G2M Engineer

Dot Compliance is a leading provider of cloud Quality and Compliance management solutions for the life science industry. Dot’s SaaS solutions are based on the world’s most innovative cloud technology provider, salesforce.com. We are a young and innovative software company, looking to dramatically change how pharma, biotech and medical device companies manage their quality and compliance regulated processes. We are looking for a talented and highly driven G2M Engineer to join our fast-growing team. What You’ll do? Design and deploy AI-driven GTM agents that monitor product, CRM, and intent signals and trigger next-best actions for Sales, Growth, and Partnerships Build automated workflows that handle lead qualification, enrichment, scoring, routing, follow-ups, and handoffs without human intervention Translate product usage and PLG signals into revenue plays (expansion, upsell, rescue, ABM, partner activation, churn risk) Architect and maintain custom integrations and APIs across CRM, data platforms, enrichment tools, sales engagement, and internal systems Prototype and productionize new GTM automations using scripts, low-code/no-code tools, and AI models Partner with Product and Growth to turn in-app behavior into real-time GTM triggers Continuously experiment with new AI tools and approaches to improve speed, quality, and scalability of revenue execution Define and optimize productivity systems for AEs, BDRs, and Partner Managers (task automation, prioritization, sequencing, intelligence feeds) Ensure GTM systems are reliable, observable, and designed for scale - not just short-term fixes. What You’ll Build AI-powered workflows and agents that qualify, route, prioritize, and enrich leads and accounts in real time Signal engines that translate product usage, intent data, and inbound activity into clear GTM plays Automated GTM pipelines that connect PLG motion with assisted sales and partner motion Smart routing and prioritization logic that maximizes AE and BDR productivity Custom automations and integrations that eliminate manual work across the GTM stack Requirements: Who You Are? 2–5+ years of hands-on experience building automation, workflows, AI agents, or GTM systems in SaaS, Growth Engineering, RevTech, or Revenue Engineering roles You think like an engineer first, operator second - you build systems that run themselves Strong technical skills: APIs, webhooks, scripting (Python/JS), data pipelines, and automation platforms Comfortable working deeply inside CRMs, data tools, sales tech, and product analytics platforms Excited about AI agents, LLMs, and automation frameworks, and actively experimenting with them You enjoy turning ambiguity and messy signals into clear, automated, scalable systems You naturally partner with Sales, Marketing, Growth, and Product, but stay focused on building, not managing Impact-driven: you care about time saved, deals influenced, and productivity unlocked, not just dashboards delivered