Senior Manager, AI Marketing Operations

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.