Senior Engineering Manager, Marketplace

Upstart · Fintech · Remote · Engineering

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.

What you'd actually do

  1. Define and execute the team’s technical roadmap: deliver matching, offer-selection, monetization, and target-return logic and features that improve marketplace outcomes
  2. Build and grow a high-performing engineering team: hire, mentor, and develop engineers and ICs; establish clear expectations and career growth paths
  3. Drive technical excellence: own architecture and delivery decisions for scalable, fault-tolerant services, data pipelines, and APIs that integrate with ML models and capital systems
  4. Collaborate cross-functionally with Product, ML, Capital Markets, and Risk to translate business goals into prioritized, measurable engineering work
  5. Own operational reliability and observability: establish SLOs/SLIs, alerting, runbooks, and post-incident practices to ensure marketplace integrity and fast incident response

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience
  • Proven success leading and scaling high-performing engineering teams (e.g., growing headcount, improving delivery metrics, or managing multiple squads)
  • Demonstrated domain expertise in marketplace optimization, pricing/fee/monetization, or routing systems at scale
  • Demonstrated ability to partner closely with Product, and ML teams to deploy models at scale and build scalable production ready systems
  • Exceptional communication skills with the ability to influence technical and non-technical audiences
  • Strong analytical, organizational, and strategic thinking skills with a bias for action

Nice to have

  • Hands-on familiarity with cloud platforms (AWS/GCP/Azure), containerization and orchestration (Docker/Kubernetes), and scalable API design
  • Experience with streaming and event architectures (e.g., Kafka, Pub/Sub) and modern data platforms
  • Track record operating in regulated or compliance-sensitive environments and building systems that support auditability
  • Background in statistics, economics, or applied ML domains
  • Demonstrated success building observability and reliability practices (SLO/SLI design, monitoring, alerting, post-incident process) and scaling engineering processes across multiple teams

What the JD emphasized

  • ML-backed signals
  • deploy models at scale
  • regulated fintech environment
  • operational reliability and observability

Other signals

  • AI lending marketplace
  • ML-backed signals
  • deploy models at scale
  • regulated fintech environment