Head of Product Led Growth Marketing
Leads team to define and optimize product-led growth strategy across the full funnel, from acquisition to high-value conversion. Collaborates cross-functionally to build measurement frameworks, run experiments, and evolve PLG for AI workflows; requires 8+ years in growth marketing/PLG and 2+ years leadership.
About the job
What You Will Do
- Drive growth strategy and optimization: Define and optimize PLG growth strategy across the full funnel—from acquisition through high-value conversion—balancing efficiency, quality, and scale across channels, programs, and experiments in collaboration with Product, Marketing, Sales, and Data Science teams.
- Lead and scale a high-performing growth team: Recruit, mentor, and manage a multidisciplinary team of growth marketers and analysts; foster a culture of high-velocity experimentation, accountability, and continuous learning while aligning individual development with Confluent’s strategic goals.
- Optimize digital marketing and channel performance: Evaluate paid marketing, organic, and product-led acquisition channels; translate performance insights into investment decisions; test and scale high-performing programs across both traditional and emerging discovery channels, including answer engine optimization (AEO).
- Build measurement frameworks and experimentation rigor: Establish metrics, models, and analytical frameworks that assess channel quality, funnel health, cohort behavior, and early indicators of long-term customer value; lead a disciplined testing agenda to accelerate learning and improve conversion.
- Strengthen product-led sales motion and GTM alignment: Design and optimize the handoff from product-led users to sales-assisted conversion; partner with Sales and Product on GTM strategy, qualification, routing, and feedback loops; ensure alignment across product launches, marketing campaigns, activation flows, and nurture journeys.
- Evolve PLG for AI and agentic workflows: Partner with Product and Engineering to integrate AI-driven evaluation/personalization, agent-based customer interactions, and intelligent automation into growth workflows—positioning Confluent's PLG motion to capitalize on emerging AI use cases and developer behavior shifts.
What You Will Bring
- 8+ years in product management, growth marketing, growth strategy, or growth analytics with a focus on product-led growth, funnel optimization, experimentation, and revenue impact; 2+ years in a leadership role managing high-performing teams.
- Deep understanding of growth marketing and PLG best practices—including acquisition strategy, digital and paid marketing, funnel analysis, lifecycle optimization, experimentation design, and best-in-class PLG tooling and workflows (e.g., product analytics platforms, reverse ETL, activation tools, attribution and experimentation frameworks).
- Strong analytical and problem-solving skills with strategic thinking ability; experience diagnosing complex funnel issues and translating analysis into clear decisions. SQL required, with experience in Hex, Tableau, Amplitude, BigQuery, or similar platforms preferred.
- Experience in enterprise software or SaaS, with proven ability to collaborate across Product, Marketing, Sales, Finance, and Data Science; excellent communication skills for both technical and executive audiences.
- Strong ownership mindset with the ability to move solutions forward in ambiguous, fast-moving environments; proven track record leading and mentoring teams to deliver exceptional results.
What Gives You an Edge
- Experience in developer tools, cloud/data infrastructure, usage-based business models, or other technical, developer-led product domains.
- Familiarity with AI-driven growth strategies, agentic workflows, or integrating LLMs and intelligent automation into marketing and product-led motions.
- Track record designing and scaling product-to-sales handoff strategies, lead qualification models, or hybrid PLG-sales conversion funnels in high-growth B2B SaaS environments.
- Deep expertise in advanced experimentation methodologies and building rigorous measurement frameworks for attribution, incrementality, and lifetime value prediction.
Skills
SQL, Hex, Tableau, Amplitude, BigQuery, Product Analytics, Reverse Etl, A/B Testing, Funnel Analysis, Answer Engine Optimization, Aeo, Attribution Frameworks, Experimentation Frameworks
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