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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 marketing analytics, funnel and campaign reporting, lead scoring, routing, data reconciliation, and Marketing-to-Sales handoff workflows. Build dashboards, validate Salesforce and Marketo data, manage RingLead logic, troubleshoot routing issues, and perform recurring QA across go-to-market systems. Partner with BI and Data teams, identify optimization opportunities, present findings to leadership, and use AI tools to accelerate reporting and data-quality workflows.

Own the Data Solutions business end to end, including revenue, strategic client relationships, team leadership, and product direction. Source and close complex data deals with institutional investors, build predictable pipelines, guide pricing and forecasting, drive account adoption and expansion, coach sales and client support teams, and translate investor feedback into product roadmaps.

Build and launch AI- and agent-powered products across the full stack. Architect scalable systems, direct AI agents, validate functionality through QA and model evaluations, and ensure observability and maintainability. Partner with product managers, designers, stakeholders, and engineers to define and prioritize features, prototype solutions, and ship MVPs. Promote agentic engineering practices, share knowledge, and influence team adoption of AI-assisted development workflows.

Partner with product teams to build data products, dashboards, and self-service AI/agent tooling. Own product metrics, run exploratory and ad-hoc analyses, improve data quality and governance, and translate analysis into clear recommendations to drive product OKRs.

The Senior Lifecycle Marketing Manager develops and executes marketing strategies for software buyers and vendors, focusing on engagement and retention through email marketing, data analysis, and cross-functional collaboration.

Own the strategy and roadmap for G2’s full Content portfolio, integrating content systems, AI-enabled workflows, advertising or activation products, distribution, measurement, and commercial capabilities. Build trustworthy, reusable content operations with rights, provenance, approvals, and human oversight. Lead portfolio consolidation, customer discovery, experimentation, cross-functional alignment, and metrics while preserving editorial independence and driving customer and business outcomes.

Partner with GTM leadership to own subscription revenue and ARR forecasting, lead sales capacity and expense planning, provide deal economics and ROI analysis, support strategic planning and board reporting, and drive automation/AI-enabled finance processes to optimize growth.

Design, build, and ship agent-first AI products end-to-end. Implement production-ready agents using frontier models, ensure observability and quality via model-based evals and agent tracing, drive product definition with PMs/designers, and share agentic engineering practices to accelerate the team.