline training, including standing up new dedicated integration capacity where needed.

Set and execute the technical strategy aligned to measurable north star metrics such as increasing data evaluation velocity and reducing time to production.
Drive robust data quality and reconciliation frameworks, including retro vs. production checks, ingress-level monitoring, and drift detection to prevent launch issues and downstream model degradation.
Champion a company-wide shift toward data contracts and SLAs, ensuring data producers adopt clear ownership, quality standards, and monitoring practices for ML-critical datasets.
Establish clear end-to-end ownership across the third-party and internal data lifecycle, eliminating fragmented workflows and implicit accountability.
Accelerate third-party data onboarding by operationalizing standardized vendor intake, secure retro ingestion, templated integrations, and configurable microservices that reduce engineering lift and cycle time.
Unlock internal data for ML innovation by improving metadata coverage, lineage standards, ownership contracts, and ML discoverability across high-impact internal domains

• Research machine learning and statistical approaches to discover improvements to the predictive performance and/or business value of a model.
• Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods.

• Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization.
• Define the product strategy and roadmap for the platforms powering Upstart’s credit decisioning and machine learning capabilities.

• Lead and develop multiple engineering teams responsible for critical Servicing products.
• Define and execute multi-quarter technical and engineering strategies aligned with Servicing and company priorities.

• Keep help desk inquiries and requests organized and up to date via internal ticketing system (Jira Service Desk).
• Onboarding and off-boarding of new employees, temporary employees, vendors, and contractors.

• Own the engineering roadmap for Upstart's marketplace simulation platform, and decide which teams and use cases it serves next
• Lead, coach, and grow a team of engineers working across distributed services, offline data pipelines, and large-scale compute

• Lead application security projects from planning through implementation, coordinating contributors and dependencies to deliver high-quality outcomes.
• Conduct threat modeling and security architecture reviews for complex customer-facing applications, APIs, distributed services, and AI/ML systems.

• Lead the creative vision and execution across Paid Social channels, ensuring design excellence, platform relevance, and brand consistency across all creative assets.
• Stay informed on performance and testing results, applying learnings to generate creative hypotheses, inform future assets, and proactively develop new creative tests.

• Define the cross-company technical vision and roadmap for Upstart's pricing platform, ensuring alignment across Pricing, Personal Loans, Auto, HELOC, ML, and Product organizations.
• Lead the architectural evolution from tightly coupled, sequential workflows toward modular, reusable platform capabilities across loan products.

• Build, maintain, and optimize Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning.
• Develop high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business

• Build and improve services, automation, and developer tooling that enable engineering teams to safely release and deploy software to production
• Develop reliable deployment capabilities, including progressive rollouts, deployment health analysis, and automated rollback, to reduce the risk of production changes

• Define and drive the strategy and roadmap for Upstart’s experimentation platform, balancing immediate business needs with a scalable, long-term platform vision supportive of agentic products.
• Collaborate with Machine Learning, Analytics, and Engineering to build shared experimentation capabilities, including approaches for randomized experiments, model deployments, feature flags, and other emerging patterns.

• Own the strategy, roadmap, and execution for a major Capital Platform problem space with material business impact
• Lead multi-quarter, cross-team initiatives that require deep systems thinking and operate under significant ambiguity

• Identify the highest-impact causes of payment failures and lead solutions that improve payment success and borrower outcomes.
• Improve how we understand an individual borrower’s ability to repay, including through thoughtful use of third-party data sources.

• Own and evolve the strategy for Upstart's end-to-end conversion experience, from application start through offer acceptance and beyond.
• Take on the hardest conversion problems with a customer-first mindset, such as helping users whose offer differs from what they requested understand their options and move forward with confidence.

• Partner with Machine Learning teams, GenAI application developers, business sponsors, and other stakeholders to maintain accurate inventories, risk assessments, documentation, monitoring reports, and supporting governance materials for models and GenAI applications affecting Upstart Bank.
• Review methodologies, assumptions, data inputs, system designs, performance measures, controls,...