VP of Engineering - AI/ML Software Engineer at Boom

  • Programming
  • Fulltime
  • Anywhere (100% Remote) Only
Job Description

We have just closed our Pre-Seed round of $750K with a renowned VC and ex-Marriot Exec group. We've only been operating since August full time. Both Co-Founders have previous exits 8 figure exits too.

We are seeking a highly motivated and visionary VP of Engineering to join our dynamic team in building a cutting-edge AI-powered M&A (Mergers and Acquisitions) platform where you can buy, sell, and invest in small businesses.

Our vision is to build a LLM of small businesses, in order to, create an ubiquitous small business co-pilot. An AI assistant that will help identify strengths and weaknesses and provide playbooks to grow all in real-time.

As our head of engineering, you will have a unique opportunity to shape the direction of our company and revolutionize the way we buy and sell businesses leveraging the power of AI. We're looking for a talented AI/ML engineer to join our mission of helping every American achieve financial freedom through small business ownership. As our second technical hire, you will have the opportunity to build Boom's AI and data foundations from the ground up.

In this role, you will:

Build machine learning models to extract insights from our proprietary dataset of 12M businesses, enabling personalized recommendations and predictive analytics across our platform

Contribute towards the architecture of a proprietary matching engine leveraging different social profiles connecting buyers and sellers based on objective skillsets as well as cultural and personality traits

Build a user experience similar to ChatGPT where a user will be able to extract any information from the knowledge base of a business listing

Develop NLP classifiers and named entity recognition models to structure and extract key attributes from business sale listings

Design a scalable cloud data infrastructure to manage data pipelines, models, and applications

Optimize data processing performance and cost efficiency using tools like Spark, Kubernetes, and serverless architectures

Monitor models in production, retrain regularly, and implement rigorous evaluation protocols

Collaborate cross-functionally with product, engineering, and UX to guide ML applications and translate analytics into actionable insights

Maintain high standards for data quality, documentation, testing, and reproducibility

Our ideal candidate has:

  • 5+ years industry experience developing and deploying ML models to production
  • Expertise building data pipelines and cloud data infrastructure
  • Strong software engineering skills with Python and frameworks like TensorFlow, PyTorch, and pandas
  • Bonus points for NLP skills and MLOps knowledge
  • Passion for our mission of broadening small business ownership

This is a unique opportunity to join an early-stage startup and build AI systems that help everyday Americans achieve their dreams. You'll work directly with the founding team and have immense ownership and impact over a transformative new product experience. Ideally, this role evolves from Engineering Lead to CTO.


1) What is something society believes to be true that you do NOT believe to be true?
2) What is the most difficult thing in your personal or professional life that you had to persevere through? 

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