Director / Head of GTM Analytics (GTM Analytics, AI-Powered BI & Revenue Insights) Compensation: $250,000 - $280,000 + Equity Location: Remote The Company A high-growth, venture-backed technology company is building an AI-forward growth platform for a large professional market. The business has reached significant commercial scale and is investing heavily in AI, data infrastructure and automation to change how its teams access and use business insight. The Opportunity This is a chance to take ownership of a GTM analytics function at a point where the business wants to move decisively from reactive reporting to proactive, decision-shaping insight. You will have direct exposure to senior leadership, meaningful autonomy and the opportunity to define how a lean, AI-enabled analytics team operates. The Role You will own analytics across Sales, Customer Success, Marketing and Enablement, making sure leaders can access data they trust and use it to make better decisions. This is a hands-on leadership role combining analytics strategy, executive partnership, technical depth and day-to-day delivery. What You’ll Do • Own and prioritize the analytics roadmap across the full go-to-market organization. • Build reliable reporting and self-serve data access for executives, functional leaders, managers and individual contributors. • Deliver rigorous ad hoc analysis with a clear recommendation and point of view, not simply a set of numbers. • Develop a proactive insights capability that surfaces important trends and opportunities before leadership asks for them. • Identify upstream process and data-quality issues and partner with Operations and Data Engineering to resolve them at source. • Use AI-powered analytics and automation to reduce routine analyst workload and expand self-service across the business. • Lead and develop a small analytics team while setting clear standards for quality, prioritization and stakeholder engagement. What You’ll Bring • Significant experience across analytics, business intelligence or data strategy, with increasing ownership and leadership responsibility. • A track record of supporting or owning analytics for revenue-facing teams such as Sales, Marketing and Customer Success. • Strong SQL, BI/visualization and data-modeling capability. • Experience partnering closely with Data Engineering on data architecture, tooling and quality. • The executive presence to engage confidently with VP and C-level stakeholders and turn complex analysis into a clear business narrative. • A commercial mindset that connects data to revenue outcomes and understands how GTM teams actually operate. • A hands-on, high-ownership approach suited to a lean environment where leaders still build, analyze and solve problems themselves. What This Role Requires • Proven experience owning meaningful GTM or revenue analytics scope. • Strong understanding of common Sales, Marketing and Customer Success metrics and operating rhythms. • Ability to deliver technically credible analysis while communicating recommendations clearly to senior executives. • Willingness to operate hands-on while leading a small team and driving work cross-functionally. Tech Stack • SQL • BI and visualization tooling • Data modeling • Snowflake • Salesforce • Modern cloud data infrastructure • AI-powered analytics and self-serve data tooling Why Join • Own a strategically important function with substantial freedom to reshape how analytics supports business decisions. • Work in an unusually AI-forward environment where automation and internally developed tooling are core to the operating model. • Build something with visible executive impact and the potential for broader scope as the function demonstrates value. About People in AI People in AI is a specialist recruitment partner connecting exceptional AI, machine learning, data, and engineering talent with some of the most ambitious technology companies in the world. We work closely with founders, technical leaders, and hiring teams to represent opportunities accurately and help candidates assess genuine fit.