Highlight is the definitive product intelligence platform enabling brands to create products people love. Powered by a proprietary community, seamless logistics, expert research methodologies, and AI-driven analytics, Highlight’s platform is purpose-built for modern physical product teams and trusted by leading brands, top retailers, and emerging innovators alike. The Highlight platform delivers high-impact insights with unmatched quality across every stage of the product innovation lifecycle—from early ideas and prototypes to in-market renovation—empowering teams to act quickly and bring winning products to market with confidence.
We are seeking a Revenue 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 initial ad click through closed revenue.
In this role, you'll own HubSpot as our central revenue platform and design the integrations that create a unified view of our customer acquisition funnel. You'll combine systems engineering expertise with business process design to build a scalable, data-driven revenue engine. You'll partner closely with our Analytics Engineer and Revenue Operations Manager, with significant autonomy to architect and implement the GTM systems that scale our go-to-market motion.
We are seeking a Revenue 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 initial ad click through closed revenue.In this role, you'll own HubSpot as our central revenue platform and design the integrations that create a unified view of our customer acquisition funnel. You'll combine systems engineering expertise with business process design to build a scalable, data-driven revenue engine. You'll partner closely with our Analytics Engineer and Revenue Operations Manager, with significant autonomy to architect and implement the GTM systems that scale our go-to-market motion.
Your Impact
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, finance, 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
Design and implement end-to-end conversion tracking architecture from ad click through closed-won revenue
Implement tracking mechanisms across web analytics, ad platforms, and CRM to close attribution gaps
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
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, Finance, 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
Our Ideal Candidate
Experience as an early GTM systems hire at a scaling Series A/B company
Background in marketing technology (martech) or sales technology (salestech) implementation
Previous software engineering, data engineering, or analytics engineering experience
Experience with reverse ETL tools (Hightouch, Census) and data activation platforms
You don’t need to meet every qualification listed to apply—we value potential, curiosity, and diverse perspectives. At Highlight, we believe that innovation thrives when different experiences and ideas come together. We’re committed to building an inclusive team where individuals of all backgrounds - including but not limited to - race, age, gender identity and expression, sexual orientation, national origin, religion, disability, veteran status, and more—feel empowered to contribute and grow.
If you’re a critical thinker who’s not afraid to challenge assumptions, we’d love to hear from you. We’re a passionate, supportive team that puts Humans First, cares about each other, and yes—we take our tacos seriously. 🌮
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