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Senior Software Engineer - Revenue Science

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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 Senior 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

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 --> use for L5, L6

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

$163,600—$226,400 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 candidate_accommodations@upstart.com

https://www.upstart.com/candidate_privacy_policy

Average salary estimate

$195000 / YEARLY (est.)

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$163600K

$226400K

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What You Should Know About Senior Software Engineer - Revenue Science, Upstart

Upstart, a leader in AI-driven lending marketplaces, is on the lookout for a talented Senior Software Engineer to join our dynamic Revenue Science team here in the United States. In this role, you’ll be central to enhancing the systems that optimize borrower offers by ensuring an enticing balance between customer appeal and lender requirements. If you’re passionate about building scalable backend systems using machine learning and real-time decision engines, this position might be the perfect fit. You’ll collaborate cross-functionally with product managers, analysts, and fellow engineers to deliver smart pricing mechanisms and robust capital deployment strategies. Get ready to dive into designing and maintaining real-time services that handle origination fee computations, while also filtering offers effectively. Your technical expertise in distributed systems, APIs, and various programming languages including Kotlin or Python will be put to great use as you help drive Upstart’s mission of redefining access to affordable credit. This role offers not just the chance to deepen your backend skills, but also the opportunity to significantly contribute to a platform that touches countless lives by making lending more inclusive. If this excites you, we would love for you to join us and make an impact together!

Frequently Asked Questions (FAQs) for Senior Software Engineer - Revenue Science Role at Upstart

What are the main responsibilities of a Senior Software Engineer at Upstart?

As a Senior Software Engineer at Upstart, you'll be responsible for designing, building, and maintaining real-time pricing systems that optimize borrower offers. Collaborating with cross-functional teams, you'll drive data-driven decisions that enhance marketplace performance while ensuring system security and reliability.