About Pearl

Pearl is the global leader in dental AI. Our FDA-cleared computer vision platform helps dental practices detect disease more accurately, treatment plan more effectively, and build patient trust through transparent AI-assisted diagnostics. We serve thousands of dental practices ranging from solo practitioners to the largest DSOs in North America. Our products include Second Opinion® (real-time radiograph analysis), Practice Intelligence™ (clinical analytics), and PreCheck™ (pre-visit patient engagement).

Who We're Looking For

We are hiring the first-ever GTM Engineer at Pearl — a brand new function built to power how we scale revenue. This isn't a systems maintenance role; it's an architectural one. You'll own the tech stack and AI layer behind how we prospect, qualify, convert, and retain customers — and you'll build it from scratch. Sitting at the intersection of Sales, Finance, Data, and Operations, you'll turn pipeline gaps into automated workflows, manual processes into scalable systems, and leadership priorities into the revenue engine our next stage of growth runs on.

What You'll Do

Build AI-Powered Workflows & Outbound Systems

• Identify and deploy high-impact AI use cases across the funnel, from prospecting and outreach to pipeline analysis and customer lifecycle automation

• Design AI-native automations that surface next-best actions, trigger timely follow-ups, and improve deal velocity

• Build and maintain automated outbound prospecting systems using Clay, Apollo, Instantly, and custom scripts

• Develop AI-powered workflows for personalized outreach at scale

• Own technical aspects of new channel launches including partnerships, paid, and events

• Experiment with emerging LLM and agentic tools to unlock new capabilities across the revenue team

Enrich, Score & Qualify Leads

• Enrich and score leads using APIs, web scraping, and third-party data providers

• Integrate and optimize HubSpot with marketing automation and data sources

• Analyze funnel performance and identify bottlenecks across the GTM motion

Own the Revenue Funnel

• Build and maintain the systems that power opportunity management, sales handoffs, forecasting, and post-sale workflows

• Spot gaps, solve for edge cases, and build reporting that surfaces conversion risks and pipeline health

• Build and maintain workflows across the full customer lifecycle — lead routing, SDR → AE handoffs, onboarding, expansion, and retention

• Balance long-term scalability with short-term speed; we're growing fast and need systems that can keep up

Internal Tools & Cross-Functional Collaboration

• Create internal tools and dashboards to increase sales team productivity

• Work side-by-side with Sales and Customer Success to translate business needs into technical solutions

• Own the data integrity and operational health of our lead-to-revenue pipeline

• Connect GTM tools into one cohesive stack and evolve it as we scale

Who You Are

• 4–8+ years in GTM Engineering, Revenue Operations, Business Systems, or similar roles in B2B SaaS or high-growth environments - SMB Experience Preferred

• Strong coding skills in Python, JavaScript, and SQL, with experience building APIs, automations, and data pipelines

• Hands-on experience with modern GTM and automation tools (e.g., HubSpot, Clay, Apollo, Nooks, Zapier, Make, n8n, Workato)

• Experience building and deploying AI-enabled workflows, copilots, or agents in a business context

• Strong understanding of sales funnels, marketing attribution, and customer lifecycle operations

• A hands-on builder who ships quickly, iterates in real time, and is biased toward automation over manual work

• Comfortable working across technical systems and business stakeholders

• Motivated by driving real revenue impact, not just maintaining systems