Software Engineer, Slope
Credit/ML
Buy now, pay later for B2B businesses
Open for applications
Buy now, pay later for B2B businesses
21-100 employees
Open for applications
21-100 employees
Company mission
To make it super easy for folks to offer short-term financing to their business buyers, helping businesses to thrive.
Role
Who you are
- 3+ years in Data Engineering, or ML Engineering in a production setting
- Worked closely with data scientists to ship features and models into production
- Experience building, maintaining, and debugging distributed ML infrastructure
- Fluency in Python and Javascript
- Experience with the DS stack (Pandas, Scikit, Numpy)
- Experience with SQL, data warehousing and ETL
- Experience with building internal tooling to empower coworkers and improve operational efficiency
- Willing to work in person at SF office
- Being proactive and a fast-learner (Slope! ⚡)
Desirable
- Entrepreneurial mindset (we encourage all employees to be future founders and this can be a great stepping stone towards that)
- Customer-centric and passionate about helping small businesses grow
- Experience with a web frameworks (i.e. Django, Nextjs)
- Experience at a high-growth, fast-paced startup
What the job involves
- You will play a foundational role in building the models and infrastructure powering Slope’s underwriting stack. If the thought of building things from scratch and owning features end-to-end excites you, you’d be a perfect fit!
- Building the core risk models powering underwriting. The outputs of these models will determine who we lend to, how much we lend, and what terms we offer – our core business activity
- You will own everything from building pipelines & writing training loops to deploying the model to real-time production code
- Scale and optimize our underwriting service while keeping it low latency
- Seeking out new data sources, such as credit bureaus, fraud-detection services, and alternative sources (social media, satellite & street views). Integrating promising APIs into our production & training pipelines
- Building the infrastructure that powers data ingestion, model training, and deployment
- Support the improvement of internal tooling used in financial-based and manual underwriting
Our take
Buy now, pay later financing options are growing increasingly popular in the B2C space, but so far B2B businesses have been underserved. Slope seeks to address this imbalance, making it easier for B2B businesses to offer buy now, pay later financing options at checkout through its platform.
Compared to other providers, Slope's technology is fast and effective. It's no surprise that the company has already made a considerable impact, and boasts the backing of companies such as DoorDash and Opendoor. Slope has been growing at an impressive pace, especially in North America and Asia, bagging impressive funding that will allow it to scale.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jul 2024
$32.5m
EARLY VC
Sep 2023
$30m
EARLY VC
Total funding: $94.5m
Company values
- Slope - We are driven by our mission to help drive conversion, AOV, and repeat purchase rate by unlocking cash flow for buyers
- Ownership - We embrace autonomy and encourage ownership, so you can focus on personal growth
- People first - We place empathy for our customers, partners, and fellow team members above all else
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Lawrence Lin Murata
(Co-Founder & CEO)Previously founded Newton Technologies and worked as Head of AI Platforms and Data Science at Nauto.
Alice Deng
(Co-Founder & CPO)Previously worked as a Product Manager at Dropbox, and co-founded Glisten.ai.
Salary benchmarks
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