Product Lead: AI-Driven Marketing Planning & Automation

UKG Inc.

Boise (ID)

Sur place

USD 134 000 - 191 000

Plein temps

Il y a 8 jours

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Résumé du poste

UKG, the Workforce Operating Platform, is seeking a Lead Product Manager for Marketing Planning & Automation in Boise. You will own the product vision, strategy, roadmap, and outcomes for Marketing Planning and the integrations that connect UKG's marketing technology ecosystem.

This is a product leadership role focused on end-to-end marketing processes and an AI-first operating model. You will lead the evolution of marketing planning into a scalable enterprise capability, connecting strategic

Qualifications

8+ years of Product Management experience in B2B SaaS or enterprise technology.
Deep experience in Marketing Planning, Marketing Operations, Campaign Management, Marketing Measurement, Attribution, or a related discipline.
Strong understanding of how Marketing activity translates into engagement, opportunities, pipeline, and revenue.
Strong understanding of marketing technology, data, integrations, campaign taxonomy, metadata, and measurement architecture.
Experience transforming manual or fragmented business processes into automated, scalable enterprise products.
Hands-on experience with at least one major marketing automation platform, such as Eloqua, Marketo, or Salesforce Marketing Cloud.
Ability to translate complex business processes and analytical requirements into scalable product capabilities.
Experience leading product discovery, prioritization, user story development, delivery, adoption, and continuous improvement.
Ability to define success metrics and use data to improve product and business outcomes.
Strong cross-functional collaboration, executive communication, and stakeholder alignment skills.

Responsabilités

Lead product strategy, discovery, prioritization, MVP definition, delivery, adoption, and continuous improvement.
Connect marketing planning to campaign intake, prioritization, development, approvals, execution, measurement, and optimization.
Establish consistent campaign taxonomies, hierarchies, metadata, governance, and business processes.
Enable Marketing leaders to model investment scenarios, priorities, capacity, and expected outcomes.
Define a connected campaign operating model across Adobe Workfront, Eloqua, Marketo, Salesforce Marketing Cloud, Salesforce, Cvent, advertising technology, and Google Analytics.
Eliminate manual handoffs, disconnected workflows, spreadsheets, and duplicate work across the campaign lifecycle.
Connect campaign and channel data to engagement, marketing-qualified leads (MQLs), business development representative (BDR) engagement, opportunities, pipeline, and revenue.
Partner with Data and Analytics to deliver trusted data models, reporting, dashboards, attribution, and performance insights.
Identify opportunities to automate repetitive Marketing Operations work and progress from human-driven workflows to AI-assisted and AI-driven execution.
Define product metrics for planning efficiency, campaign velocity, operational efficiency, adoption, data quality, attribution coverage, and business impact.
Shape an agentic AI-first vision for planning and attribution, including recommendations on investment, program prioritization, scaling, and optimization.
Establish appropriate human oversight, governance, explainability, and controls for AI-generated recommendations and decisions.
Drive executive alignment and communicate product strategy, decisions, risks, progress, and outcomes.