• Define and own your domain's quarterly goals and success metrics • Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration • Write engineering-ready specs — clear, with edge cases covered and no open questions left • Partner directly with PM Growth on experiment design and high-velocity delivery • Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements • Track product health and understand what's driving changes — with clear attribution and causal reasoning • Use AI as a default tool across research, analysis, spec writing, and communication

• Product strategy and roadmap for your domain — with clear priorities and the reasoning behind every decision • End-to-end delivery from discovery through to launch and post-launch validation • Specifications that engineering can build from — with detailed requirements, edge cases, and acceptance criteria covered • Stakeholder alignment — keeping Engineering, GTM, Support, and leadership informed and coordinated • Domain health — product metrics, reliability signals, and the right balance between new features, experiments, and technical sustainability • Define and own your domain's quarterly goals and success metrics • Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration • Write engineering-ready specs — clear, with edge cases covered and no open questions left • Partner directly with PM Growth on experiment design and high-velocity delivery • Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements • Track product health and understand what's driving changes — with clear attribution and causal reasoning • Use AI as a default tool across research, analysis, spec writing, and communication

• Product strategy and roadmap for your domain — with clear priorities and the reasoning behind every decision • End-to-end delivery from discovery through to launch and post-launch validation • Specifications that engineering can build from — with detailed requirements, edge cases, and acceptance criteria covered • Stakeholder alignment — keeping Engineering, GTM, Support, and leadership informed and coordinated • Domain health — product metrics, reliability signals, and the right balance between new features, experiments, and technical sustainability • Define and own your domain's quarterly goals and success metrics • Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration • Write engineering-ready specs — clear, with edge cases covered and no open questions left • Partner directly with PM Growth on experiment design and high-velocity delivery • Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements • Track product health and understand what's driving changes — with clear attribution and causal reasoning • Use AI as a default tool across research, analysis, spec writing, and communication

• Product strategy and roadmap for your domain — with clear priorities and the reasoning behind every decision • End-to-end delivery from discovery through to launch and post-launch validation • Specifications that engineering can build from — with detailed requirements, edge cases, and acceptance criteria covered • Stakeholder alignment — keeping Engineering, GTM, Support, and leadership informed and coordinated • Domain health — product metrics, reliability signals, and the right balance between new features, experiments, and technical sustainability • Define and own your domain's quarterly goals and success metrics • Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration • Write engineering-ready specs — clear, with edge cases covered and no open questions left • Partner directly with PM Growth on experiment design and high-velocity delivery • Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements • Track product health and understand what's driving changes — with clear attribution and causal reasoning • Use AI as a default tool across research, analysis, spec writing, and communication.