Head of Revenue Operations

About Us At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful. Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge. About the Role We’re looking for a senior, cross-functional rev ops leader. This role will work closely with the VP of Finance & Ops and CRO to define and execute our go-to-market (GTM) strategy, aligning sales, marketing, finance, and customer success to drive growth & efficiency. You’ll own the systems, data, and operating rhythm that make our GTM engine predictable, fast, and scalable. Responsibilities GTM Strategy Partnership Be a strategic partner to the CRO on go-to-market strategy: ICP definition, segmentation, territory design, coverage model Own the GTM planning process — quota setting, capacity planning, headcount modeling — in partnership with the CRO and Finance Run QBRs and operating reviews; bring the data and the point of view, not just the slides Revenue Architecture & Systems Own and evolve the full AI native RevOps tech stack Build the operational plumbing for quote-to-cash: pricing, contracting, order management, invoicing, and revenue recognition hand-offs to finance Agentify and automate repeatable workflows — lead routing, pipeline hygiene, renewals, commissions — so the team spends time on decisions, not process Marketing Operations Own the marketing ops layer end-to-end: lead lifecycle, scoring, routing, attribution, and campaign performance tracking Ensure clean alignment between marketing and sales on pipeline definitions, SLAs, and hand-off quality Partner with marketing on tool consolidation and stack rationalization across the demand gen and dev rel motions Forecast, Pipeline & GTM Insights Own pipeline forecasting and revenue reporting end-to-end; run the weekly forecast call and own the numbers going to Finance and Exec leadership Build funnel diagnostics and velocity analytics: where deals stall, where we win, where CPM pricing creates or kills deals Surface insights that drive action  Data & Analytics Own the GTM data layer: data model, definitions, hygiene, and single source of truth across sales, marketing, and Finance Build and maintain the reporting infrastructure that powers exec-level visibility, board decks, and day-to-day rep performance Evaluate and implement AI-powered tools to improve forecasting accuracy, pipeline analysis, and rep productivity Define and enforce data governance standards so the CRM and downstream systems stay trustworthy at scale Sales Compensation & Incentives Design and administer comp plans that align rep incentives to ARR, ASP, and product mix goals Cross-Functional Glue Be the connective tissue between sales, marketing, CS, finance, and legal Partner with finance on ARR tracking, churn, expansion, and rev rec Work with legal on contract operations and non-standard deal structures Support complex enterprise and API pricing deals operationally  Qualifications 7–10 years in revenue operations, GTM strategy, or sales operations — at least 3–4 in a leadership role Experience at a high-growth B2B SaaS or API/developer infrastructure company; bonus if you’ve worked in AI, search, or usage-based pricing models You’ve owned HubSpot (or comparable CRM) end-to-end, not just administered it — you’ve architected it Hands-on marketing ops experience: lead lifecycle, attribution modeling, and campaign analytics Strong data fundamentals: you can build a clean data model, define revenue metrics from scratch, and make a CRM trustworthy Comfortable with CPM or consumption-based pricing mechanics and the deal complexity that comes with it Analytically strong: you build the model, find the signal, and tell the story to a CFO or board without needing a translator Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations. Salary Band $200,000 — $270,000 USD Company Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions