About the role
Alloy.ai is hiring a GTM Engineer on its Sales team in Denver to build its pipeline engine and run it. You'll generate pipeline by prospecting through automation, running volume outreach yourself through the systems you build: a fast, qualified response to every inbound lead and signal-based outbound that reaches consumer brands at the right moment. You'll also own the data and systems underneath, using signals and AI so the go-to-market gets sharper over time. You'll be measured on the pipeline your systems generate.
What you'll do
- Inbound: automate qualification and first response for contact-us, demo and partner leads, route each lead to the right owner with an enriched research brief, and set and track the speed-to-lead SLA
- Outbound: run signal-based email and other campaigns end to end (list building, enrichment, messaging, sequencing), own deliverability (domains, warmup, suppression, send limits) and A/B test messaging by segment
- Sales enablement: deliver a daily prioritised call list for every AE and SDR with who, why now, a direct dial and a talk track; route engaged replies to SDRs; capture call activity
- Systems: build and maintain integrations between Salesforce, HubSpot, enrichment and sequencing tools, own the fields, objects and routing rules, and instrument attribution and response times
Alloy is open to someone building GTM automation for the first time if they have a strong engineering, data or quantitative foundation. The same role is also posted for Vancouver with a different pay range.
What they ask for
- Technical foundation in CS, engineering, data or a quantitative field (degree or equivalent work) and 1–5 years of experience
- 1+ years writing product code, ideally in Python or TypeScript
- Can build third-party API integrations, handling auth, pagination, rate limits and retries unsupervised
- Fluent with agent harnesses such as Claude Code, Antigravity or Codex
- Has automated someone else's workflow and can describe the before and after
- Evidence of self-directed building: side projects, automations or tools
- Commercial curiosity about why buyers buy
- Explains technical work clearly to Sales and Marketing and is comfortable being measured on pipeline
Nice to have
- Exposure to Salesforce, HubSpot, Clay, Apollo or similar
- Time in sales, SDR, growth or marketing ops
- Interest in CPG, retail or supply chain
- Startup experience
Benefits
- Base salary $95,000–$125,000
About Alloy.ai
Alloy.ai is a commerce intelligence system for consumer brands. It unifies data from 500+ sources, including ERPs, retailers, ecommerce platforms and distributors, into one source of truth, and uses its own commerce logic and AI agents to turn that data into demand signals and ready-to-run actions. Sales and supply chain teams at brands such as Liquid I.V., Crayola and Valvoline use it. Alloy describes itself as a fast-growing, well-funded startup with team members from startups, big tech and Fortune 100 companies.
Original listing
Alloy.ai - GTM Engineer (Sales), Denver CO. Lever https://jobs.lever.co/alloy/7545904d-a24b-4088-b397-49bc71fa825a fetched 2026-10-16, open, created 2026-10-15. Hybrid, Full-time, Sales team. Lever salaryRange: 95000-125000 USD per-year-salary. A separate Vancouver BC posting exists with a different range. Alloy.ai: Commerce Intelligence System for consumer brands; unifies data from 500+ sources (ERPs, retailers, ecommerce, distributors); AI agents; customers Liquid I.V., Crayola, Valvoline; fast-growing, well-funded startup. Role: generate pipeline by prospecting through automation, run volume outreach through systems you build; inbound automation (qualification, first response, routing with enriched brief, speed-to-lead SLA); outbound automation (signal-based campaigns, list building, enrichment, messaging, sequencing, deliverability, A/B tests); sales enablement (daily prioritized call list per AE and SDR, route replies, capture call activity); systems (integrations between Salesforce, HubSpot, enrichment and sequencing; fields, objects, routing rules; attribution). Looking for: engineering/data/quant background, 1-5 years experience, 1+ years product code in Python or TypeScript, third-party API integrations (auth, pagination, rate limits, retries), fluent with Claude Code, Antigravity or Codex, automated someone's workflow, self-directed building, commercial curiosity, measured on pipeline. Nice: Salesforce, HubSpot, Clay, Apollo; sales/SDR/growth/marketing ops; CPG/retail/supply chain; startup.