Senior Software Engineer, Merchant Decisioning

San Francisco, CA

Parafin

Parafin provides pre-built financial services programs that help your merchants grow.

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About Us:

At Parafin, our mission is to grow small businesses.

Small businesses are the backbone of our economy, yet banks do not have their back. Parafin is a technology company that builds infrastructure which enables small businesses to get easy access to financial services via platforms they sell on. Parafin's first set of products offer capital-as-a-service for online platforms. Parafin currently powers the capital programs for platforms and payment processors ranging from Series B to post-IPO companies such as DoorDash, Amazon, Worldpay, Mindbody, Fullsteam, Guesty, Xplor, and Quilt.

We are a tight-knit team coming from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN, and are excited both about helping small businesses grow and thrive, and build products that leaders at top companies have started to use every day to grow their platforms. We are backed by prominent venture capitalists such as Ribbit Capital, Thrive Capital, GIC, Index Ventures, Green Oaks Capital, and SV Angel and have raised more than $94M in equity and $200M in debt.

About the Position

We are looking for an experienced software engineer to join the merchant decisioning team and build a scalable platform/infrastructure that is critical for underwriting and decisioning hundreds of thousands of businesses on a daily basis. As part of the team, you will be working closely with Data Science, Growth and Risk stakeholders to efficiently serve the product initiatives that serve Parafin’s portfolio and empower stakeholders with controls to determine Parafin’s growth and bottom line.

Are you an excellent software engineer with a drive to solve impactful and difficult problems and eager to build the merchant decisioning platform for an ambitious and growing startup? If so, come join us!

What You’ll Be Doing:

  • You will own our Python-based underwriting and application decisioning product and drive its development.

  • You will closely define the architecture and underlying infrastructure all the way from the technologies we use to the design principles that we apply.

  • You will work closely with our data scientists to build a platform that is reliable, scalable, and easily iterable.

  • You will be integrating ML Infrastructure into the platform to make DS-driven decisioning more powerful and intelligent.

What We’re Searching For:

  • 3+ years of experience working in an engineering role

  • You care deeply about building high-quality infrastructure with relevant experience and take immense pride in your craft.

  • You are comfortable owning and driving the development of the product from 0 to 1.

  • You thrive in ambiguity and have a strong grasp of engineering fundamentals.

  • You are excited about working on a small team and helping us set the foundations for the company.

What We Offer

  • Salary Range: $190K - $220K

  • Equity grant

  • Medical, dental & vision insurance

  • Unlimited PTO & work from home flexibility

  • Commuter benefits

  • Free lunches

  • Paid parental leave

  • 401(k)

  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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Tags: Architecture Engineering Machine Learning ML infrastructure Python Testing

Perks/benefits: Career development Equity / stock options Health care Lunch / meals Medical leave Parental leave Startup environment Unlimited paid time off

Region: North America
Country: United States

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