GTM Specialist, North America
Listed on 2026-08-17
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Business
Data Analyst, Business Development, Business Systems & Technology Analysis
GTM Specialist, North America
San Francisco Position number - 2792
Apps Flyer helps brands make good choices for their business and their customers with its advanced measurement, data analytics, deep linking, engagement, fraud protection, data clean room, and privacy-preserving technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, Apps Flyer empowers thousands of creators and 10,000+ technology partners to create better, more meaningful customer relationships.
Aboutthe role
We're looking for a Sr. Revenue Operations Specialist to be the operational backbone of our go-to-market engine. This is a high-impact, cross-functional role sitting at the intersection of sales, marketing, customer success, partnerships, and finance. You'll help to maintain the systems, processes, and analytics that help our revenue teams move faster, sell smarter, and retain more. If you're someone who naturally chases the "why" behind a number, thrives in fast paced environment, and gets energy from solving complex problems across multiple work streams at once, this role was built for you.
Whythis role
Most Rev Ops roles hand you a playbook and ask you to run it. This one asks you to optimize it. We're at the stage where the decisions you make, like how pipeline gets measured, how deals get structured, how compensation drives behavior, how AI gets embedded into the revenue motion, will shape how this company operates in years to come.
You’ll sit at the center of major commercial conversations in the business. Not as a support function, but as a strategic partner with a real seat at the table. When sales leadership is trying to understand why a region is underperforming, you'll be the person with the answer. When the sales team needs a deal structured fast, they'll call you. When leadership is making a bet on next year’s plan, your models and your judgment will be in the room.
If you're someone who gets genuine satisfaction from bringing order to complexity, who finds it energizing to stare at a broken process and rebuild it better, you'll thrive here. And you'll do it with a team and a tool stack, including AI, that actually lets you operate at a level most Rev Ops people never get to experience.
What you’ll do- Deal desk and commercial operations. You'll be the go-to for structuring non-standard deals, managing approval workflows, and ensuring every commercial transaction moves efficiently from negotiation to close. You'll work directly with AEs and leadership to accelerate deal velocity while protecting margin and maintaining compliance with pricing and contracting policies.
- Sales planning and strategy. You'll support annual and quarterly planning cycles, quota setting, headcount modeling, capacity planning, and go-to-market segmentation. You'll translate business objectives into actionable operational plans and help leadership understand what it takes to hit the number.
- AI Native. We're not looking for someone who is curious about AI in theory. We want someone already using it daily, whether that's AI‑assisted account health briefs before QBRs, synthesizing pipeline risk across hundreds of deals, or automating comp exception workflows. The explicit framing of "where can AI do this faster and better?" is meant to filter for the right mindset and signal that this isn't a traditional Rev Ops role.
- Pipeline and territory management. You'll manage territory design, account assignments, and routing logic in Salesforce. You'll run regular pipeline reviews, identify gaps and risks, and build the visibility tools that help managers and leaders make better decisions faster.
- Post‑sales support. You'll partner with Customer Success to track and improve gross revenue retention (GRR) and net revenue retention (NRR). You'll help build the operational infrastructure for renewals, upsell identification, and churn risk management.
- Performance and analytics. You'll be the team's analytical engine, building dashboards, running cadenced reporting, and delivering insights that drive action. You won't just report what happened; you'll tell the story of why it happened and what to do next.
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