GTM Engineer

About the roleWe are seeking a GTM Engineer to design, build, and optimize the systems that power our marketing and sales engine. You'll architect the technical infrastructure connecting our marketing tools, CRM, and analytics platforms, ensuring seamless data flow from first touch. You'll own HubSpot as the system of record and build the automated, signal-driven programs that fill it. You'll combine systems engineering expertise with business process design to build a scalable, data-driven revenue engine.Your impactPipeline Generation SystemsBuild signal-based prospecting pipelines: identify buying triggers (funding, hiring, tech installs, product launches, job changes) and turn them into automated, scored outbound playsOwn the enrichment and data layer - ICP scoring, account/contact data quality - so reps work on the right accounts, not just clean onesBuild and maintain outbound infrastructure: domain/sender strategy, deliverability monitoring, sequencing, multichannel orchestration (email, LinkedIn, ads)Use LLMs/AI agents in production workflows for research, qualification, personalization, and classification - with evaluation and guardrails against hallucinated outputInstrument and iterate: measure reply, meeting, opp conversion by segment and play, and kill what doesn't workGTM Systems ArchitectureArchitect and maintain integrations between HubSpot, Google Ads, Google Analytics, Tag Manager, and marketing automation platformsDesign data synchronization workflows that ensure consistent customer data across marketing, sales, and analytics systemsBuild automated processes that eliminate manual data entry and reduce time from lead capture to sales engagementImplement API connections and data pipelines that power real-time attribution and conversion trackingCRM Platform EngineeringOwn technical administration of HubSpot: standard and custom objects, properties, workflows, pipeline automation, and data model designImplement workflow automation for lead routing, scoring, lifecycle progression, and sales handoffDesign and enforce data quality mechanisms including deduplication rules, validation workflows, and data governance standardsMarketing Attribution & Tracking InfrastructureDesign and implement end-to-end conversion tracking architecture from ad click through closed-won revenueBuild UTM tracking standards, campaign tagging infrastructure, and multi-touch attribution modelsImplement tracking mechanisms across web analytics, ad platforms, and CRM to close attribution gapsRevenue Metrics & Business LogicCollaborate with Revenue Operations Manager to translate business requirements into technical system configurationsPartner with Analytics Engineer to build data models and dashboards for pipeline metrics, conversion rates, and revenue reportingBuild data quality monitoring and alerting to catch tracking issues, attribution gaps, and process breakdownsProcess Automation & OptimizationIdentify manual processes and build technical solutions that automate repetitive GTM workflowsDesign scalable handoff mechanisms between marketing, sales, and customer success systemsBuild enablement documentation and technical guides for marketing and sales teamsAbout you4+ years in Revenue Operations Engineering, GTM Systems, Marketing/Sales Operations, or technical business systems rolesProven experience architecting CRM platforms, marketing automation systems, and business system integrationsStrong technical skills with APIs, webhooks, data flows, and system integration patternsExperience working cross-functionally with Marketing, Sales, RevOps, Analytics, and Engineering teamsExpert-level hands-on experience with CRM platforms (HubSpot strongly preferred) including workflows, custom objects, APIs, and integrationsProficiency with marketing automation platforms and web analytics tools (Google Analytics, Tag Manager, ad platform APIs)Understanding of data modeling, ETL patterns, and system architecture principlesComfortable with SQL for data validation and analysisKnowledge of data governance, quality management, and privacy compliance (GDPR, tracking consent)Strong problem-solving abilities with systems thinking approachExcellent communication skills with both technical and business stakeholdersSelf-starter who thrives with high ownership and minimal oversightDeep understanding of B2B SaaS metrics: MRR, ARR, CAC, LTV, pipeline velocity, conversion ratesBenefitsHealth insurance (medical, dental, vision) with 100% of employee premiums coveredUnlimited PTOFlexible, remote WFH cultureAccess to the iconic Hearst Tower & its facilities in NYC (should you choose to ever be in person)Based on previous experience and skillset, the starting base salary range for this position: $135,000 - $160,000