---
title: 'Backend Engineer at Product Genius'
canonical: 'https://feeny.ai/job/backend-engineer-product-genius-boston-m2htjvv0hs8x'
type: 'job'
last_seen: '2026-09-13'
---

# Backend Engineer at Product Genius

- **Company:** Product Genius
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/productgenius/b9f0cb32-612d-45ff-bc9d-8f0f1d30b5af

## Job description

Role: Backend Engineer Location: Fully Remote (Headquarters in Boston, MA) Working Hours: 9-5 EST Onsite: Travel every 8-10 weeks for a multi-day onsite

Join Us At Product Genius, we don't tell people what to do—we give them the strategic information to make great decisions on their own. We are generous with one another and committed to creating a collaborative, autonomous environment. We are a seed-stage startup with a proven product, customers, and leap-frog real-time learning AI technology ($35M DARPA R&D, patented). We tackle challenging problems, building new systems from scratch and scaling our architecture. Join us and grow with our company.

## Our Team

This is an opportunity to join a high-growth, seed-stage AI startup founded by experts in the field (Ben Vigoda, Steve Papa), with patented, leap-frog real-time learning AI technology. You'll work closely with exceptional AI researchers and software engineers, with the autonomy to make high-impact, strategic decisions that shape our core architecture.

## The Role

You'll build and maintain the backend systems at the core of a real-time learning AI: the APIs and data pipelines that connect live user and merchant behavior to systems that learn from it. You'll work alongside exceptional AI researchers and engineers, with real autonomy to shape how that architecture evolves. This is a hands-on, AI-native engineering role. You'll need to subscribe to agentic-led development. You'll use agentic coding tools daily, including managing multiple parallel coding sessions, to move quickly through a complex and fast-changing codebase. You'll be trusted with context and the freedom to decide how to use it, not handed a task list.

## What You'll Own

- Real-time learning engine. Contribute directly to the systems at the core of the business.
- APIs and data pipelines. Build and maintain the connections between live user behavior and our self-learning systems.
- Engineering practices. Champion practices that safely accelerate the team: AI-assisted coding, streamlined CI/CD, and stronger QA.
- Production ownership. Own what you ship. Dig into logs and traces, find root causes, and improve testing to prevent issues before they recur.

## What We're Looking For

- 5+ years of experience building and maintaining production backend systems.
- Hands-on daily experience with agentic AI coding tools, comfortable managing multiple parallel sessions.
- Experience building APIs and data pipelines connecting live systems to downstream analytics or ML systems.
- Comfortable picking up any language; we typically use Python, SQL, TypeScript, and React.
- Able to jump into a complex, unfamiliar codebase and rapidly get productive in it.
- Collaborative at the level of shared context and problem framing; self-sufficient at the level of code.
- Strong math or analytical background. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.

Strong Plus

- You're the person who spins up a newly released tool or framework just to see what's possible.
- You've run an LLM on your local machine for fun.
- Exposure to containerization and orchestration tooling (Docker, Kubernetes, Terraform, GCP).
- Experience with ClickHouse queries and optimization.
- Comfortable in a fast-moving startup environment where priorities and scope can shift quickly.
- E-commerce industry knowledge or empathy—you understand merchant and customer workflows.
- Experience collaborating cross-functionally with teams like sales and marketing, including hands-on customer integrations.

What This Is Not This isn't a role where tasks arrive fully specified and you execute against a spec. If you want detailed direction before you start, or you'd rather use one AI coding session at a time and review its output line by line forever, this probably isn't the right fit. If you want real ownership over pieces of core infrastructure, the opportunity to contribute to big-picture implementation decisions, and a team that shares context instead of tickets, we'd love to talk.

## Compensation & Benefits

- Competitive salary plus stock options.
- Comprehensive health, dental, and vision insurance.
- 401k with matching contributions.
- Work-at-home office reimbursement benefit.
- Generous paid time off.

## Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law. We go out of our way to recruit people from diverse backgrounds.

## About Product Genius

## Company Overview
- **One-liner**: Product Genius provides an AI-powered personalization engine and TikTok-style shopper feed for Shopify stores, using Large Interaction Models to create real-time adaptive shopping experiences.
- **Entity Type**: Private (funding not disclosed)
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: 2022
- **Founders**: Ben Vigoda

## Core Business
- Primary industry: E-commerce AI / Personalization software
- Target customers: B2B – Shopify merchants and enterprise e-commerce brands (e.g., Steve Madden, Pier 1, Dressbarn)
- Mission or purpose: Deliver 20% more revenue in 20 days for e-commerce stores by making websites that “think” and adapt to each shopper in real time.

## Products & Services
- **Product Genius (AI Shopper Feed)**: A Shopify app that installs in seconds and presents personalized product recommendations alongside Q&A, reviews, and video content. Uses continuous real-time learning (LIMs) to adapt to each shopper’s behavior.
- **Revenue Genius**: Core personalization engine that claims +36% new revenue on average in A/B tests.
- **Content Genius**: Picks the best content for site, ads, and email; automates on-site content.
- **Website Design & Dev Genius**: Saves cost and time on site development and avoids bugs.
- **Enterprise E-Commerce**: Headless integration & APIs, conversational AI search, ad & content integrations, multi-brand/multi-site support, and compliance (ADA, GDPR, CCPA).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding not disclosed; headcount of 12 employees (as of mid-2025/2026)
- **Notable Investors/Partners**: No investor names publicly listed; partners include Shopify (app ecosystem) and brands like Steve Madden, Pier 1, Dressbarn.
- **Growth Signals**: Headcount grew 122.2% YoY; network growing 35% per month; over 913 million monthly shopping interactions and 21.7 million monthly shoppers processed; reported 4–7x ROI for customers.

## Competitive Advantages
- Proprietary **Large Interaction Models (LIMs)** – a continuous real-time learning technology that adapts to each shopper’s swipe, click, linger, and scroll (like a TikTok algorithm for e-commerce).
- Low effort, high impact: setup in under 30 minutes, +36% new revenue average in A/B tests.
- Founder/CEO Ben Vigoda created the first deep learning chips (tensor processors before Google), holds 100+ patents, and is an early contributor to transformer language models (2015).
- Board includes Steve Papa (co-founder of Endeca, $1.3B Oracle exit; co-founder of Toast → $20B IPO) and other experienced operators.

## Strategic Focus
- Expand enterprise features: headless APIs, multi-brand coordination, enterprise compliance, and agency collaboration.
- Grow the Product Genius Network (network effect) by increasing the number of stores and shoppers, making the AI smarter with each interaction.
- Continue hiring across engineering, marketing, and sales to scale the platform.

## Why Work Here
- **Culture**: Team values include being generous with one another and giving people strategic information to make good decisions autonomously.
- **Work style**: Hybrid workspace (combination of remote and on-site) based in Boston/Cambridge, MA; also has presence in Costa Rica, Peru, and Pakistan.
- **Team size**: Small (12 employees) – offers high ownership and impact.
- **Leadership**: Deep technical and business expertise (MIT PhD, DARPA advisory, successful exits). Focus on AI research and real-world deployment.
- **Perks**: Not detailed in available sources, but the company emphasizes a “thinking website” product that drives measurable revenue for clients.

## Sources
1. [productgenius.ai/about](https://www.productgenius.ai/about)
2. [productgenius.ai/](https://www.productgenius.ai/)
3. [builtin.com/company/product-genius](https://builtin.com/company/product-genius)
4. [linkedin.com/company/product-genius](https://www.linkedin.com/company/product-genius)

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