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Develops positioning, messaging, joint value propositions, and enablement for G2’s partnership and Buyer Intent products. Translates technical integrations and data partnerships into clear customer value, supports partner launches, creates sales and partner content, and gathers customer, market, adoption, and competitive insights. Collaborates with Product, Partnerships, Sales, Marketing, and Growth teams to improve partner adoption, remove usage barriers, and measure launch success.

Own G2’s research agenda for evaluating AI agents in realistic business workflows. Design benchmarks, task environments, scoring systems, automated and human grading methods, and reliability analyses. Collaborate with engineering and product teams to ship evaluation capabilities, communicate findings to customers and researchers, mentor technical teams, and establish repeatable standards. The role requires hands-on LLM and agent evaluation experience, original research, statistical judgment, product delivery, and technical leadership.

Own sales strategy, ad hoc analysis, forecasting, reporting, and business recommendations for G2’s subscription and advertising businesses. Partner with Sales leadership, Finance, Strategy, and Sales Operations to evaluate pipeline, bookings, quota attainment, customer segmentation, and performance trends. Build dashboards and executive business review materials while independently scoping projects and translating complex data into actionable go-to-market decisions.

Own the end-to-end strategy and roadmap for G2’s user-generated content product system, including contributor experiences, review collection, trust and quality, AI-assisted workflows, customer activation, distribution, and buyer value. Lead experimentation, funnel instrumentation, incentives, verification, integrations, and reusable product capabilities while aligning Engineering, Design, Data, Research, Operations, Revenue, Marketing, and Customer Success teams.

Own the strategy and roadmap for G2’s Data Solutions ecosystem, including APIs, MCP, integrations, partner capabilities, and developer surfaces. Drive revenue growth, customer adoption, partner expansion, integration migration, and platform reuse. Collaborate across Engineering, Data, Partnerships, Revenue, Customer Success, and Marketing while prototyping integrations and targeted code. Shape data offerings, packaging, delivery, and customer solutions for technical B2B audiences.

Own G2’s AWS alliance strategy, relationship health, revenue growth, co-selling pipeline, partner-program execution, and joint go-to-market planning. The role connects AWS with G2 sales, product, engineering, marketing, and leadership teams; enables sales teams; manages forecasting and KPIs; advances cloud integrations; and scales partner workflows using AI and automation. The manager will also expand partnerships across GCP and Microsoft Marketplace.

Leads development of agent evaluation systems that assess live software agents using trace data, rubrics, benchmarks, and LLM-as-a-judge techniques. Owns the evaluation platform’s full stack, creates reusable workflows and integrations, tracks emerging evaluation methods, and collaborates with data science teams. Manages and mentors engineers while promoting evaluation practices across agent-focused products.

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.

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.