--- title: 'GTM Engineer (Sales) at Alloy.ai' canonical: 'https://feeny.ai/job/gtm-engineer-sales-alloy-ai-denver-qxb4c6wje5rn' type: 'job' last_seen: '2026-10-19' --- # GTM Engineer (Sales) at Alloy.ai - **Company:** Alloy.ai - **Location:** Denver, CO - **Compensation:** $95k–$125k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.lever.co/alloy/7545904d-a24b-4088-b397-49bc71fa825a ## 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. ## The Role The best sales teams of the next decade won’t win by making more calls. They’ll win by knowing exactly which calls matter. Alloy is hiring a GTM Engineer to build that engine and run it. You’ll generate pipeline by prospecting through automation, running volume outreach yourself through the systems you build. That means a fast, qualified response for every inbound lead and signal-based outbound campaigns that reach the right consumer brands at the right moment. You’ll also own the data and systems behind it all, using signals and AI to turn our go-to-market into a system that learns and gets sharper over time. This is a builder role at an AI-first company. You’ll build from the ground up, try ideas fast, ship working systems, and be measured on the pipeline they generate. ## What You'll Do Inbound automation - Automate qualification and first response for Contact Us, demo requests, and partner leads, with a human handoff for good fits. - Route every inbound lead to the right owner with an enriched, researched brief attached. - Instrument speed-to-lead and set the SLA it's measured against. Outbound automation - Run signal-based email and other outreach campaigns end-to-end: list building, enrichment, messaging, sequencing. - Own deliverability: domains, warmup, suppression lists, and send limits. - A/B test messaging and report results by segment. Sales enablement - Deliver a daily prioritized call list for each AE and SDR: who, why now, direct dial, and a talk track. - Route engaged campaign replies to the SDRs for follow-up. - Capture call activity (dials, connects, meetings) so phone performance is visible. Systems that make the automation work - Build and maintain the integrations between Salesforce, HubSpot, enrichment, and sequencing tools that your automations run on. - Own the fields, objects, and routing rules the automations read and write. - Instrument your own output: source attribution for automation-sourced opportunities, and response times. ## What We're Looking For You have an engineering, data, or quantitative background, you're deeply curious about how companies find and win customers, and you may be building GTM automation for the first time. You pick up new domains quickly and ship without waiting for a detailed spec. - A technical foundation (CS, engineering, data, or quantitative), from a degree or equivalent work, and 1 to 5 years of experience. - 1+ years of writing product  code, most comfortably in Python or TypeScript. You can build an integration against a third-party API, handling auth, pagination, rate limits and retries without supervision. - Fluent with agent harnesses like Claude Code, Antigravity or Codex - You have automated someone else's workflow before and can describe what the before and after looked like. - Evidence of self-directed building: side projects, automations, or tools you made because you wanted to, not because you were assigned. - Commercial curiosity: you're interested in why buyers buy and what makes outreach work, not only in the technology. - You explain technical work clearly to Sales and Marketing, and you're comfortable being measured on pipeline. Nice-to-have - Exposure to Salesforce, HubSpot, Clay, Apollo, or similar tools. - Time in a sales, SDR, growth, or marketing ops role. - Interest in CPG, retail, or supply chain. - Startup experience. ## 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. [alloy.ai](https://alloy.ai/engineering) ## Other roles at Alloy.ai - [GTM Engineer (Sales)](https://feeny.ai/job/gtm-engineer-sales-alloy-ai-vancouver-7h2dt167n20f) — Vancouver, Canada - [Head of Data Partnerships](https://feeny.ai/job/head-of-data-partnerships-alloy-ai-denver-cdbc45fqxxww) — Denver, CO - [Data Engineer](https://feeny.ai/job/data-engineer-alloy-ai-washington-vxdsk55my31d) — Washington, DC - [Technical Customer Support Specialist](https://feeny.ai/job/technical-customer-support-specialist-alloy-ai-washington-vekstxe9b5sq) — Washington, DC - [Senior Manager, Content & Product Marketing](https://feeny.ai/job/senior-manager-content-product-marketing-alloy-ai-vancouver-x5mjadbj1xwm) — Vancouver, Canada - [Senior Manager, Content & Product Marketing](https://feeny.ai/job/senior-manager-content-product-marketing-alloy-ai-denver-gscf5gcc66dh) — Denver, CO - [Customer Success - Enterprise Engagement Manager](https://feeny.ai/job/customer-success-enterprise-engagement-manager-alloy-ai-washington-ae32hfpz31qn) — Washington, DC - [Customer Success - Enterprise Engagement Manager](https://feeny.ai/job/customer-success-enterprise-engagement-manager-alloy-ai-denver-2bkj614bmkab) — Denver, CO - [Customer Success - Enterprise Engagement Manager](https://feeny.ai/job/customer-success-enterprise-engagement-manager-alloy-ai-vancouver-2c18jctec7mb) — Vancouver, Canada