Lead GTM Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Develop systems that enable Monograph and Total Synergy to identify, convert, and retain their customer base.

• Recognize and prioritize go-to-market issues alongside Marketing, Sales, RevOps, and Customer Experience teams.

• Integrate data across Salesforce, HubSpot, Clay, Gong, websites, product, support, and billing systems through APIs, integrations, and automation tools.

• Clean, enhance, deduplicate, match, and synchronize lead, opportunity, and customer data.

• Enhance lead scoring, prioritization, contact categorization, and account matching processes.

• Utilize AI for research, summarization, classification, and personalization when applicable.

• Construct, test, monitor, maintain, and retire workflows using automation tools, AI-assisted development, SQL, and lightweight coding.

• Evaluate workflow adoption and business outcomes; refine, scale, or discontinue workflows based on performance metrics.

• Educate users, collect feedback, and document effective processes.

• Collaborate with RevOps, Marketing Operations, Marketing, Sales, BDR, Customer Experience, Product, Engineering, Data, and Security teams.

• Achieve measurable enhancements in conversion rates, pipeline development, deal progression, retention, or expansion.

• Minimize manual tasks and promote quicker follow-up with high-priority prospects and customers.

⛳️ Requirements

• Over 4 years of experience in GTM Engineering, RevOps, Marketing Ops, Growth Engineering, business systems, data automation, or a related discipline, with demonstrable examples of systems you have built.

• In-depth understanding of B2B SaaS funnels, CRM, marketing automation, lead and account management, sales workflows, and customer retention strategies.

• Practical experience in designing multi-system workflows utilizing Salesforce, HubSpot, Clay, n8n, Make, Zapier, Workato, or similar tools.

• Proficient with APIs, webhooks, JSON, SQL, data transformation, and AI-assisted scripting in Python, JavaScript, or a comparable programming language.

• Familiarity with using large language models or AI agents for go-to-market workflows, with safeguards for quality, privacy, error management, and human oversight.

• Capability to define project requirements, articulate trade-offs, and collaborate across both technical and non-technical teams.

• Proven history of measuring adoption and business impact, rather than merely deploying automations or implementing tools.

• Experience in vertical SaaS, particularly in architecture and engineering software, is advantageous but not mandatory.

🏝️ Benefits

• A culture of innovative engineering and product development.

• A well-funded early-stage company.

• Commitment to inclusion and diversity as a core company value.

• Full premium coverage on healthcare plans for employees and their families (for US-based, full-time employees).

• Dental and vision insurance for employees and their families.

• Provision of a new laptop and necessary equipment.

• Wellness stipend.