---
title: 'Head of Data Partnerships at Alloy.ai'
canonical: 'https://feeny.ai/job/head-of-data-partnerships-alloy-ai-denver-cdbc45fqxxww'
type: 'job'
last_seen: '2026-10-19'
---

# Head of Data Partnerships at Alloy.ai

- **Company:** Alloy.ai
- **Location:** Denver, CO
- **Compensation:** $175k–$225k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.lever.co/alloy/832444a0-eed8-4dd3-9a05-96ff13070500

## 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

Consumer goods brands use a lot of software that needs sales and inventory data: financial planning, marketing mix, measurement, ecommerce analytics. Every one of those vendors struggles to get it. Our data partnership program lets those platforms offer retail POS and inventory data to their customers, powered by Alloy.ai's integrations. Current partners include Triple Whale, Drivepoint, and Nectar. You'll be the first dedicated hire and own the business end-to-end: strategy, pipeline, deal structure, contracts, partner enablement, and the product and operating changes that make it work. It's a business inside Alloy.ai, and you'll run it.

This is a different motion from how Alloy.ai sells today. We win here by making partners successful at selling Alloy.ai data to their customers, not by selling to brands directly. That takes its own pricing, contracts, product experience, and implementation process, and you'll build all of them with our Product, Engineering, and Implementation teams. You'll report to into the CEO.

## What you'll do

This is a sales job first. Most of your time goes to getting in front of partners, closing them, and making sure their teams sell. Strategy, contracts, and product work matter because they make that volume possible, not as ends in themselves.

Sell and activate partners (most of your time)

- Triage inbound so good partners move fast and poor fits don't eat the team's time.
- Start outbound. Build the target list, get in front of partner leadership, and close new partners.
- Develop and foster relationships with partner counterparts to grow the partnership and foster introductions to CPGs
- Get partners selling. Train their sales teams, give them the pitch and pricing tools, join their early deals, and run co-marketing (webinars, case studies, launch announcements) with our Marketing team.
- Hold partners to numbers. Set goals for sourced customers and revenue with each partner, review them regularly, and put your time behind the partners that produce.

Make activation repeatable

- Work with our Implementation team to ensure a partner's customer goes from signed to live data fast: credentials collected, data flowing, and the partner able to support them.
- Create and refine the documents that govern best practices for quickly activating partners.
- Bring Product and Engineering the specific gaps that slow partner volume, with a business case they can prioritize against the direct roadmap.

Strategy, pricing, and contracts

- Decide which partner segments to go after.
- Own channel pricing and packaging: partner margin, historical data, location-level access, and when a partner's customer should move to a direct relationship.
- Standardize the partner agreement, order form, and end-user terms so new partners sign in weeks, not months.
- Own the rules: permitted data use, which metrics Alloy.ai is accountable for, retailer compliance, support responsibilities, and rules of engagement with our direct sales team.
- Run the business on a few metrics: partner-sourced ARR, time to activation, retention, and partner productivity.

## What we're looking for

- [2 to 6] years of experience. A background in consulting, strategy, or another analytical role is a plus, combined with time in a commercial role where you went out and won business: startup BD or partnerships, a GM or biz ops role with revenue attached, or founding a company.
- You're a hunter. You can name the deals and partners you sourced and closed yourself, not ones you supported.
- You'd rather be on a call with a partner's sales team than polishing a strategy deck.
- You've built something from zero: a new business line, a program, a market entry, a company. You can point to what exists because of you.
- You can structure a complicated deal. You've negotiated contracts with real terms in them (rev share, data rights, exclusivity, usage limits) and can build the pricing model behind them.
- Comfortable with data and technical concepts. You'll learn what a POS feed contains and what a data share into Snowflake involves well enough to scope it with engineers.
- You lead without authority. Product, Engineering, Implementation, and Finance don't report to you, and you'll need all of them.
- You write clearly. Partners, engineers, and finance will all run off what you write down.

## Nice to have

- Experience building or running a partner, channel, or reseller program, or negotiating data licensing agreements.

- Startup experience

- Experience in CPG or retail data, or at a platform that serves consumer brands

Probably not a fit if

- You'd rather design the program than run it.
- You've never been measured on revenue you personally drove.
- You need a defined playbook. There isn't one yet; you're writing it while you sell.
- You want a large team and budget on day one.

## 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)

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