GTM Engineer: Revenue Automation & Data Systems

Highlight; United States; Remote; USD 135,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Unlimited PTO

Flexible remote WFH

In-person at Hearst Tower NYC

Job summary

Highlight, the definitive product intelligence platform, is seeking a GTM Engineer in the United States to design and optimize the systems powering our marketing and sales engine. You will architect the infrastructure connecting marketing tools, CRM, and analytics, owning HubSpot as the system of record, and building automated programs that feed it from first touch.

You will work cross-functionally to implement data pipelines, attribution, and go-to-market processes, using APIs, SQL, and

Qualifications

• 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.

Responsibilities

• Build signal-based prospecting pipelines: identify buying triggers 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.
• Build and maintain outbound infrastructure: domain/sender strategy, deliverability monitoring, sequencing, multichannel orchestration.
• Use LLMs/AI agents in production workflows for research, qualification, personalization, and classification with guardrails.
• Instrument and iterate: measure reply, meeting, opp conversion by segment and play, and kill what doesn't work.
• 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.
• 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.

Skills

CRM integrations

APIs & webhooks

Data modeling

Cross-functional

SQL proficiency

B2B SaaS metrics

Problem solving

Communication

Tools

HubSpot

Google Analytics

Tag Manager

CRM platforms

Job description

Highlight, the definitive product intelligence platform, is seeking a GTM Engineer in the United States to design and optimize the systems powering our marketing and sales engine. You will architect the infrastructure connecting marketing tools, CRM, and analytics, owning HubSpot as the system of record, and building automated programs that feed it from first touch.

You will work cross-functionally to implement data pipelines, attribution, and go-to-market processes, using APIs, SQL, and