U
Upstart
Senior Software Engineering Manager
Skills
KotlinPythonDatabricksData AnalysisMachine LearningAWSKubernetes
1 month ago
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Important information
Salary:
$195,300 – $270,400 / year
Location:
Austin, TX, USA
Work mode:
Onsite
Published on:
22 September 2026
What they need
Who you are
- 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 that build and operate backend platforms or distributed systems in production
- Experience delivering platform or infrastructure programs that span multiple teams
- Proficiency with some or many of the following: Python, Kotlin, AWS, Kubernetes, Databricks, Spark
- Knowledge of simulation, backtesting, experimentation, or offline model evaluation systems
- Experience supporting machine learning teams or operating MLOps infrastructure, including model inference, workflow orchestration, and offline feature pipelines
- Knowledge of lending, pricing, credit risk, or marketplace economics
- Ability to treat compute cost and efficiency as an engineering goal alongside reliability
- Ability to build shared platforms where partner teams own part of the logic, and to keep those interfaces steady as systems evolve
- Experience developing senior engineers and emerging engineering leaders
What the job involves
- Upstart's Machine Learning and Simulations Platform team builds and operates the infrastructure behind ML model training, features engineering, inference, and marketplace simulation
- Our simulation platform answers one question before any change reaches a borrower: what would this new ML model, price, or fee have produced for real applicants?
- It replays historical data through production pricing logic in isolated environments, and it is now the shared tool every machine learning team at Upstart uses to size the impact of a launch
- Our priorities are reliability teams can bet a launch on, fidelity to production we can prove, cost per simulation stays in check as usage grows, and coverage that extends across the lending funnel and into new loan products
- As the Senior Engineering Manager, Machine Learning Simulations at Upstart, you will lead the team that owns this platform
- Today machine learning teams run roughly a thousand simulations a month on it
- Your job is to make it production-grade, cut its cost while usage doubles, and open it to Analytics and Finance teams who need the same answers about pricing and portfolio strategy
- You will work across machine learning, pricing, product, analytics, and infrastructure teams, many of whom own the logic your platform has to reproduce faithfully
- 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
- Raise simulation reliability and accuracy to a level teams trust for launch decisions, including automated checks that detect drift between simulated and production results
- Reduce the cost of each simulation as usage grows, through smart architecture and compute choices
- Extend simulation coverage across the lending funnel and into new loan products, partnering with the teams who own each stage of pricing and decisioning logic
- Turn recurring questions from machine learning, analytics, and capital markets partners into self-serve simulation workflows
Benefits
- Comprehensive health plans
- 401k Plan
- Annual wellness reimbursement
- Disability insurance
- Generous vacation policy
- Flexible time off
- Parental leave
- Family forming benefits through Carrot
- Technology equipment budget
- Personal development budget
- Various clubs and extracurricular activities
- Catered lunches
- Fully stocked micro-kitchen
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