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SugerSugerSan Francisco, CA

Revenue Operations & AI Systems Manager

Build and own AI-powered revenue operations systems for sales, partnerships, CS, and finance workflows at a high-growth B2B SaaS company. Translate ambiguous problems into automations, agents, forecasting, and metrics systems; requires hands-on AI building experience plus deep SaaS metrics and analytical background. Reports directly to CEO.

120k – 200k
Hybrid5+ YOERevenue Operations

About the role

What You’ll Own

  • Own revenue operations across sales, partnerships, customer success, and finance-facing GTM workflows.
  • Build systems that help the revenue team operate faster and make better decisions, including agents, workflows, skills, and automations.
  • Translate business problems into operational systems across forecasting, account prioritization, renewal tracking, pipeline risk, customer expansion, and sales execution.
  • Partner with FP&A and accounting to connect revenue performance, bookings, ARR, retention, cash impact, and planning.
  • Create lightweight processes that improve decision-making without unnecessary bureaucracy.
  • Focus on building systems that drive action, not reporting for reporting’s sake.

Who We’re Looking For

You are either:

  • An operator with an insane work ethic who has experience building internal systems for GTM teams at a high-growth B2B SaaS company (building the systems yourself, not just buying/implementing tools).
  • OR a former technical investment banker or management consultant with strong analytical horsepower and a technical background.

Requirements

  • Hands-on experience building with AI tools, agents, workflows, GPTs, skills, and automation platforms.
  • Strong understanding of SaaS metrics including ARR, bookings, pipeline, NRR, GRR, churn, expansion, CAC, payback, and sales efficiency.
  • Experience in RevOps, strategic finance, FP&A, consulting, business operations, or another highly analytical role.
  • Comfort working through ambiguous business problems and turning them into working systems.
  • High agency, low ego, and a builder mindset.
  • Understand (or be highly motivated to learn) how modern AI systems work in practice: prompts, context management, memory, tool use, evals, handoffs, and workflow design.

Nice-to-Haves

  • Experience building practical systems over configuring tools like Zapier (though tools like Zapier are used when useful).

Compensation & Benefits

  • Salary: $120,000–$200,000/year, depending on experience, market location, and overall fit.
  • Competitive salary, comprehensive health insurance, monthly office stipends, meaningful equity plan, benefits.
  • Well-funded with long runway.
  • Fast-moving flat org with hubs in SF and Vancouver.

Skills

AI AgentsAI WorkflowsGptsAutomation PlatformsSaaS MetricsArrNrrGrrChurn AnalysisRevenue ForecastingFP&ARevopsStrategic FinanceBusiness Operations
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