Demo

Data Scientist (AI)

Topline Pro
Boston, MA Full Time
POSTED ON 5/3/2025
AVAILABLE BEFORE 6/2/2025

About Topline Pro

We’re building AI-powered Shopify for service professionals. We empower service pros (e.g., roofers, landscapers, painters, cleaners) to acquire direct business, fast. Up and running within minutes using Gen AI, our digital storefront products help pros get discovered, trusted, and booked repeatedly.


Topline Pro is co-founded by Nick Ornitz (CEO) and Shannon Kay (CPO) with an excellent team of 40 , including VP of Engineering, Goss Nuzzo-Jones, with plans to expand more in 2025. We serve thousands of local service businesses and were named as one of the Top 50 Tech Companies building for SMBs in both 2023 and 2024.


We're backed by leading investors including Y Combinator and Forerunner Ventures (Series A 2023) with several years of runway, and we’ve experienced rapid growth in the past year.


About our Customer

Home service business owners have historically paid thousands for services that now can be delivered faster and at a fraction of the cost through Topline Pro.


Topline Pro has generated over $200 million in business for our customers across thousands of businesses in nearly all 50 states. Examples of some of our favorite stories include those of Jered, a landscaper in Daytona Beach, FL, who grew his business from $70k to over $2.2M, and Lauren, a painter in Adrian, MI, who started and grew her business to nearly $1M. Both in about a year of working with Topline Pro.


Our customers tend to be in the field and on the move, which drives our ardent focus on simple and intuitive yet powerful mobile web app design today, and in the future, native mobile app design. We've found innovative ways to meet our customers where they are both inside and outside our application.


About the Role

We’re hiring an AI Data Scientist to join the team here in Boston, which provides an opportunity to have a significant impact on the product. Come help us scale to the next level!


You will have the opportunity to make a huge impact on a small yet growing team and culture. Our Engineering organization currently operates in three Agile pods. In this role, you will work within one of those pods, reporting to the VP of Engineering.

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⚡ What you'll do
  • Enhance AI Agent and Chat Capabilities – Develop AI-powered assistants that help our customers run their small businesses
  • Deploy & Scale AI Features – Build infrastructure and pipelines to support real-time AI interactions in a production environment
  • Experiment & Iterate – Prototype new AI applications, evaluate their performance, and continuously refine them based on user feedback
  • Work closely with our engineering, product and operations leaders, contributing strategically and playing a key role in the product development process


🎯 What we're looking for
  • 2 years of experience in AI, machine learning, or NLP-related data science roles
  • Strong analytical skills with the ability to break down complex, unstructured problems and derive insights from data
  • Experience with embeddings, vector databases, and retrieval-augmented generation (RAG) for search and recommendation systems
  • Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation
  • Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Hugging Face
  • Experience working with structured and unstructured data using SQL, pandas, and other data processing tools
  • Experience in an Agile Scrum environment
  • Excellent written and verbal communication skills
  • Team player with a passion for learning
  • Goofball who loves having fun


🙌 What we offer
  • Competitive cash compensation and equity package
  • Unlimited vacation, 9 company holidays, and 1 personal volunteer day a year
  • Medical/dental/vision coverage
  • 401(k) plan
  • Fun-filled team that doesn’t take themselves too seriously, including virtual cameos from the team dog mascots Caro and Alta


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$90,000 - $150,000 a year
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Salary : $90,000 - $150,000

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