---
title: 'Product Manager at Proton.ai'
canonical: 'https://feeny.ai/job/product-manager-proton-ai-cambridge-4rjwkqdd5ahd'
type: 'job'
last_seen: '2026-09-14'
---

# Product Manager at Proton.ai

- **Company:** Proton.ai
- **Location:** Cambridge, MA
- **Posted:** 2026-09-13
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/protonai/jobs/6190963004

## Job description

## About Us

Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry running on software that has been stuck for decades. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time on customer relationships instead of data entry.

We have been building AI into distribution since 2018, long before it became an industry buzzword. That head start matters, and we've only deepened the investment: in 2025 we shipped the first AI assistant embedded in a distribution CRM and launched a complete agentic product in our PIM offering.

We hire people with high agency and high urgency. Everyone here is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. The median Proton customer reports 3x profit return per dollar spent and an extra day of sales per rep per month. Hundreds of distributors run on Proton, from family-owned shops to publicly-traded enterprises. We're backed by Felicis Ventures and Battery Ventures.

## The Role

We're hiring a Product Manager to own product domains end to end. Reporting to the VP of Product, you'll lead a multi-functional squad at the intersection of AI capability and real distributor workflows, turning our positioning advantage into compounding product differentiation.

End to end means further than it usually does. You inherit a problem space rather than a backlog: work out where the real value sits across hundreds of distributors, ship in tight cycles with design partners keeping you honest, prove the thing works in production, then drive adoption across the base and make it something sales can sell without you. There is no handoff point where the domain stops being yours.

Location: Cambridge, MA. Hybrid, 3 days a week in our Harvard Square office.

## What You'll Do

- Own your domain from fuzzy to growth. Take an ambiguous problem space through discovery, definition, build, launch, adoption, and revenue. You are responsible for the outcome.
- Get onsite, constantly. Distributors work in warehouses and on sales floors. Onsite visits, shadowing sessions, and discovery calls are how you learn the domain, and the best calls come from standing next to a rep. Our product people know their users by name.
- Run genuinely iterative development with customers in the loop. Think big, ship small, put working software in front of real users early, and let what you learn reset the next cycle. Design the feedback loop deliberately rather than waiting for feedback to arrive.
- Build hands-on with engineering, design, and data science to ship features and agentic workflows, and to make sure the surrounding UX lets a user act on what AI surfaces.
- Own adoption, not just launch. Run alphas and betas, stay close through the first rollouts, then push adoption across the installed base and watch where it stalls and why.
- Enable GTM. Give sales and CS the positioning, proof, and training they need. Join customer and prospect calls, show the product yourself when it helps, and make sure what you built is sellable and supportable without you in the room.

## What You'll Need to Succeed

- Product and startup experience. At least 2 years managing features end-to-end through the SDLC. Early-stage startup experience (Seed through B or C) is a plus.
- Real agile experience, and the judgment to adapt it. You've worked inside traditional scrum, know what those rituals were for, and can run a tight iterative loop with customers rather than a release calendar. You've shipped something incomplete on purpose because it was the fastest way to learn.
- Technical and AI collaboration. You've built alongside engineers and data scientists to deploy AI-centric features at scale, and you're fluent enough to hold your own with senior engineers on data models, APIs, and service boundaries.
- Daily, hands-on use of AI in your own practice. Claude Code, Cursor, or equivalent, used to ship real work rather than generate artifacts. You can say concretely how you structure context and how you check what comes back.
- Customer-facing range. You're as comfortable in a warehouse aisle with a rep as on a call with a VP of Sales, and you can carry a room in front of a prospect. You'd rather be with a user than briefed about them.
- Data-driven and adaptive thinking. You make data-driven calls while embracing the uncertainty earlier-stage vertical B2B SaaS brings.
- Problem-solving and communication. You navigate complexity, distill the key issue, and communicate clearly to technical and non-technical audiences alike.
- Business sense and a continuous improvement mindset. Strong business intuition and a real appetite for innovation, iteration, and AI excellence.

Big Plus

- Complex B2B, enterprise, or ERP-adjacent software, with high-frequency users and workflows people can't opt out of.
- Agentic products, and the patterns for trust, correction, and handoff between a person and an agent.
- Systems-of-record or integrations work. You understand how messy real-world source data becomes a clean, canonical model, and what breaks when it doesn't.

## Compensation and Benefits

The target salary range for this role is $130-160k salary + quarterly bonus and meaningful equity. Final offers will be based on your skills and previous experience.

- Company-sponsored 401(k) program
- Health, dental, and vision insurance
- Unlimited PTO (and we mean it, we want you to take time off) + 10 company-paid holidays
- 12 weeks fully paid parental leave, primary and secondary caregivers, including adoption and fostering
- Professional development (get that book, take that course, attend that conference)
- Access to the AI tools that make you faster, and encouragement to find new ones
- Annual company-paid offsites
- A friendly, inclusive, human-first team that blends hustle, productivity, and fun

Proton.ai is an equal opportunity employer. Proton.ai participates in the E-Verify program: Notice of E-Verify Participation, Right to Work.

## About Proton.ai

## Company Overview
- **One-liner**: Proton.ai provides an AI-powered industry cloud platform for distributors, unifying CRM, PIM, eCommerce AI, and order/quote entry to streamline sales, inventory, and pricing operations.
- **Entity Type**: Private (Series A)
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: 2018
- **Founders**: Benj Cohen

## Core Business
- **Primary industry**: Distribution technology / Supply chain software
- **Target customers**: Distributors (B2B) across verticals (e.g., industrial, dental, electrical); small to large operations
- **Mission or purpose statement**: “Build the industry cloud for distributors — one data layer, one AI brain, every workflow connected.” (Source: [proton.ai/about](https://www.proton.ai/about))

## Products & Services
- **CRM**: Identifies spending gaps, at-risk accounts, and cross-sell opportunities using AI to help reps prioritize.
- **PIM (Product Information Management)**: Auto-enriches catalog records (specs, attributes) at scale, fixing missing data in minutes.
- **eCommerce AI**: Increases average order value by surfacing complementary products, substitute SKUs, and reorder suggestions based on full transaction history.
- **Order & Quote Entry Automation**: Reads emails, PDFs, and spreadsheets to automatically match SKUs, pull pricing/inventory, and draft quotes/orders.
- **Inventory AI**: Forecasts demand and optimizes stock levels using purchasing patterns, sales velocity, and seasonality.
- **Pricing AI**: Recommends optimal prices per customer and SKU based on margins, transaction history, and competitive signals (waitlist).
- **Platform type**: SaaS with AI-native features

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total funding $20M (Series A, raised 4 years ago as of 2026) – Source: [cbinsights.com](https://www.cbinsights.com/company/protonai)
- **Notable Investors/Partners**: Battery Ventures, Felicis, Abstract, MSC Industrial Direct, Mike Emerson, and 14+ others (Source: [cbinsights.com](https://www.cbinsights.com/company/protonai))
- **Growth Signals**: 
  - Expanding product suite (Inventory AI, Pricing AI in waitlist)
  - Multiple open engineering and go-to-market roles (Senior Recruiter, VP of Finance, Fullstack Engineer, etc.) – Source: [greenhouse.io](http://job-boards.greenhouse.io/protonai)
  - SOC 2 Type II compliant – enterprise-ready security

## Competitive Advantages
- **Purpose-built for distribution**: Platform spans CRM, PIM, eCommerce, order entry, inventory, and pricing – all tailored to distributor workflows.
- **AI-native design**: Uses transaction history, search behavior, and purchasing patterns to automate repetitive tasks (e.g., quote drafting, catalog enrichment).
- **Unified data layer**: One platform replaces multiple disconnected systems, reducing manual data entry and margin leakage.
- **Enterprise security**: SOC 2 Type II compliance enables trust with large distributors.

## Strategic Focus
- **Current priorities**: Launching Inventory AI and Pricing AI modules; expanding the “industry cloud” concept to cover the entire distributor lifecycle.
- **Growth direction**: Deepening AI capabilities, scaling customer base across distribution verticals, and building a complete end-to-end platform.

## Why Work Here
- **Culture**: “Customers first” value; employee feedback treated as equal to customer feedback; collaborative, AI‑forward environment.
- **Benefits** (US employees): 
  - Company equity for all employees
  - 401k with 3% employer match
  - Unlimited required PTO (minimum 2 weeks enforced)
  - 12 weeks paid parental leave (all parents)
  - Comprehensive healthcare coverage
  - Company-paid off-sites and wellness days
  - AI tools provided to every team member to work smarter
  - Flexible schedule and remote-friendly hybrid model (Harvard Square HQ with stocked snacks/coffee)
- **Engineering culture**: “Technical challenges are fun” – team works on cutting-edge AI for an $8 trillion industry; roles include Fullstack AI-Native Engineer, Engineering Manager, AI Product Manager.
- **Growth opportunity**: Early-stage (Series A) with room to shape product and processes.

## Sources
1. [proton.ai](https://www.proton.ai/) – Main website and product descriptions
2. [proton.ai/about](https://www.proton.ai/about) – Leadership, mission, story, values
3. [proton.ai/careers](https://www.proton.ai/careers) – Benefits, culture, open roles
4. [job-boards.greenhouse.io/protonai](http://job-boards.greenhouse.io/protonai) – Current job listings
5. [cbinsights.com](https://www.cbinsights.com/company/protonai) – Funding, investors, headquarters, revenue status

## Other roles at Proton.ai

- [UI Product Designer](https://feeny.ai/job/ui-product-designer-proton-ai-cambridge-0jh982pehmkp) — Cambridge, MA / Europe
- [Enterprise Engagement Manager](https://feeny.ai/job/enterprise-engagement-manager-proton-ai-cambridge-6j4165r68w4t) — Cambridge, MA
- [Senior Data Engineer (AI-Native) — Data Layer](https://feeny.ai/job/senior-data-engineer-ai-native-data-layer-proton-ai-latin-america-europe-0zyhkm7f9g6j) — Latin America / Europe
- [Fullstack Software Engineer (AI-Native)](https://feeny.ai/job/fullstack-software-engineer-ai-native-proton-ai-europe-h621pj9fypyj) — Europe
- [Founding GTM Engineer](https://feeny.ai/job/founding-gtm-engineer-proton-ai-cambridge-y4tz6stjs2g6) — Cambridge, MA
- [Senior Recruiter](https://feeny.ai/job/senior-recruiter-proton-ai-cambridge-p8pryz100n7r) — Cambridge, MA
- [Product Manager](https://feeny.ai/job/product-manager-talon-one-linkedin-jobs-berlin-29s0t9mh9ysc) — Berlin, Germany
- [Product Manager](https://feeny.ai/job/product-manager-mochi-health-san-francisco-4zd754mhy9ds) — San Francisco, CA
- [Product Manager](https://feeny.ai/job/product-manager-wildlife-studios-sao-paulo-vj5hth16c7n2) — São Paulo, Brazil
- [Product Manager](https://feeny.ai/job/product-manager-workwhile-san-francisco-pa8y9pq996mj) — San Francisco, CA