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Upstart

Software Engineer, Revenue Science

Job Summary

The role involves developing and maintaining scalable, real-time backend systems to support personalized pricing and offer optimization for an AI-driven lending marketplace. Candidates should have at least 5 years of experience in backend or full-stack development, with expertise in distributed systems, APIs, and cloud platforms like AWS or GCP. Collaboration with cross-functional teams such as Product, Analytics, and Machine Learning is essential to drive efficient capital deployment and enhance borrower experience. The position offers opportunities to work on impactful infrastructure supporting growth, with a focus on security, performance, and reliability.

Required Skills

Data Warehousing
SQL
Python
APIs
Machine Learning
Communication
Teamwork
Distributed Systems
Backend Development
Full-Stack Development
Kotlin
Spark
Microservices Architecture
PostgreSQL
Kafka
Cloud Platforms
Ruby on Rails
Real-time Data Processing

Benefits

Health Insurance
Paid Time Off
Parental Leave
Dental Insurance
Life Insurance
Disability Insurance
Employee Stock Purchase Plan
Vision Coverage
401(k) Retirement Plan
Health Savings Account
Family Care Leave
Military Leave
Wellness Reimbursements
Catered Meals
Social Activities
Technology & Ergonomic Reimbursement

Job Description

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

We are seeking a Software Engineer to join our Revenue Science team. Revenue Science builds the systems that optimize the offers we present to borrowers—balancing customer appeal, lender requirements, and capital availability. We use machine learning, real-time decision engines, and flexible configuration to power accurate, personalized pricing at scale, while ensuring a great borrower experience.

You’ll collaborate with engineers and cross-functional partners across Product, Analytics, Machine Learning, and Capital Markets to build scalable systems that respond to changing lender needs, funding dynamics, and borrower behavior. This role offers opportunities to deepen your backend expertise while working on impactful infrastructure that supports Upstart’s lending growth and helps deliver better offers to more people.

How you’ll make an impact:

  • Collaborate with product managers, analysts, and engineers to drive smarter pricing decisions and efficient capital deployment
  • Design, build, and maintain real-time services that power origination fee computation and offer filtering
  • Work with business stakeholders to identify opportunities for optimizing marketplace performance and lender alignment
  • Develop scalable, reliable systems that support experimentation and rapid response to market changes
  • Ensure the security, performance, and availability of critical pricing platforms
  • Participate in code reviews, testing, and the deployment of high-quality code

What we’re looking for:

Minimum Qualifications

  • 3-5 years of experience in backend or full-stack software development, with a strong focus on distributed systems and APIs
  • Experience with some or many of the following: Kotlin, Python, PostgreSQL, Ruby on Rails
  • Experience with cloud platforms (AWS, GCP, Azure) and deploying applications in a cloud native environment
  • Experience with microservices architecture and real-time data processing pipelines (Kafka, Spark, or similar)
  • Familiarity with database technologies such as SQL and data warehousing solutions
  • Good communication and teamwork skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

  • Experience in fintech, particularly in areas such as dynamic pricing, revenue optimization, or capital markets
  • Familiarity with machine learning models and their integration into production systems
  • Prior experience or demonstrated enthusiasm for working on internal tools
  • History of thriving in a variety of work environments: both collaborative and self-directed; remote and in-person

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love:

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave
  • Supportive parental, family care, and military leave programs
  • Annual wellness, technology & ergonomic reimbursement programs
  • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
  • Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-MidSenior

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range
$142,000$196,600 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]

https://www.upstart.com/candidate_privacy_policy

Interested in this job?

Application deadline: Open until filled

Logo of Upstart

Upstart

A lending platform using AI to provide personal loans and credit solutions with a focus on fair and fast approvals.

See more jobs
Date PostedJune 21st, 2025
Job TypeFull Time
LocationUnited States | Remote
Salary$142,000 - $196,600
Exciting remote opportunity (requires residency in United States) for a Software Engineer, Revenue Science at Upstart. Offering $142,000 - $196,600 (full time). Explore more remote jobs on FlexHired!

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