Responsibilities

• Design, build, and own the outbound engine — signal detection, account scoring, enrichment, and multi-channel sequencing — using tools like Clay, Apollo, HeyReach, and LLM-powered workflows
• Turn buying signals into pipeline: new CPO appointments, ERP migrations, cost-reduction mandates, earnings-call language, and procurement transformation announcements across our target verticals
• Generate and qualify enterprise opportunities for the US market, owning the motion from first signal to a qualified meeting handed to the Account Executive team
• Build and maintain the data infrastructure behind the commercial motion — CRM hygiene, enrichment pipelines, lead routing, and attribution — so every rep works from clean, current, actionable data
• Prototype AI agents for research, personalization, and follow-up, then productionize the ones that work; kill the ones that don't, fast
• Instrument everything: define the metrics, build the dashboards, and run the experiments that tell us which messages, channels, and segments actually convert
• Work directly with the founders — what you learn from signal data, reply patterns, and prospect conversations feeds into positioning, pricing, and the product roadmap in real time
• Codify what works into repeatable playbooks; the systems you build become the foundation the entire US GTM team scales on
• Partner with Account Executives on strategic accounts, engineering bespoke research and outreach for the deals that matter most

Requirements

• 2+ years in a GTM engineering, growth, sales development, or revenue operations role — ideally in B2B SaaS or enterprise software — with verifiable pipeline or revenue outcomes you engineered yourself
• Hands-on proficiency with the modern GTM stack: enrichment and orchestration platforms (Clay or equivalent), sequencing tools, CRM administration, and API-based integrations between them
• Demonstrated ability to use LLMs beyond chat — you've built prompts, chains, or agents into a working revenue workflow, not just experimented on the side
• Evidence of systems you built independently that produced measurable results — a workflow you designed, an experiment you ran, a process you automated end to end
• Professional Skills: - Comfortable operating where the process is still being defined — you build structure rather than relying on it - Analytical by default — you form hypotheses, test them against data, and change course without ego when the numbers disagree - Write outbound copy that senior procurement and finance executives actually answer — concise, specific, and grounded in their business - Enough genuine interest in AI and procurement to hold a substantive conversation with sophisticated buyers about the problem Monq solves

Preferred

• Working knowledge of SQL, Python, or JavaScript for data manipulation and workflow automation
• Experience in procurement technology, supply chain software, or enterprise SaaS
• Background targeting energy, retail, manufacturing, or financial services — Monq's core verticals
• Previous experience in an early-stage company where you contributed to building the GTM function from scratch