GTM Engineer

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting. Headquartered in New York City, our culture has been recognized by Inc Magazine, Crain’s NY, Fast Company, and Achievers for innovation and employee engagement.

About the role

We are looking for a GTM Engineer to build the next generation of systems, automations, and AI-powered workflows for our go-to-market teams. Reporting to the Principal GTM Systems Architect, you will work across Salesforce, Agentforce, Workato, Zapier, Claude Code, and the broader GTM technology stack to turn business problems into practical, scalable solutions. This is a hands-on builder role partnering with Sales, Marketing, Customer Success, Support, Finance, and Revenue Operations to identify and solve workflow bottlenecks.

Responsibilities

• Build and improve AI-powered workflows and agents using Salesforce Agentforce.
• Develop Salesforce solutions using Flow, Apex, custom objects, permissions, APIs, and other platform capabilities.
• Design and implement scalable solutions using object-oriented programming principles.
• Build integrations and automations across Salesforce and the GTM stack using Workato and Zapier.
• Use Claude Code and other AI development tools to prototype, build, test, and troubleshoot solutions.
• Connect systems and data through APIs, webhooks, middleware, and native integrations.
• Work directly with GTM teams to understand processes and turn recurring pain points into technical solutions.
• Implement enrichment and signal-detection tooling, such as Clay or similar platforms.
• Design and manage signal-based and buyer-trigger analytics, including opportunity scoring and routing.
• Develop and manage data models and scoring layers for customer propensity, ICP attribution, and lead and account scoring.
• Support AI use cases across prospecting, account research, pipeline management, quoting, customer success, support, renewals, and internal knowledge.
• Test and monitor agents and automations to ensure reliability, security, and functionality.
• Troubleshoot issues across Salesforce, Agentforce, integrations, automation logic, permissions, and data.
• Document and communicate solutions for maintainability and future improvements.
• Participate in sprint planning, technical design, testing, releases, and post-launch iteration.
• Measure the impact of solutions on adoption, efficiency, data quality, or business outcomes.

Requirements

• Three or more years of experience in GTM Engineering, Salesforce, Business Systems, Revenue Operations Systems, or a similar technical role.
• Strong hands-on Salesforce experience, including Flow, data modeling, permissions, APIs, automation, and production support.
• Proven development experience and understanding of object-oriented programming concepts (classes, inheritance, modular design).
• Experience building or configuring solutions with Salesforce Agentforce.
• Hands-on experience building automations and integrations in Workato and Zapier.
• Experience integrating Salesforce with other business systems using APIs, webhooks, and middleware.
• Working knowledge of JSON, REST APIs, authentication, data mapping, and integration troubleshooting.
• Experience with Apex, Python, JavaScript, or another object-oriented language used to extend low-code platforms.
• Understanding of how Sales, Marketing, Customer Success, and other GTM teams operate.
• Strong problem-solving skills and ability to work through ambiguous requirements.
• Clear communication and documentation skills.
• Practical mindset focused on business impact, not just technical interest.

Preferred Qualifications

• Salesforce Data Cloud, Revenue Cloud, Service Cloud, or Slack.
• Claude Code or another AI-assisted development environment.
• Model Context Protocol, tool calling, retrieval-augmented generation, or semantic search.
• Git, Gearset, Salesforce CLI, Postman, or similar development and release tools.
• GTM platforms such as Clay, LeanData, Gainsight, ZoomInfo, 6sense, or Clari.
• Experience with signal-based selling, buyer-intent data, enrichment, opportunity scoring, or propensity modeling.
• Salesforce certifications related to platform development, Agentforce, or Data Cloud.

Benefits

• Competitive salary and stock options.
• Health benefits.
• Unlimited PTO.
• Parental leave.
• Tuition reimbursements.

Pay

The estimated total compensation range for this position is $170,000 - $180,000 (base plus bonus). Actual compensation is based on skills, qualifications, experience, and other factors. Employees may also be eligible for annual performance-based incentive compensation awards and equity.