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Fever is the world's leading tech platform for culture and live entertainment, operating in 55+ countries with 300+ million monthly users. The company partners with major brands like Netflix, F.C. Barcelona, and Primavera Sound to democratize access to live experiences.
This role drives Fever's AI-first revenue engine by converting go-to-market (GTM) strategy into repeatable, scalable execution. You will partner cross-functionally with Sales, RevOps, Marketing, Product, Finance, and Engineering to design, deploy, and operationalize AI-enabled workflows—including lead enrichment, intelligent routing, and sales copilots—tracked via comprehensive dashboards.
Key Responsibilities:
- Design and deploy AI-augmented workflows across the sales funnel, integrated into the GTM stack with strong CRM governance and data quality (building durable systems, not one-off solutions)
- Own measurement and optimization: define success metrics and ROI, build dashboards, ship v1 quickly, then iterate via experimentation using funnel and pipeline data
- Drive adoption and responsible use of AI tools, establishing governance mechanisms aligned with Legal, Security, and IT
- Evaluate tools and make build-vs-buy decisions for AI/automation platforms (LLM/agent tools), partnering with Data and Engineering teams to prototype and productionize solutions
- Combine quantitative data skills (SQL, spreadsheets) with technical fluency to integrate tools into the GTM stack
- Drive adoption, change management, and governance to deliver core outcomes: faster sales ramp, higher win rates, shorter sales cycles, improved data quality, and team productivity
Requirements:
- Engineering background (required)
- Quantitative and systems mindset: comfortable with messy GTM data and building repeatable operating systems, not one-off analysis
- Strong funnel fluency: deep understanding of end-to-end GTM metrics including conversion, pipeline health/velocity, and segmentation
- Clear cross-functional communicator: able to translate ambiguity into structured work, align executives/operators/technical teams, and drive measurable outcomes
- GenAI for GTM experience: either as a builder (agents, workflows, prototypes) or operator (use-case management, risk/governance, expectation-setting), plus sound vendor and build-vs-buy instincts
- Bias to action: "ship v1, iterate" mindset; proactive about identifying bottlenecks and automating them
