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Apollo.io

Sales intelligence and multi-channel engagement platform

Head of Partner Programs - Strategy and Operations

Sales OperationsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 7 years of experience in Revenue Operations, Sales Operations, Business Operations, Partner Operations, Strategy and Operations, or a related function, including experience in a B2B SaaS environment, across multiple go-to-market functions, and direct Partnerships experience.
  • Experience building an operating function from the ground up, including processes, systems, reporting, and governance where no mature operating model existed.
  • Strong understanding of partnerships and partner-led motions, including agencies, technology and integration partners, channel programs, strategic partnerships, partner economics, attribution, incentives, deal registration, and partner lifecycle management.
  • Ability to identify underlying systems behind recurring problems and develop durable processes, data models, workflows, or automation rather than relying on workarounds.
  • Ability to work with funnel, pipeline, revenue, cohort, and attribution data, connect executive business questions to the underlying data, and distinguish measurement problems from business problems.
  • Ability to align cross-functional stakeholders around an operating model, make tradeoffs explicit, and drive work to completion without relying on formal authority.
  • Ability to contribute to partner strategy while also working through details such as attribution definitions, Salesforce workflows, and revenue-share processes.
  • Ability to create structure with incomplete information, make decisions amid ambiguity, and iterate as partner motions evolve.
  • Ability to write operating proposals, explain systems dependencies to executives, translate ambiguous requests into Engineering requirements, and create usable documentation.
  • Strong ownership and judgment in choosing durable or pragmatic solutions and engaging the appropriate functional owners.
  • Fluency in leveraging AI tools, including using large language models for analysis, SQL development, requirements drafting, process documentation, data-quality investigation, and executive recommendations.
  • Understanding of how to make structured partner data, documentation, and operating context accessible to AI agents and internal tools, including the importance of clean schemas, canonical definitions, semantic documentation, and reliable system interfaces.
  • Ability to validate AI-generated outputs and recognize when first-principles analysis is required.
  • Ability to experiment with evolving AI tools, learn independently, share effective approaches, and identify opportunities to replace manual work with systems.

Responsibilities

  • Build the operating system for Partnerships by establishing processes, systems, data models, and governance; defining ownership across Partner Managers, Revenue Operations, Systems, Data, Finance, Legal, and other stakeholders; and creating an operating cadence.
  • Design end-to-end partner motions and commercial models with the VP of Partnerships and Revenue Operations, covering acquisition, qualification, onboarding, activation, revenue generation, expansion, and renewal, including workflows, incentives, tiering, deal mechanics, attribution, systems requirements, and measurement.
  • Own the reporting infrastructure and operationalize reliable partner-performance metrics, including the agency funnel, integration adoption, Partner-Involved ARR, sourced, influenced, and managed attribution, and partner cohort net revenue retention.
  • Build mechanisms that help Partnerships and company leadership assess partner, motion, and investment outcomes; identify data quality and attribution gaps; establish data ownership; drive upstream remediation; and inform investment and scaling decisions.
  • Own partner systems requirements, architecture, prioritization, and operating model in partnership with Systems; develop a systems roadmap spanning Salesforce, PartnerStack, Crossbeam, Apollo, and connected tools; and work with Systems and Data Engineering to ensure partner data is captured, transferred, and usable for reporting and automation.
  • Turn ambiguous cross-functional business needs into structured requirements, identify appropriate owners, and drive execution through to a working operating model.
  • Use operational data to identify partner-lifecycle friction, leakage, and unnecessary manual work; develop business cases for process changes, automation, or tooling; and measure their effects on partner productivity, revenue contribution, data quality, or operating leverage.
  • Own partner-business reporting, measurement, and recurring instrumentation; partner data quality and attribution; partner systems requirements, architecture, and operating processes; partner lifecycle and funnel instrumentation; deal-registration and commercial operations; partner agreement and amendment administration with Legal; revenue-share tracking and payout-process coordination with Finance; partner-related data requests and cross-functional workflows; operating-model and process design and documentation; systems and data build requirements and coordination; and continuous improvement and automation.

About the Company

Apollo.io

Sales intelligence and multi-channel engagement platform

Apollo.io provides a sales intelligence and engagement platform that helps sales teams find leads, research prospects, and build targeted lists using data from over 200 fields. The product combines prospecting, data enrichment, and multi-channel outreach with analytics, and it supports API integrations for custom workflows. It differs from competitors by offering a single platform that unifies data, outreach, and analytics with strong security compliance for ISO, SOC 2, and GDPR. Its goal is to help sales teams operate more efficiently and close more deals by delivering accurate data, scalable outreach, and actionable insights.

Company size
1,001-5,000
Company stage
Series D
Total funding
$251.3M
Headquarters
San Francisco, CA
Founded
2015

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