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UpstartUpstartSan Mateo, CA

Senior Engineering Manager, Marketplace

Leads engineering squads building marketplace optimization systems including matching, offer-selection, and monetization logic integrated with ML models. Requires 8+ years experience including 3+ years people management, domain expertise in marketplaces, and cross-functional collaboration skills.

186k – 258k/yr
Remote8+ YOEEngineering Management

About the role

The Team

Upstart's Marketplace Optimization team builds dynamic policy levers, matching and offer-selection logic, and monetization tooling to optimize market-level outcomes, balancing tradeoffs for borrowers, capital providers, and Upstart.

Role Summary

As Senior Engineering Manager for Marketplace Optimization, lead high-impact engineering squads that turn marketplace strategy and ML-backed signals into reliable production systems. Partner with Product, Machine Learning, and Capital Markets to deliver scalable capital routing, matching, and monetization automation.

How you’ll make an impact:

  • Define and execute the team's technical roadmap: deliver matching, offer-selection, monetization, and target-return logic and features that improve marketplace outcomes
  • Build and grow a high-performing engineering team: hire, mentor, and develop engineers and ICs; establish clear expectations and career growth paths
  • 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
  • Collaborate cross-functionally with Product, ML, Capital Markets, and Risk to translate business goals into prioritized, measurable engineering work
  • Own operational reliability and observability: establish SLOs/SLIs, alerting, runbooks, and post-incident practices to ensure marketplace integrity and fast incident response
  • Lead delivery and execution: unblock teams, manage technical and organizational risks, and ensure high-quality, timely releases while balancing speed and safety

Minimum requirements:

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics, or related field (or equivalent) + 8 years of experience, including at least 3 years of direct people management
  • 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 ability to influence technical and non-technical audiences
  • Strong analytical, organizational, and strategic thinking skills with bias for action

Preferred Requirements:

  • 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

Skills

KubernetesDockerAWSGCPAzureKafkaPub/SubAPIsSloSli

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