Marketing Operations Manager, Americas

About the Role

We are looking for a Marketing Operations Program Manager to own and drive critical operational programs across campaign execution, prospect data management, and marketing process improvement.

This role sits at the intersection of marketing technology, data operations, and program management , and requires someone who can move fluidly between strategic planning and hands-on execution.

Responsibilities

• Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives
• Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams
• Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use
• Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale
• Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams
• Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

Requirements

• 6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment
• 3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

Preferred Qualifications

• Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources
• 3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows
• 3+ years of experience with Marketo audience and campaign design and production
• Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting
• Experience implementing AI tools to improve marketing operations workflows and productivity
• Experience working with global teams on a day-to-day basis
• Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management
• Experience in the financial services, payments, or B2B software industries

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Responsibilities: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs) Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10

Basic Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field 3-5 years of experience in application security, with a strong focus on code security practices Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10) Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages Experience securing CI/CD pipelines and implementing DevSecOps practices Familiarity with software supply chain security and SBOM generation tools Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10 Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences

Preferred Skills and Experience: Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features Relevant security certifications (e.g., CSSLP, OSWE) Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems Experience with GitOps and infrastructure-as-code security Familiarity with federated learning and privacy-preserving machine learning techniques Experience in building custom security tooling to enhance and automate security processes Interest in leveraging AI to automate security tasks and improve efficiency Contributions to open-source security projects or tools Experience in securing AI/ML models and data pipelines

Compensation and Benefits: $200,000 - $340,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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