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Founding Engineer - Scend

Role overview

Qualifications

  • 2+ years building scalable software systems
  • Expertise in Python and SQL
  • Experience with data processing frameworks (Airflow, Pandas, Spark)
  • Familiarity with infrastructure automation tools (Terraform, Docker)

Responsibilities

  • Architect scalable, high-performance APIs to serve financial data and turn them into product features
  • Build AI-powered systems: generate datasets and research reports using LLMs, applying evals and fine-tuning to drive accuracy
  • Process large datasets using Airflow, Pandas, and Spark
  • Develop and maintain infrastructure with Terraform, Docker, AWS ECS, and monitoring tools like Sentry and CloudWatch

About the company

Endless Commerce logo

Endless Commerce

Endless is a modular, AI-powered commerceOS. We’re claiming the white space between Excel and Netsuite—and building the future of UI.

Company details

Company size2 - 10

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Job description

Founding Engineer - Scend

Who We Are

Scend is on a mission to modernize M&A and bring efficiency to private markets. With a strong team, early customers, and backing from top investors like Pear VC, we’re positioned for rapid growth.

You’ll join a lean, high-impact team who share a passion for building beautiful, functional products. Our team brings deep expertise across tech and finance: with backgrounds spanning M&A, private equity, consumer fintech, and the Python open-source community.

Our Values (DEAL)

  1. Deliver: Everyone ships code, designs features, or works directly with customers to turn ideas into products.

  2. Empower: We are more than our job titles. If you see a problem or an opportunity, you’re empowered to take action.

  3. Align: We solve problems together, openly and with humility.

  4. Learn: We’re always exploring new ideas, tools, and ways of working.

The Role

You’ll work directly with our founders to shape the product and architecture from the ground up. As an early team member, you’ll have an outsized impact on everything from system design to our engineering culture. While prior experience is not required, a background or interest in LLMs and Machine Learning is a big plus. 

Responsibilities

  • Design & Build: Architect scalable, high-performance APIs to serve financial data and turn them into product features

  • AI-Powered Systems: Generate datasets and research reports using LLMs; applying evals and fine-tuning to drive accuracy

  • Data Processing: Process large datasets using Airflow, Pandas, and Spark

  • Web Crawling: Develop high-scale systems for crawling sites and docs from the web

  • Infrastructure: Manage infrastructure with Terraform, Docker, AWS ECS, and monitoring tools like Sentry and CloudWatch

Requirements

  • 2+ years building scalable software systems

  • Expertise in Python and SQL

  • Plus: Comfortable with data processing frameworks (Airflow, Pandas, Spark)

  • Plus: Familiarity with infra automation tools (Terraform, Docker)

  • Plus: Background in LLM systems and Machine Learning

Perks & Benefits

*If you’d like to add a perk, let us know! As a founding team member, you’ll play a key role in shaping our culture.

  • Competitive Compensation & Equity: You’ll have a meaningful stake in our success.

  • Healthcare: Comprehensive medical, dental, and vision coverage.

  • Flexible Environment: We’re based in NYC and value in-person collaboration, but we’re open to remote arrangements for exceptional talent

  • Early Team Influence: Your input will shape our product, culture, and future.

  • Growth & Culture: We invest in your growth (courses, books, conferences) and regularly host team events, offsites, and socials to build our team culture. 

  • Unlimited PTO

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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