Jobs · Sales · New York

Revenue Operations / AI Systems Lead

AILY LABS · New York, United States · 1 mo ago
On-siteSalesFull-time

About the role

Mission As our Revenue Operations / AI GTM Systems Lead, you will own the AI-powered operating system at the heart of our commercial organization. You’ll design, build, and run the systems and agentic workflows that power how we generate pipeline, forecast revenue, and make high-impact GTM decisions. You’ll sit at the center of the business—partnering closely with Sales, Marketing, Product, Finance, and senior leadership—to ensure our data, tooling, and AI agents work together seamlessly as we scale. This is a hands-on, high-ownership role with direct influence on how we grow and serve a global F500 enterprise customer base.

Responsibilities

  • Own and scale our GTM technology stack, acting as the primary architect and operator for CRM, revenue tooling, and data infrastructure.
  • Design and deploy agentic AI workflows that autonomously support forecasting, pipeline management, deal inspection, and GTM decision-making.
  • Create systems and data models that underpin revenue forecasting, performance management, and planning across complex enterprise sales motions.
  • Build reporting, insights, and AI-driven recommendations that help GTM leaders move faster and make better decisions.
  • Partner cross-functionally with Sales, Marketing, Product, Engineering, and Finance to align data flows and ensure a single source of truth across the business.
  • Act as a trusted delivery partner to commercial leadership, translating strategy into scalable, production-grade systems.

Requirements

  • You’ve owned and scaled CRM and GTM systems in a high-growth B2B SaaS environment, ideally supporting enterprise or complex sales motions.
  • You have a proven track record of designing and deploying AI/LLM-powered systems or agent workflows that materially changed how revenue teams operate.
  • You’re both strategic and hands-on—comfortable setting direction with senior stakeholders and building the systems yourself.
  • You’re analytical and data-driven, with experience building end-to-end automation pipelines, data models, and operational workflows.
  • You enjoy working in ambiguous environments and are motivated by problems that sit directly on the path to revenue.
  • You care deeply about quality, scalability, and real-world impact—not demos or experiments that never ship.

Qualifications

  • Experience in a high-growth B2B SaaS environment, preferably in enterprise or complex sales motions.
  • Proven track record of designing and deploying AI/LLM-powered systems or agent workflows.
  • Strong analytical and data-driven skills, with experience in building automation pipelines, data models, and operational workflows.
  • Comfortable working in ambiguous environments and motivated by impactful results.
  • A deep passion for quality, scalability, and real-world impact.

Skills

  • Strong understanding of CRM systems and GTM processes.
  • Experience with AI and machine learning tools and platforms.
  • Excellent communication and collaboration skills, especially with cross-functional teams.
  • Ability to translate business needs into technical solutions and vice versa.

Benefits

  • Hybrid working model: New York-based with 2 days per week in the office for collaboration and momentum.
  • Founded in 2020, we've grown to c350 people, with backing from tier one investors.
  • Internationally diverse team with more than 30 nationalities working from our offices in New York, Barcelona, Madrid, Munich, and Cluj.
  • We offer a hybrid work mode, with 2+ days onsite each week.
  • This role is based in New York.
  • We're curious about new technologies and encourage experimentation.
  • We do cool and fun offsites (e.g., Ibiza, Kitzbühel, Miami) and regular casual get-togethers.

Pay

Competitive salary and benefits package tailored to individual performance and experience.

Schedule

Hybrid working model: New York-based with 2 days per week in the office for collaboration and momentum.

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