--- title: 'Fullstack Software Engineer (AI-Native) at Proton.ai' canonical: 'https://feeny.ai/job/fullstack-software-engineer-ai-native-proton-ai-europe-h621pj9fypyj' type: 'job' last_seen: '2026-09-07' --- # Fullstack Software Engineer (AI-Native) at Proton.ai - **Company:** Proton.ai - **Location:** Europe - **Posted:** 2026-05-12 - **Last confirmed live:** 2026-09-07 - **Apply:** https://job-boards.greenhouse.io/protonai/jobs/5994707004 ## Job description Fullstack Software Engineer (AI-Native) ## 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, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. 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 deepening customer relationships, not entering data. We hire people with high agency and high urgency. At Proton, everyone 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, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on Proton. We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. ## The Role We're hiring a Senior Fullstack Engineer to ship products end-to-end across our CRM platform for distributors. This is a generalist role: any layer of the stack, any type of work — frontend, backend, data, integrations — wherever the user impact is. You'll work closely with PMs, designers, and other engineers to scope, build, and deploy features that distributors feel directly. Periodically, you'll work directly with customers to support onboarding, troubleshoot integrations, and help distributors get the most out of the platform. You'll be the person who can sit with a customer's IT team, understand how their ERP is configured, and translate that into something Proton can work with. Expect occasional travel to customer sites a few times a year. Two things make this role different from a standard fullstack opening: - You're an AI-native operator, not a code writer. Every engineer at Proton uses Claude Code (and other agentic dev tools) as a first-class collaborator. We expect features to be designed, built, reviewed, tested, and shipped with heavy AI leverage. You should already work this way — guiding agents, structuring context, validating output, and making judgment calls AI can't. - You're a generalist by default. We don't silo engineers into "frontend only" or "backend only." When a feature needs a Vue component, a Python handler, a Postgres migration, an Airflow DAG, and an ERP integration, you're expected to handle all of it — with AI doing the typing and you doing the thinking. Location: Remote Compensation: $80k – $100k base salary, depending on experience. Includes equity and full benefits. ## What You'll Do - Own end-to-end delivery of features — from refining tickets to deployment, monitoring, and iteration. - Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run multiple agents in parallel where it makes sense, and ship reviewed, production-quality output. - Move fluidly across the stack — TypeScript/Vue on the frontend, Python on the backend, SQL and data modeling, infra touchpoints. Pick up whatever the work needs. - Collaborate in a squad model with PMs, designers, and engineers; participate in 2-week sprints, standups, refinements, retros, and code reviews. - Design schemas, queries, and APIs that hold up at scale — performance, reliability, and correctness are on you, not on the agent. - Contribute to engineering practices: better patterns, better tooling, better ways to use AI across the team. - Spend time with customers onsite a few times a year — distributors operate in warehouses and on sales floors, and the best product calls come from being there in person. ## Requirements - 5+ years as a software engineer with real, demonstrable fullstack delivery — production systems, real users, real ownership. Resume-level hands-on experience, not LLM-generated portfolios. - Strong fundamentals. You understand what the code is doing and why. You can read a stack trace, reason about a query plan, debug a race condition, and tell when an agent is wrong. We are explicitly not hiring "vibe coders" who depend on AI to compensate for missing fundamentals — AI amplifies seniority, it doesn't replace it. - Daily, hands-on use of agentic dev tools. Claude Code, Cursor agent mode, Codex, or equivalent — used to ship real features, not just autocomplete. You can talk concretely about how you structure prompts, manage context, parallelize agents, and verify their output. - Generalist instinct. You're comfortable jumping between Vue, Python, SQL, infra, and integrations. You don't wait for someone else to take the layer you're "not assigned to." - Database and systems chops. You design efficient schemas and queries, understand indexing and tradeoffs, and can reason about distributed-system failure modes. - Startup mindset. Pragmatic, fast, biased to ship, comfortable with ambiguity, close to users. - Strong communication. You can explain technical decisions to PMs, designers, and customers — in writing and in person. - Ownership and judgment. You take features from idea to production and exercise good taste on what to build, what to cut, and when AI output isn't good enough. Big Plus - Experience building integrations with distribution ERPs (Epicor Eclipse, P21, or similar) — ingesting orders, products, customers, pricing; reconciling messy real-world data. Bonus if you've done this in a customer-facing or implementation context. - Experience building or integrating with agentic products — MCP servers, tool-using agents, agent frameworks, evals, prompt/context engineering at the system level. - Prior experience at an early-stage SaaS startup. ## Benefits - Competitive salary + company stock options — we want you to feel like an owner. - Flexible schedule with high autonomy. - Unlimited PTO + 10 company-paid holidays. - 12 weeks fully paid parental leave (primary and secondary, including adoption and fostering). - Annual company-paid offsites. 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 - [Customer Education Lead](https://feeny.ai/job/customer-education-lead-proton-ai-cambridge-x90z5s9by18k) — Cambridge, MA - [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 - [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