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Revenue Strategy & Operations - North America

ElevenLabs - United States - Hybrid - posted 2026-08-25

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ElevenLabs is an AI research and product company that has transformed human-computer interaction through advanced voice AI. Founded in January 2023, the company now serves millions of users and thousands of businesses including Deutsche Telekom and Meta. With $781M in funding and an $11B valuation, ElevenLabs operates three main platforms: ElevenAgents (voice/chat agents at scale), ElevenCreative (speech, music, image, and video generation across 70+ languages), and ElevenAPI (foundational AI audio models for developers). The Revenue Strategy & Operations role sits at the intersection of technical problem-solving and operational excellence within the go-to-market function. You will be responsible for building and maintaining tools, automations, and dashboards that empower sales, data, and product teams to execute with precision. Operating as a strategic advisor, you'll be podded by functional area (pre- vs. post-sale) and serve as a dedicated partner to specific GTM functions such as SDRs, AEs, Partnerships, or Account Management. Key responsibilities include: designing and implementing end-to-end process management through strategic automations and standardized processes; collaborating cross-functionally to drive revenue-generating initiatives; serving as a trusted partner to leadership with strategic insights and performance reporting; developing and testing new workflows and ideas; overseeing analytics and performance analyses; and leading the design of dashboards, reports, and KPIs. You bring 4+ years of Revenue Operations experience at high-growth technology companies, with a proven track record of developing and implementing end-to-end solutions from data collection through execution. You excel at breaking complex problems into actionable steps, possess strong analytical skills, and thrive on solving challenges with first-principles thinking. You are highly motivated, work autonomously, and consistently deliver high-quality work quickly. The ideal candidate is passionate about AI-driven innovation, takes initiative, and prioritizes learning and contribution.

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