Senior Manager, Software Engineering – Machine Learning Simulations

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195.3k - $270.4k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Upstart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The company focuses on revolutionizing lending and credit risk evaluation by leveraging its AI marketplace, which allows for higher approval rates and lower loss rates for Upstart-powered banks and credit unions. Recently, Upstart has expanded its offerings to include automobile refinancing. With a mission to enable effortless credit based on true risk, Upstart is also known for its digital-first lending experience and holds a significant position in the financial services sector.

📋 Description

• Own the engineering roadmap for Upstart's marketplace simulation platform • Decide which teams and use cases the platform serves next • Lead, coach, and grow engineers working across distributed services, offline data pipelines, and large-scale compute • Improve simulation reliability and accuracy for launch decisions • Implement automated checks detecting drift between simulated and production results • Reduce simulation costs through architecture and compute choices • Extend simulation coverage across the lending funnel and new loan products • Partner with teams owning pricing and decisioning logic • Convert recurring questions from machine learning, analytics, and capital markets partners into self-serve simulation workflows • Collaborate across machine learning, pricing, product, analytics, and infrastructure teams

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience • 8+ years of software engineering experience, including 3+ years of engineering management experience • Experience leading engineering teams building and operating backend platforms or distributed systems in production • Experience delivering platform or infrastructure programs spanning multiple teams • Proficiency with some or many of: Python, Kotlin, AWS, Kubernetes, Databricks, Spark • East/West coast time zone availability • Preferred: knowledge of simulation, backtesting, experimentation, or offline model evaluation systems • Preferred: experience supporting machine learning teams or operating MLOps infrastructure • Preferred: knowledge of lending, pricing, credit risk, or marketplace economics • Preferred: ability to optimize compute cost and efficiency • Preferred: experience building shared platforms with stable interfaces • Preferred: experience developing senior engineers and emerging engineering leaders

🏖️ Benefits

• Target bonuses • Equity compensation and annual equity grants vesting quarterly • 401(k) or Group Retirement Savings Plan with company match of $2 for every $1 contributed, up to $15,000 annually • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible US employees • Medical, dental, vision, and wellness resources for US employees • Supplemental health coverage for Canada • Health Savings Account contributions for eligible US plans • Life insurance and disability coverage • Paid time off, sick leave, and company holidays • Paid family and parental leave • Fertility, parenthood, and caregiving benefits • Employee Assistance Program with mental health support and life-centered resources • Financial planning tools and financial concierge service for US employees • Annual wellness allowance • Annual productivity allowance • Team events, all-company updates, and employee resource groups • Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City