Teams at G2

Lead G2’s experimentation practice across products and digital marketplaces. Design experimentation standards, causal inference methods, metrics, guardrails, and analysis approaches; partner with product and engineering to implement experimentation platforms and instrumentation. Build models, design auctions, ship production systems, evaluate modern statistical methods, and address marketplace interference and low-traffic constraints. Mentor data scientists and evangelize rigorous data science practices across the organization.

Own go-to-market strategy and hands-on growth execution for G2’s AI Solutions portfolio, from early beta validation through revenue and integration into G2.com. Responsibilities include defining audiences, positioning products, running acquisition and activation experiments, conducting user research, building pipeline, enabling Sales, monitoring competitive trends, and partnering with Product and Marketing teams. The role requires taking ambiguous, early-stage AI products from zero to revenue in a B2B SaaS environment.

Own and scale marketing-to-sales operations infrastructure across Salesforce, Marketo, Clay, Qualified, and related systems. Manage lead lifecycle architecture, routing, scoring, enrichment, deduplication, data quality, conversational marketing workflows, and funnel optimization. Partner with Marketing, Sales, SDRs, Business Systems, and vendors to improve pipeline quality, speed to lead, and sales efficiency. Implement AI-enabled automation, oversee tool budgets, and support system migrations and process governance.