GTM Engineer

CodeIntegrity; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

MacBook equipment

Health benefits

401(k) retirement plan

Job summary

CodeIntegrity is seeking an automation-focused engineer to build data integrations and tooling that drive pipeline and improve CRM accuracy. You will partner with sales and marketing to ensure reliable account research, handoffs, and reporting across campaigns.

You will connect GTM tools, optimize account data, and automate repetitive tasks while maintaining secure handling of customer data and documentation.

Qualifications

• You’ve built automations, integrations, or internal tools used in day-to-day workflows.
• Proficiency with APIs, webhooks, SQL, and a programming language such as Python or JavaScript.
• Strong understanding of CRM data, B2B sales funnels, and accurate account/contact records.

Responsibilities

• Connect GTM tools and build integrations between CRM, enrichment providers, marketing tools, and sales workflows using APIs, webhooks, and code.
• Combine company data and buying signals, resolve duplicates, and implement scoring and routing rules for sales.
• Automate repetitive work: research accounts, prepare meetings, handoffs, and follow-ups; assess AI-generated results.

Skills

APIs & webhooks

SQL

Python/JavaScript

CRM data understanding

Tools

Salesforce

HubSpot

Clay

n8n

Job description

AI agents are changing how enterprises operate. Companies want to move fast with MCPs and agents, but they need a way to do it safely.

CodeIntegrity is the platform security teams use to control MCPs and agents, built for companies deploying AI across the enterprise. We raised $5 million from SYN Ventures, Antler, and Boost, and we are a small team, mostly engineers, shipping fast. We are building the infrastructure that will make enterprise AI safe to use.

The Role

You’ll build the data integrations and automation that help CodeIntegrity reach the right buyers and turn interest into sales opportunities. Partner with sales and marketing to make account research, campaign handoffs, and pipeline reporting reliable.

What You Will Do

• Connect our GTM tools. Build integrations between the CRM, enrichment providers, marketing tools, and sales workflows using APIs, webhooks, and code.
• Make account data useful. Combine company and buying signals, resolve duplicate records, and build scoring and routing rules with sales and marketing.
• Automate repetitive work. Create workflows for account research, meeting preparation, lead handoffs, and follow-up tasks. Evaluate the accuracy of AI-generated results.
• Make results measurable. Maintain attribution and funnel reporting so the team can understand which activities create qualified opportunities and where handoffs break down.
• Operate what you build. Test and document workflows, monitor failures, and handle credentials, permissions, and customer data carefully.

What We Need

• You’ve built automations, integrations, or internal tools that people use in their day-to-day work.
• You’re comfortable with APIs, webhooks, SQL, and a programming language such as Python or JavaScript.
• You understand CRM data, B2B sales funnels, and the importance of accurate account and contact records.
• You can work with sales and marketing to define a problem, ship a solution, and measure its impact.
• You can troubleshoot failures and maintain clear, version-controlled code and documentation.

Nice to have:

• Experience with CRM and workflow tools such as Salesforce, HubSpot, Clay, or n8n.
• Experience applying LLMs to research, data enrichment, or workflow automation.
• Experience in cybersecurity, developer tools, or enterprise software.

What We Offer

We offer a competitive package for people who can move quickly, work with enterprise customers, and help build critical infrastructure for enterprise AI.

• Competitive package. Salary, equity, and benefits aligned with the scope and ownership of the role.
• Time off. Four weeks of paid vacation, paid sick leave, and paid parental leave.
• Professional development. Budget for conferences, courses, and certifications across AI, enterprise software, and security.
• Equipment. A MacBook and the equipment you need to do your best work.
• Health benefits. Comprehensive medical, dental, and vision coverage.
• Retirement savings. 401(k) retirement plan.
• Customer access. Work directly with companies adopting AI in production and see the impact of what you build.