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
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.
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.
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.
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.
Inbound automation
Outbound automation
Sales enablement
Systems that make the automation work
What We're Looking For
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.
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.
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.
Nice-to-have
Skills Required
- Technical foundation in computer science, engineering, data, or a quantitative field through a degree or equivalent experience
- 1 to 5 years of professional experience
- At least 1 year writing production code, preferably in Python or TypeScript
- Ability to build third-party API integrations with authentication, pagination, rate limits, and retries independently
- Fluency with agent harnesses such as Claude Code, Antigravity, or Codex
- Experience automating another person's workflow and explaining the before-and-after process
- Evidence of self-directed building through side projects, automations, or personal tools
- Commercial curiosity about buyer behavior and effective outreach
- Ability to explain technical work clearly to Sales and Marketing teams
- Comfort being measured on generated pipeline
- Exposure to Salesforce, HubSpot, Clay, Apollo, or similar tools
- Experience in sales, SDR, growth, or marketing operations
- Interest in CPG, retail, or supply chain
- Startup experience
What We Do
Alloy.ai is purpose-built to help consumer goods brands sell more products, save time and solve complex supply chain challenges. With daily SKU-store level insights in Alloy.ai, brands can quickly sense problems, respond in seconds instead of days, and predict issues their competitors won’t see coming. Alloy.ai is built on a cloud data platform powered by 850+ pre-built connectors that integrate point-of-sale and inventory data with supply chain data — giving brands complete and instant visibility into demand and inventory across their network. Alloy.ai is trusted by companies ranging from the Fortune 500 to digital-natives, including Crayola, Bic, Valvoline, Bosch, Simplisafe, and Melissa & Doug. Customers routinely achieve a 35%+ reduction in out-of-stocks, a 5%+ bottom line impact, and millions of dollars in incremental orders with their retail partners.
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