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

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