Senior Manager, AI Marketing Operations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, AI Marketing Operations based in the United States.

This senior-level role sits at the intersection of AI, marketing operations, analytics, and revenue growth within a complex B2B technology environment. You will lead AI- and analytics-driven initiatives that improve demand generation, pipeline velocity, attribution, and conversion efficiency. The position combines strategic leadership with hands-on ownership of marketing technology, data, automation, and AI-enabled processes. You will partner closely with marketing, sales, business development, product marketing, revenue operations, and data teams. Your work will help transform complex customer and buying-group data into actionable strategies and measurable business outcomes. The role offers significant influence over how emerging AI capabilities are integrated into marketing operations and go-to-market execution. Success will depend on your ability to balance innovation, analytical rigor, operational discipline, and clear communication with senior stakeholders.

Accountabilities: Lead AI marketing operations: Serve as a strategic advisor to marketing leadership and drive AI- and analytics-enabled initiatives that strengthen demand generation and revenue performance.

Develop demand unit strategies: Design, deploy, and optimize demand unit-based marketing models, including buying-group identification, intent-based segmentation, and multi-touch attribution across campaigns and channels.

Apply AI to revenue growth: Align predictive scoring, account-intent modeling, next-best-action engines, and other AI applications with demand unit frameworks to improve pipeline velocity and conversion efficiency.

Optimize marketing technology: Evaluate, implement, and improve MarTech solutions spanning data enrichment, personalization, attribution, marketing automation, and AI-powered campaign optimization.

Manage marketing systems: Leverage platforms such as Salesforce, Pardot, HubSpot, and related technologies while supporting AI and advanced analytics integrations.

Strengthen analytics and attribution: Use AI-enhanced analytics, visualization, predictive modeling, and funnel progression analysis to improve forecasting, campaign performance, and ROI measurement.

Drive cross-functional collaboration: Partner with demand generation, BDR, sales, product marketing, revenue operations, and data science teams to align marketing initiatives with broader go-to-market objectives.

Lead teams and agencies: Manage small to mid-sized teams or external agencies, establish clear OKRs, and drive measurable improvements in AI-enabled marketing performance.

Translate data into business value: Turn complex technical models and analytical findings into clear recommendations, commercial insights, and ROI narratives for senior stakeholders.

Oversee responsible AI practices: Incorporate data privacy, governance, security, and ethical AI principles into marketing automation and data-driven initiatives.

Manage strategic execution: Lead projects across evolving priorities and technology landscapes while maintaining operational rigor, accountability, and measurable outcomes.

Requirements

8–12 years of progressive experience in marketing operations, digital marketing, growth marketing, or a related discipline.

2–3 years of experience leading AI- or analytics-driven marketing initiatives , with demonstrated success translating emerging technologies into measurable business outcomes.

Proven experience designing and optimizing demand unit-based marketing models , buying-group identification, intent-based segmentation, and multi-touch attribution.

Demonstrated ability to connect AI applications such as predictive scoring, account-intent modeling, and next-best-action engines to revenue and conversion objectives.

Hands-on experience with marketing automation and CRM platforms , including Salesforce, Pardot, HubSpot, or comparable systems.

Strong understanding of MarTech ecosystems, including data enrichment, personalization, attribution, workflow automation, and AI-powered campaign optimization.

Advanced knowledge of demand unit frameworks, buying-group analytics, funnel progression modeling, and marketing performance measurement.

Experience with AI-enhanced analytics and visualization platforms such as Power BI, Clari, Tableau, or Looker , as well as predictive modeling techniques.

Familiarity with data integration and workflow automation tools such as Zapier, Tray.io, Snowflake , or API-based MarTech integrations.

Working knowledge of machine learning concepts—including predictive analytics, NLP, clustering, and recommendation models—as applied to marketing automation.

Advanced Excel or Python skills for data transformation and insight generation are preferred.

Experience in enterprise B2B SaaS or complex enterprise go-to-market environments , particularly those involving long sales cycles and multi-persona buying processes.

Strong understanding of data privacy, governance, security, and ethical AI principles relevant to marketing data and automation.

Demonstrated cross-functional leadership experience, including managing teams or agencies, establishing OKRs, and delivering measurable performance improvements.

Strategic and structured thinker who can connect AI, analytics, demand strategy, and revenue outcomes.

Excellent communication, influencing, project management, and stakeholder management skills.

Curious, iterative mindset with the ability to balance innovation with operational discipline.

Bachelor’s degree in Marketing, Business, Data Science, or a related field required.

Preferred: Master’s degree in Marketing Analytics, AI/ML, or an MBA with an analytics focus.

Preferred: Certifications in SiriusDecisions Demand Waterfall, Salesforce AI, advanced MarTech operations, or related disciplines.

Benefits

Annual on-target earnings: Approximately $160,000–$195,000 USD , including base salary and bonus.

Flexible remote work environment and location options.

Competitive compensation package with bonus opportunities.

401(k) program.

Inclusive parental leave policy supporting all parents and caregivers.

Flexible paid time off and paid holidays.

Medical and wellness-focused benefits, including personal and pet insurance options.

Wellness and mental health initiatives.

Opportunities to work with cutting-edge supply chain technology, AI, analytics, and digital innovation.

Customer-centric environment focused on delivering measurable business value.

Employee referral bonus program.

Collaborative and engaging work environment.

Opportunity to contribute to innovative, technology-driven initiatives within a global B2B enterprise.

Strong emphasis on curiosity, integrity, accountability, and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1