GTM Engineer

About the role

We 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 impact

Pipeline Generation Systems

• Build signal-based prospecting pipelines: identify buying triggers (funding, hiring, tech installs, product launches, job changes) and turn them into automated, scored outbound plays
• Own the enrichment and data layer - ICP scoring, account/contact data quality - so reps work on the right accounts, not just clean ones
• Build 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 output
• Instrument and iterate: measure reply, meeting, opp conversion by segment and play, and kill what doesn't work

GTM Systems Architecture

• Architect and maintain integrations between HubSpot, Google Ads, Google Analytics, Tag Manager, and marketing automation platforms
• Design data synchronization workflows that ensure consistent customer data across marketing, sales, and analytics systems
• Build automated processes that eliminate manual data entry and reduce time from lead capture to sales engagement
• Implement API connections and data pipelines that power real-time attribution and conversion tracking

CRM Platform Engineering

• Own technical administration of HubSpot: standard and custom objects, properties, workflows, pipeline automation, and data model design
• Implement workflow automation for lead routing, scoring, lifecycle progression, and sales handoff
• Design and enforce data quality mechanisms including deduplication rules, validation workflows, and data governance standards

Marketing Attribution & Tracking Infrastructure

• Design and implement end-to-end conversion tracking architecture from ad click through closed-won revenue
• Build UTM tracking standards, campaign tagging infrastructure, and multi-touch attribution models
• Implement tracking mechanisms across web analytics, ad platforms, and CRM to close attribution gaps

Revenue Metrics & Business Logic

• Collaborate with Revenue Operations Manager to translate business requirements into technical system configurations
• Partner with Analytics Engineer to build data models and dashboards for pipeline metrics, conversion rates, and revenue reporting
• Build data quality monitoring and alerting to catch tracking issues, attribution gaps, and process breakdowns

Process Automation & Optimization

• Identify manual processes and build technical solutions that automate repetitive GTM workflows
• Design scalable handoff mechanisms between marketing, sales, and customer success systems
• Build enablement documentation and technical guides for marketing and sales teams

About you

• 4+ years in Revenue Operations Engineering, GTM Systems, Marketing/Sales Operations, or technical business systems roles
• Proven experience architecting CRM platforms, marketing automation systems, and business system integrations
• Strong technical skills with APIs, webhooks, data flows, and system integration patterns
• Experience working cross-functionally with Marketing, Sales, RevOps, Analytics, and Engineering teams
• Expert-level hands-on experience with CRM platforms (HubSpot strongly preferred) including workflows, custom objects, APIs, and integrations
• Proficiency with marketing automation platforms and web analytics tools (Google Analytics, Tag Manager, ad platform APIs)
• Understanding of data modeling, ETL patterns, and system architecture principles
• Comfortable with SQL for data validation and analysis
• Knowledge of data governance, quality management, and privacy compliance (GDPR, tracking consent)
• Strong problem-solving abilities with systems thinking approach
• Excellent communication skills with both technical and business stakeholders
• Self-starter who thrives with high ownership and minimal oversight
• Deep understanding of B2B SaaS metrics: MRR, ARR, CAC, LTV, pipeline velocity, conversion rates

Benefits

• Health insurance (medical, dental, vision) with 100% of employee premiums covered
• Unlimited PTO
• Flexible, remote WFH culture
• Access 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