--- title: 'Software Developer, Full Stack at Alloy.ai' canonical: 'https://feeny.ai/job/software-developer-full-stack-alloy-ai-vancouver-1r5d4xxh4qbd' type: 'job' last_seen: '2026-09-14' --- # Software Developer, Full Stack at Alloy.ai - **Company:** Alloy.ai - **Location:** Vancouver, Canada - **Compensation:** $85k–$140k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2021-05-03 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.lever.co/alloy/3e3fe5c7-af9c-4aee-a3d2-bfe8b2905437 ## Job description ## About Alloy.ai Alloy.ai is the Commerce Intelligence System for consumer brands. We unify data from 500+ sources — ERPs, retailers, ecommerce platforms, and distributors — into a single source of truth your team can bet their P&L on. Our proprietary commerce logic and AI Agents translate fragmented data into clear demand signals and prepare execution-ready actions — automatically. Sales and Supply Chain teams at brands like Liquid I.V., Crayola, and Valvoline use Alloy.ai to capture every revenue window, protect margins, and keep products on the shelf. From signal to action. Instantly. Alloy.ai is a fast-growing, well-funded startup with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another. We encourage people of all backgrounds to apply. Alloy.ai is committed to creating an inclusive culture, and we celebrate diversity of all kinds. ## About the Role Full-stack engineers tackle many exciting and complex challenges, such as modeling supply chains, implementing scalable and performant query systems, computing inventory recommendations and forecasts, building AI agents and assistants on top of LLMs, and building intuitive applications for sales, marketing, planning, and supply chain professionals. On the frontend, you'll work with a modern web-stack, built with Typescript and React; on the backend you will work with Java. On the infrastructure side, you will be using Terraform, Kubernetes, and Python. In this role, you will: - Directly contribute to the product definition by working closely with our product managers and designers and build a shared understanding of problems. - Leverage LLM coding agents to increase your code writing and reviewing velocity, while maintaining high standards of code quality. - Write simple and extensible code that your colleagues love to read. - Own quality. You'll keep the bugs out by building a deep understanding of what to build, writing tests, and carefully reviewing the code of others. - Focus on simplicity in software design, and focus on delivering incremental value. - Have individual ownership of complex, high-impact problems across the stack. - Lean on others when needed and let others lean on you by mentoring them in areas of your unique strengths. You’ll be a great fit at Alloy if: - The real world and its complexity are fascinating to you. You're innately curious about how products reach consumers efficiently and sustainably. - You are a doer - when you see a problem that needs to be tackled, you deliver incrementally and plan ahead. You have an appetite for learning and embrace ambiguity; you don't easily give up. - You enjoy working with others to identify the highest-priority engineering work and build solutions that you're proud of. - Asynchronous communication is second nature to you. You express complex ideas in an easy-to-understand and respectful manner - both in spoken and written language. - You enjoy uplifting others and taking risks together. Learning about and promoting engineering best practices excites you. - You enjoy actively contributing to an inclusive and high-performing engineering culture that will attract more world-class talent just like yourself. - You have experience or are excited about learning the technologies we use. There's a good chance we didn't get this right! Like with many other things in life, this job description is a work in progress. We'd love to hear from you and what would make you a great fit in our [engineering team](https://alloy.ai/engineering)! What you’ll get for joining: - Base salary $85,000 - $140,000 CAD - Substantial equity package - Flexible vacation policy - RRSP Matching - Comprehensive health coverage - Professional development budget - Monthly Transit Reimbursement - Support from highly experienced mentors - Genuine and welcoming teammates - Quarterly team events - Fully stocked snack-shelf - Paid parental leave Our engineering culture emphasizes code reviews, mentorship, and collaboration. We foster individual ownership of engineering work across our teams and lean on each others' strengths when needed. We strive to write clear, extensible code that your colleagues love to read and keep the bug backlog in check. We focus heavily on promoting best practices for code quality, automation, and testing. Technologies we use Java, PostgreSQL, TypeScript, React, Anthropic, OpenAI, Google Vertex AI, Vite, SASS, Cypress, jOOQ, Dropwizard, Guava, Redis, Python, Pandas, FastAPI, SQLAlchemy, Prophet, Google Cloud Platform, BigQuery, PubSub, Kubernetes, Terraform, Docker ## Our values Focus on what matters: Reevaluate priorities as necessary to pick the work that will have the highest impact to the customer and business. Work hard in a way that is sustainable. Choose the schedule that lets you achieve your best. Measure results, not hours. Respect your time and that of others; come prepared and leave with commitments. Take ownership: Take initiative by proactively identifying opportunities or issues and tackling them. Strive for excellence. Hold yourself and your colleagues to a high standard. Create something that makes you proud. Follow through on our commitments to customers, users, and each other. We are all doers, regardless of role — no task is beneath you. Iterate to excellence: Prefer action over perfection to learn quickly from early feedback. Be flexible and accept the need to make tradeoffs and change directions. Everything is a work in progress, nothing is done. Question prevailing assumptions, but understand them first. Gather evidence and champion ideas that will make our products and our company better. Verify and validate. Communicate openly and respectfully: Offer and expect transparency to build trust. Confirm mutual understanding, especially in the face of disagreement. Treat each other with respect. Criticize constructively — the work, not the person. Have each other’s back: When interacting with each other, always assume good intentions. Trust each other and take risks together. Give praise generously and take joy in others’ accomplishments. Grow a diverse team by actively seeking different backgrounds and cultivating an inclusive culture. Focus on how others’ strengths compliment us, rather than how their weaknesses invalidate them. ## About Alloy.ai ## Company Overview - **One-liner**: Alloy.ai provides a cloud-based demand and inventory control tower that helps consumer goods brands gain real-time visibility into their supply chain, reduce stockouts, and optimize inventory. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2016 - **Founders**: Evan Goldenberg, Joel Beal, Roberto Carli, Zack Reynolds ## Core Business - **Primary industry/industries**: Supply Chain Analytics, Retail Technology, Consumer Goods SaaS - **Target customers**: B2B, mid-market to Fortune 500 consumer goods brands (e.g., Crayola, Bic, Valvoline, Bosch, Melissa & Doug, Ferrero) - **Mission or purpose statement**: To help consumer goods brands sell more products, save time, and solve complex supply chain challenges by making products available where and when they are most needed. ## Products & Services - **Alloy Intelligence**: A POS and inventory analytics solution that helps consumer goods companies reduce stockouts and excess inventory costs. - **Integration**: Automates the real-time collection, cleansing, and enrichment of data from internal systems and partners via 850+ pre-built connectors. - **Modeling**: Harmonizes disparate data across systems to create a unified view of the supply chain from manufacturing to consumer. - **Prediction**: Uses predictive analytics and forecasting engines to anticipate stockouts and predict demand. - **Sense. Predict. Respond.**: An early warning system for demand and supply imbalances using daily SKU-store level data. - **Point of Sale Trends**: A workflow that identifies areas of demand fluctuation and provides insights for addressing root causes. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total Funding (Series A) — exact amount not disclosed on Crunchbase, but the company is described as "well-funded" - **Notable Investors/Partners**: Not publicly listed in detail, but the company has completed a Series A round and is trusted by Fortune 500 brands like Ferrero, Crayola, Bic, Valvoline, Bosch, and Melissa & Doug. - **Growth Signals**: Customers routinely achieve a 35%+ reduction in out-of-stocks, a 5%+ bottom-line impact, and millions in incremental orders. The company has expanded to offices in San Francisco, Denver, Vancouver, Toronto, Washington D.C., and Berlin, indicating strong geographic growth. Headcount is between 51-100 employees. ## Competitive Advantages - **850+ Pre-built Connectors**: A massive data integration moat that makes it easy for brands to plug into Alloy.ai's platform, creating high switching costs. - **Daily SKU-Store Level Insights**: Provides granular, near-real-time visibility that competitors often cannot match, allowing rapid response to demand shifts. - **Proven ROI**: Demonstrable, quantifiable results (35% reduction in stockouts, 5%+ bottom-line impact) create a strong value proposition for new customers. - **Purpose-Built for Consumer Goods**: Unlike generic analytics platforms, Alloy.ai is specifically designed for the complexities of CPG supply chains, including 40-year-old data standards and labor-intensive manual processes. ## Strategic Focus - **Deepening Platform Capabilities**: Continuing to build out predictive analytics and AI-powered features (e.g., forecasting, anomaly detection) to move from "sense and respond" to "predict and act." - **Geographic Expansion**: Growing its presence in Europe (Berlin office) and Canada (Vancouver, Toronto) to serve a global customer base. - **Scaling Customer Success**: Investing in enterprise engagement managers to ensure large customers achieve maximum value from the platform. - **Data Network Effects**: As more brands and retailers connect, the platform's data models and predictions become more powerful, creating a defensible network effect. ## Why Work Here - **Culture**: Emphasizes open, asynchronous communication, individual ownership, and a just-in-time management style. Engineers are given deep context on customer problems and are expected to ship fast. The team hails from successful startups, leading tech companies, and Fortune 100 enterprises. - **Remote/Hybrid/Office Policy**: Hybrid and remote options available. Offices in San Francisco (HQ), Denver, Vancouver, Washington D.C., and Berlin. The company describes itself as a "distributed organization across three sites." - **Notable Perks**: Flexible leave policy, competitive health insurance, professional development budget, equity compensation, parental leave, 401K/RRSP matching, and transit benefits for hybrid employees. - **Engineering Culture**: Engineers work on complex, rewarding problems spanning data processing (terabytes of data), supply chain modeling, and building intuitive applications. Regular knowledge sharing sessions and hackathons are part of the culture. The interview process gives candidates a hands-on glimpse of the company's tech stack. ## Sources 1. [alloy.ai](https://alloy.ai/careers) 2. [alloy.ai](https://alloy.ai/about-us) 3. [jobs.lever.co](https://jobs.lever.co/alloy) 4. [crunchbase.com](https://www.crunchbase.com/organization/alloy-3) 5. 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