Head of Revenue Operations

Broccoli AI•San Francisco, CA
•$340,000 - $380,000

About The Position

Broccoli is seeking a Head of Revenue Operations to build and run the operating engine behind its Sales and Customer Success teams. The role leads a multidisciplinary team across GTM Engineering, Program Management, Enablement, and Analytics, and owns the systems, tools, processes, training, and operating rhythms of the revenue organization. It also owns the revenue AI roadmap, putting AI to work to reduce administrative work and improve decisions throughout the customer lifecycle. This is a hands-on role that reports directly to the CRO and partners with that leader on strategy and execution. Broccoli builds AI teammates for plumbing, HVAC, and electrical contractors. Its products handle tasks such as answering calls, booking appointments, customer follow-up, and recovering missed revenue, while integrating with platforms such as ServiceTitan. The company reports more than 140 contractor visits before product development, hundreds of contractors relying on its products daily, and growth to more than $20 million ARR in under two years. It is backed by Khosla Ventures and Y Combinator. The Head of Revenue Operations will build and grow the team; partner with Sales and Customer Success leaders on GTM planning and performance; manage the CRM, GTM stack, data model, and integrations; drive onboarding, training, and certification; establish effective operating cadences; and lead analytics and reporting. The role also stays close to the field by joining sales discovery calls, onboarding sessions, and conversations with customers’ CSRs and dispatchers, ensuring the GTM motion reflects home service businesses’ needs.

Requirements

  • 10+ years of experience in Revenue Operations, Sales Operations, GTM Strategy, or a related field, including meaningful time in a leadership role.
  • Track record of leading and growing multidisciplinary teams across functions such as GTM Engineering, Program Management, Enablement, and Analytics.
  • Hands-on experience applying AI tools and automation to Sales and Customer Success workflows, with evidence of impact.
  • Deep experience with GTM planning, including targets, territories, capacity, forecasting, and pipeline management.
  • Strong command of CRM and GTM systems, such as Salesforce or HubSpot, and the surrounding technology stack and data.
  • Exceptional analytical skills and comfort working directly with data.
  • Ability to build workflows, automations, and dashboards while leading a Revenue Operations function.
  • Strong communication skills, including the ability to explain complex forecasts in plain language.
  • Ownership of outcomes, adaptability in a fast-moving environment, and a high bar for quality.

Nice To Haves

  • Experience in a high-growth technology company.
  • Experience selling to SMBs, the trades, or home services.
  • SQL or similar data skills.

Responsibilities

  • Own the revenue AI roadmap, identifying and implementing AI opportunities across prospecting, call preparation, deal reviews, onboarding, renewals, and expansion.
  • Lead, build, and grow a Revenue Operations team spanning GTM Engineering, Program Management, Enablement, and Analytics; hire, coach, and clarify ownership.
  • Partner with Sales and Customer Success leadership on targets, territory and segment design, capacity planning, quota setting, forecasting, and pipeline management.
  • Own the CRM, GTM stack, data model, and integrations to provide accurate, timely account information and a trusted view of the business.
  • Design onboarding, training, and certification to accelerate new-rep productivity and keep the team current as the product evolves.
  • Establish operating cadences that keep the team aligned without excessive meetings.
  • Lead analytics and reporting on funnel health, conversion, retention, expansion, and rep productivity; identify what is working and recommend actions.
  • Stay close to the field by joining discovery calls, attending onboarding sessions, and spending time with customers’ CSRs and dispatchers.
  • Personally build workflows, automations, and dashboards, and get hands-on with AI tools rather than only planning their use.
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