Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
About the Role
Apollo is seeking a Manager, GTM Analytics & Intelligence to join our Revenue Operations leadership team. This is a senior leadership role sitting at the intersection of GTM strategy, data infrastructure, and analytical execution. You will own the end-to-end analytical capability supporting Apollo's Sales and Post-Sales organizations — leading a team of analysts and serving as the authoritative voice on GTM data strategy, forecasting, metrics governance, and data-driven insight.
You will work closely with BI/Analytics, Sales Ops, CS Ops, Finance, and GTM leadership to define how we measure performance, model our ARR waterfall, standardize our metrics taxonomy, and operationalize the cadences that keep our go-to-market engine running with precision. This is a high- impact role for a senior analytics leader who combines deep technical rigor with the strategic instincts of a revenue operator.
What You'll Do
Team Leadership & Development
- Hire, build, and lead a team of GTM analysts dedicated to supporting Sales and Post-Sales functions, fostering a culture of analytical excellence, ownership, and continuous improvement.
- Set team priorities, manage cross-functional stakeholder relationships, and ensure analytical capacity is aligned to the highest-leverage GTM needs.
- Coach and develop analysts to grow as both technical practitioners and strategic business partners.
GTM Data Strategy & Governance
- Own and maintain Apollo's GTM data strategy — defining how GTM data is structured, governed, and trusted across the organization.
- Partner with the BI/Analytics team to inform reporting model design, establish data governance standards, and drive metrics standardization across Sales, Pipeline Generation, and Customer Success.
- Define, document, and operationalize core GTM metrics including ARR accounting logic, logo definitions, funnel metrics, retention, and expansion — ensuring consistency and confidence across all reporting surfaces.
- Ensure Salesforce and connected data sources are well-understood, accurately modeled, and effectively leveraged across all reporting and analytical workflows.
Analytical Forecasting
- Own and continuously improve Apollo's analytical forecasting capability across all GTM functions and ARR levers, including New Business Sales, Pipeline Generation, Pipeline Coverage, and Customer Retention.
- Build and maintain advanced forecasting models that integrate signals across the full ARR waterfall, enabling leadership to plan with confidence and act with foresight.
- Partner with Finance and GTM leadership on planning cycles, quota setting, and scenario modeling to support resource allocation and strategic decisions.
GTM Data Management & Operating Cadences
- Own the data management processes that underpin Apollo's GTM Operating Cadences — including QBRs, pipeline reviews, board reporting, and executive dashboards.
- Ensure timely, accurate, and actionable data is available to support recurring business reviews and ad hoc leadership requests.
- Define and maintain data pipelines and reporting infrastructure in partnership with BI/Analytics and RevOps.
Data Change Management
- Own and facilitate data change projects that impact GTM reporting, forecasting, or planning functions — including CRM migrations, metric redefinitions, system integrations, and tooling transitions.
- Lead cross-functional alignment on data changes, managing communications, timelines, and validation to ensure continuity of reporting and stakeholder trust.
GTM Strategy & Analytical Insights
- Serve as a strategic analytical partner to GTM leadership, delivering insights and exploratory analyses that surface opportunities, flag risks, and inform GTM strategy.
- Translate complex, ambiguous business questions into structured analyses and clear executive narratives.
- Proactively identify trends across sales performance, pipeline health, customer retention, and competitive dynamics that should influence GTM prioritization.
Qualifications and Experience
- 8+ years of experience in Revenue Operations, GTM Analytics, Strategy & Operations, or a closely related field, with at least 2–3 years in a people management capacity.
- Demonstrated ability to lead and develop high-performing analytical teams in a fast-paced, high-growth SaaS environment.
- Expert-level SQL skills, with the ability to build complex, performant queries and data models.
- Deep experience with Salesforce data and architecture.
- Proven track record of owning GTM data strategy — from metrics standardization and governance through reporting model design and stakeholder enablement.
- Strong experience building and maintaining revenue forecasting models across multiple ARR levers.
- Advanced proficiency in data visualization and storytelling using tools such as Tableau, Looker, or similar.
- Strong understanding of B2B SaaS GTM motions, including acquisition funnels, pipeline economics, retention, and expansion.
- Ability to translate ambiguous business questions into structured analyses and insights.
- Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders, including executive audiences.
- Experience working in fast-paced, product-led, high-growth SaaS companies.
- Exceptional skills in cross-functional collaboration, data analysis, and operational problem solving.