GTM / RevOps Engineer

Adapt API
San FranciscoPosted 27 March 2026

Tech Stack

Job Description

GTM / RevOps Engineer GTM Engineer / RevOps Lead Full-Time · San Francisco · Adapt 👋 Who We Are Adapt API is a venture-backed startup building the agentic operations layer for Property & Casualty (P&C) insurance. Today, walking into an insurance agency is like stepping into a time machine. Filing cabinets, fax machines, piles of incoming and outgoing mail. What you don't see is that even for the parts that have been "digitized", needless manual work abounds. Few systems communicate directly, leading to endless copy-pasting from emails to various proprietary web portals/desktop apps and back again. Carrier by carrier, process by process, Adapt is bringing each of those manual and error-prone workflows into our comprehensive agentic workflow layer. The implementation details are subject to change, but this is our north star, and the future we envision isn't possible without it. 💥 Why This Role Matters This isn't a traditional RevOps hire. You're not inheriting a clean Salesforce org with years of documentation. You're walking into a high-velocity startup at an inflection point—and we need the engine built now, built right, and built to last. We have momentum, a repeatable sales motion, and a Head of Sales who moves fast and expects their systems to move faster. What we don't have yet is the infrastructure to scale it. That's your job. You'll be the architect of our entire GTM stack—designing AI-powered systems that make our revenue team 10x more effective today, and 100x more effective in two years. This role is urgent. The window to build this foundation correctly is now—before we double headcount, before we move upmarket, before the complexity multiplies. If you thrive on creative problem-solving, love working shoulder-to-shoulder with sales, and want AI at the center of everything you touch—you'll love this. 🚀 Why You Should Join Adapt - The Moment Is Now: The Moment Is Now: We're at the exact inflection point where great infrastructure compounds. Build it right today and it powers everything for years. Wait, and you're always playing catch-up. Post-PMF. Revenue-generating. Growing lightning fast. - True Partnership: True Partnership: You'll work side-by-side with our Head of Sales and Founder — not just as support, but as a co-architect of the GTM motion. Your systems shape their strategy. Their feedback sharpens your builds. - AI Is Not Optional Here: AI Is Not Optional Here: We're an AI-native team. We don't use AI as a parlor trick—we use it to redesign what's possible. You'll have full latitude to reimagine the GTM stack through that lens. - Build for Scale: Build for Scale: Everything you design needs to work at 3x, 5x, 10x the current size. You're not patching—you're architecting. That's the standard we hold ourselves to. - Elite Comp: Elite Comp: Strong cash (75th percentile), uncapped bonus tied to revenue impact, solid benefits, and startup equity that's actually meaningful (90th+ percentile). - A+ Team & Backers: A+ Team & Backers: Backed by top investors, ex-Plaid execs, and industry insiders. The founding team is chock-full of multiple-time builders, insurance experts, and driven A+ talent—looking for more of the same. 🎯 What You'll Do - Build with an AI-Native Approach: AI should be at the center of your strategy: LLMs, automation, AI-powered outbound, intelligent routing, dynamic reporting—if there's a task being done manually, your instinct is to ask why. Then automate it. - Build for Long-Term Scale: Build for Long-Term Scale: Design every system as if the team will 5x in 18 months—because it will. Architecture decisions made now echo for years. Build the foundation that compounds. - Own the Full GTM Stack: Own the Full GTM Stack: CRM (HubSpot), sequencing, prospecting tools (Apollo, SalesNav, Nooks), enrichment, routing logic—evaluate, implement, and continuously optimize the entire ecosystem. - Engineer the Outbound Engine: Engineer the Outbound Engine: Go beyond configuring seque ... (truncated, view full listing at source)
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