CloudBees

Growth Marketing

• Lead the Technical Writing team and PLG motion to drive user activation, retention, and expansion across CloudBees' SaaS platform
• Define and execute a product-led strategy for onboarding, activation, and in-product guidance
• Integrate AI and partner with AI platform team to apply generative AI to authoring, delivery, and user experience of content
• Partner with Product Managers, Engineers, UX/UI and GTM teams to deliver product-led experiences
• Oversee creation and continuous refinement of onboarding flows, help content, tooltips, and embedded documentation to reduce user confusion and support adoption
• Foster a culture of user empathy, creativity, and continuous learning within the team
• Report to the VP of Product and collaborate cross-functionally to identify growth levers and translate them into intuitive experiences that convert

Growth Experience Manager

Data Analyst

• Own product data strategy & reporting automation: develop and implement scalable data solutions that streamline reporting and analytics.
• Perform quantitative analysis: deep dives into product and business data to unlock insights and opportunities.
• Support hypothesis testing: collaborate with Product Managers to validate product hypotheses with rigorous data analysis.
• Data analysis & insights: analyze large datasets to identify patterns, trends, and key insights related to user behavior, product usage, and market dynamics.
• Reporting & visualization: build and maintain dashboards and reports to monitor KPIs and communicate findings effectively.
• Self-service dashboards & data literacy: create and maintain self-service dashboards to democratize data access; lead "brown bag" sessions to educate teams.
• Data quality assurance: ensure data accuracy and consistency, partnering with relevant teams to resolve data issues.
• Forecasting & predictive analytics: develop forecasting models to estimate product performance and uncover growth opportunities.
• Cross-team collaboration: work closely with the business data science team while maintaining focus on product organization’s data needs.
• Expected impacts: improved decision-making, cohesive data structure, higher feature success rates, faster iteration cycles, increased data literacy.

Growth Experience Manager

Senior Product Data Analyst