Confluent

Confluent

Head of Product Led Growth Marketing

Remote, United States · Senior

Sponsorship not specifiedDetected 192 days ago
ReactSQLBigQueryData EngineeringData ScienceData VisualizationLLMsA/B TestingProduct ManagementGrowth MarketingLeadershipCommunicationCollaborationProblem SolvingMentoring

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 93%

Of 27 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 490 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This role is critical to scaling product-led acquisition and demonstrating PLG as a durable, efficient growth lever for Confluent.

Responsibilities

  • 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
  • Optimize digital marketing and channel performance: Evaluate paid marketing, organic, and product-led acquisition channels
  • 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
  • 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.

Nice to have

  • 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.
  • 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.
  • excellent communication skills for both technical and executive audiences.
  • Strong ownership mindset with the ability to move solutions forward in ambiguous, fast-moving environments
  • Experience in developer tools, cloud/data infrastructure, usage-based business models, or other technical, developer-led product domains.

Benefits

  • foster a culture of high-velocity experimentation, accountability, and continuous learning while aligning individual development with Confluent's strategic goals.
  • 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.
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This listing is sourced directly from Confluent's careers page and normalized into a canonical job model.