Marketing Systems Manager

Checkr
Denver, Colorado, United States; San Francisco, California, United StatesUp to $25kPosted 26 March 2026

Job Description

About Checkr Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the team/role Our Revenue Operations team is looking for a Marketing Systems Manager to serve as our dedicated Marketing Automation and AI Expert. In this role, you will combine strong technical architecture skills with forward-thinking AI application to fully activate our marketing technology stack and help us scale marketing programs across all segments (from SMB to Enterprise), channels (from digital inbound to account-based marketing), and go-to-market motions (from partnerships to customer marketing). You will be the guardian of our marketing infrastructure, ensuring systems are scalable, stable, and secure, while simultaneously driving the adoption of next-generation AI tools. You will move beyond basic configuration to unlock meaningful business impact, implementing agentic chat workflows and automated responses to drive increased conversion rates and accelerated pipeline velocity. Responsibilities: Own the Marketing Tech Stack: Own the marketing technology ecosystem, developing the strategy and managing the full stack including Marketo, Qualified, and Demandbase. You will oversee vendor management, system governance, and optimization to ensure our tools deliver maximum ROI and business value. Architect System Stability Scalable Integrations: Manage the health and architecture of the core stack and GTM integrations, troubleshooting issues and implementing DevOps best practices, such as version control, rigorous sandbox testing, and error monitoring, to ensure operational excellence. You will replace fragile manual processes with scalable, automated solutions that ensure system uptime and maintain a "Single Source of Truth." Drive Conversational AI Agentic Workflows: Lead the strategic optimization of Qualified and future chat platforms. You will design and implement agentic chat workflows and AI-generated first-touch responses to dramatically improve MQL-to-SQL conversion rates and increase SDR pipeline. Lead AI Automation Evolution: Champion the transition toward an AI-first marketing infrastructure. You will identify opportunities to leverage AI for lead enrichment, scoring, and routing, creating seamless, automated data flows that reduce manual effort and enhance the user journey. Data Foundation Enrichment: Be a key stakeholder in driving trusted data for the organization, designing an enrichment engine and key governance strategies to fuel AI models and segmentation. What you bring: 6+ years of Marketing Operations or Systems experience in a B2B SaaS/Consumption environment, with a dual focus on technical administration and innovation. A mix of experience working at both high-growth startups and larger, at-scale companies is a plus. Multi-channel GTM experience: Background across various go-to-market motions including enterprise sales, account-based marketing (ABM), digital/growth marketing, PLG, and customer lifecycle marketing. Marketing Technology Expertise: Deep proficiency in Marketo and Salesforce is required. Experience with conversational marketing (e.g., Qualified), ABM platforms (e.g., Demandbase), and sales engagement tools is highly desired. AI Automation Fluency: You are an "AI-First" thinker with hands-on experience using AI tools, APIs, and integration platforms (e.g., Clay, Zapier, LLMs) to drive business efficiency and automation. DevOps Mindset: You value system stability and documentation. You approach ... (truncated, view full listing at source)
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