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Role Overview:
- This is a hybrid role combining software engineering, data science, and revenue strategy to architect an AI-first GTM ecosystem.
- You will bridge the gap between Sales, RevOps, Marketing, and Customer Success, ensuring every GTM team member is augmented by AI.
Key Responsibilities:
- Design, code, and deploy custom AI integrations from scratch, connecting CRM and sales engagement platforms via APIs.
- Build proprietary internal LLM-based tools for account and contact enrichment, and outbound messaging for early and middle funnel prospects.
- Develop agentic workflows to automate routine administrative tasks across the revenue organization.
Qualifications:
- 5+ years of experience in Marketing/Revenue Operations or GTM Engineering with deep understanding of L2R funnel and SaaS ecosystems.
- Ability to write production integrations in Python, JavaScript, or equivalent, connecting AI agents to CRM, MAP, and sequencing tools.
- Proven track record of consolidating tech stacks and reducing vendor spend without sacrificing performance.
Why Join Us:
- Opportunity to join a growing business launching into its next phase of expansion and transformation.
- Collaborative culture where idea-sharing is prioritized over hierarchy.
- Compensation based on experience and desired skill set.
QAD
QAD is a world-class SaaS company providing adaptive, cloud-based enterprise software and services for global manufacturing companies. We are growing and have a collaborative culture of smart and hard-working people who support one another to get the job done.