GTM Engineer

Extract http://Extract.to is a cutting-edge data movement company that helps businesses seamlessly extract and activate data to fuel business intelligence and decision-making. We’re passionate about enabling our clients to unlock the full potential of their data, and we’re building a foundational sales team of ambitious, innovative professionals ready to make a major impact.Extract was born out of Singular, a next-generation attribution and analytics provider with a global footprint, over $50M in capital investment, and a strong customer base, including leading companies such as LinkedIn, Warner Bros., Electronic Arts, and Uber. We built a new growth engine in the data space -Extract. It focuses on helping companies move and activate data across their stack for analytics, BI, and downstream use cases. Our go-to-market approach is evolving. We are moving toward more precision, more signal-driven targeting, and stronger systems that support execution at scale.We are looking for a GTM Engineer to build the infrastructure behind this motion.The RoleThis is a hands-on, technical GTM role responsible for building and operating our outbound engine. You will design and connect the systems that turn ICPs and account lists into a scalable, high-quality pipeline. This role sits at the intersection of data, systems, and outbound execution. The focus is not on campaigns. The focus is on building the engine that powers them.What You Will DoBuild the outbound engine using Clay Design and manage tables for ICP accounts, personas, and enrichment Connect multiple data sources into usable datasets Turn static account lists into dynamic, signal-driven targeting systemsDrive community and content distributionBuild and engage with relevant communities where target users spend timeIdentify and activate channels such as LinkedIn, niche data communities, and operator groups Support distribution of content to drive awareness and inbound interestSupport content and video productionWork with Marketing to translate product and use cases into simple, clear contentContribute to lightweight content creation such as demos, explainers, and short videos Help turn outbound learnings into content that scales messaging and engagementOwn data enrichment and signals Integrate enrichment providers and external data sources Layer in intent, behavioral, and trigger-based signals Build scoring logic based on fit, timing, and engagementDesign outbound workflows and automation Build workflows across CRM, sequencing tools, and automation platforms Enable programmatic outbound with personalization at scale Reduce manual SDR work while improving quality and consistencyEnable personalization at scale Use structured data and AI tools to support relevant outbound messaging Add account-level context to sequences Support SDRs with research and executionOwn pipeline infrastructureDefine how accounts move from target to engaged to meeting to pipelineEnsure clean routing, tracking, and prioritization Support speed to lead and coordination between inbound and outboundRun experiments and improve performance. Test data sources, signals, and workflows. Continuously iterate based on what drives meetings and the pipelinePartner across GTMWork closely with Demand Gen, SDRs, Sales, and Product MarketingAlign targeting, messaging inputs, and execution. Act as the technical backbone of outbound and pipeline generationWho You AreYou have experience as a GTM Engineer, Growth Engineer, RevOps Engineer, or a highly technical growth or operations role in B2B SaaSYou have hands-on experience with Clay or similar toolsYou understand outbound and how the pipeline is actually generatedYou think in systems and workflows, not just tasksYou are comfortable working across CRM, sequencing tools, enrichment platforms, and automation layersYou can work with APIs, integrations, or no-code toolsYou have a strong sense of ownership and move quickly from idea to executionWhat Success Looks LikeWithin the first few months, you have built a working outbound engine powered by high-quality dataAccount datasets are enriched, prioritized, and actively used by SDRsOutbound is running in a structured and repeatable wayPipeline generation is measurable and improvingThere is clear visibility into what is working and what is not