About the job
Founding Engineer - Scend
Who We Are
At Scend, we are dedicated to revolutionizing the M&A landscape and enhancing efficiency within private markets. Backed by leading investors such as Pear VC, we have a strong team and early customers, positioning us for significant growth.
Join our lean, high-impact team that thrives on creating stunning, functional products. Our diverse backgrounds span M&A, private equity, consumer fintech, and the vibrant Python open-source community, uniting us in our passion for excellence.
Our Values (DEAL)
Deliver: Every team member contributes by shipping code, designing features, or engaging directly with customers to transform ideas into tangible products.
Empower: We believe in taking initiative beyond job titles. If you spot a challenge or an opportunity, you are encouraged to act.
Align: Collaboration is key; we tackle challenges together with openness and humility.
Learn: Our culture thrives on exploring new ideas, tools, and methodologies.
The Role
As a founding engineer, you'll collaborate closely with our founders to shape the product and architecture from inception. Your involvement as an early team member will greatly influence system design and our engineering culture. While prior experience is not mandatory, familiarity or interest in LLMs and Machine Learning will be highly valued.
Responsibilities
Design & Build: Create scalable, high-performance APIs to deliver financial data and develop them into product features.
AI-Powered Systems: Utilize LLMs to generate datasets and research reports, applying evaluations and fine-tuning for accuracy.
Data Processing: Handle large datasets using Airflow, Pandas, and Spark.
Web Crawling: Build robust systems for crawling websites and documents from the internet.
Infrastructure: Oversee infrastructure management with Terraform, Docker, AWS ECS, and monitoring solutions such as Sentry and CloudWatch.
Requirements
A minimum of 2 years in developing scalable software systems.
Proficient in Python and SQL.
Preferred: Comfortable with data processing frameworks like Airflow, Pandas, and Spark.
Preferred: Familiarity with infrastructure automation tools such as Terraform.

