GTM Engineer

Join Axiad, the identity security company revolutionizing identity risk management. As a GTM Engineer, you will be the operational backbone of the revenue team, designing and building systems that generate pipeline and drive revenue growth. You will work directly with the CRO and revenue leadership, and have the opportunity to architect the GTM infrastructure from the ground up. This is a unique chance to make a significant impact in a rapidly growing company.

• Design, build, and maintain the programmatic outbound engine, including signal-based prospecting and multi-channel sequencing.
• Own the CRM architecture, ensuring the system of record is the single source of truth for every deal, and lead routing, lifecycle stages, scoring models, and data hygiene.
• Evaluate, implement, and integrate the tools the revenue team runs on, including sequencing platforms, conversation intelligence, and proposal automation.
• AI-native operator: You use LLMs, agentic frameworks, and AI tooling as core infrastructure — not novelty. You build AI-powered research, personalization, and scoring workflows that run autonomously
• Data-disciplined: Obsessive about data hygiene, attribution, and measurement. You know that bad data in CRM poisons every downstream decision
• High agency: Speed-oriented, comfortable building in ambiguity. You move without waiting for a playbook, iterate fast, and ship daily. Energized by a nimble team where your work directly moves the number
• Technical fluency: Comfortable with SQL, Python or JavaScript, REST APIs, and no-code/low-code platforms (Clay, Zapier, Make). You write scripts, query data, and build integrations without waiting for engineering
• Revenue instinct: You understand the sales cycle, have empathy for sellers, and build systems that serve pipeline outcomes — not vanity metrics. You've been close to revenue in a prior role and it shows
• Systems builder: You think in workflows and integrations, not tasks. You've built outbound engines, enrichment pipelines, or CRM automation from scratch — and you architect systems that compound over time
• Demonstrated experience building AI-powered workflows — prompt engineering, LLM API integration, agentic task automation. You've shipped AI systems that run in production, not just prototyped in a notebook
• Understanding of outbound deliverability fundamentals — domain warm-up, SPF/DKIM/DMARC, inbox placement, and sender reputation management
• 3–5+ years in GTM engineering, revenue operations, growth engineering, sales engineering, or a technical role within a B2B SaaS go-to-market team. What you've built matters more than how long you've been building
• Prior SDR, BDR, AE, or revenue-adjacent experience that gives you intuition for what sellers actually need is highly valued
• Hands-on experience with CRM platforms (Salesforce or HubSpot) at the architecture level — not just as an end user. You've designed lead routing, built automation, and maintained data integrity
• Proficiency with modern GTM tooling — enrichment and orchestration platforms (Clay, ZoomInfo, Clearbit), sales engagement platforms (<Regie.ai>, Outreach, Salesloft), and workflow automation (Zapier, Make, n8n)
• Working knowledge of SQL and at least one scripting language (Python or JavaScript) and debug a broken workflow is a plus
• Experience in B2B SaaS, cybersecurity, or enterprise sales environments is strongly preferred