Lead Product Manager - Marketing and Sales Technology

UKG•,

12d•$129,500 - $186,100

About The Position

UKG is seeking a highly strategic and execution-oriented Lead Product Manager to drive key initiatives across its Marketing and Sales technology ecosystem. This role will own the product strategy, roadmap, and delivery for core go-to-market capabilities including Account-Based Marketing & Sales (ABX) platforms and workflows, Conversational AI and digital engagement solutions (including Qualified deployment and optimization), Marketing Automation Platform (MAP) capabilities centered on Eloqua, and cross-functional orchestration across Marketing, Sales, Operations, Data, Engineering, and Business Systems. This position sits at the intersection of business transformation, product management, customer engagement, and enterprise technology modernization. The ideal candidate will combine strong product thinking, GTM domain expertise, data-driven decision-making, and the ability to align diverse stakeholders toward measurable business outcomes. The Lead Product Manager will partner closely with Marketing Leadership, Sales Leadership, Revenue Operations, Engineering, Architecture, and BSA teams to drive scalable, intelligent, and measurable customer acquisition capabilities. This role incorporates modern product management principles emphasizing empowered product teams, business outcomes, and continuous discovery.

Requirements

8+ years of Product Management experience in enterprise SaaS, Marketing Technology, Sales Technology, or Revenue Technology domains.
Strong understanding of Account-Based Marketing (ABM/ABX) and Marketing Automation Platforms.
Strong understanding of Conversational AI / chat engagement platforms.
Strong understanding of Lead-to-opportunity lifecycle management.
Experience working closely with Engineering teams.
Experience working closely with Architects.
Experience working closely with Business Systems Analysts (BSAs).
Experience working closely with Revenue Operations.
Experience working closely with Marketing Operations.
Proven ability to lead cross-functional initiatives across complex enterprise environments.
Strong analytical skills.
Strong communication skills.
Strong stakeholder management skills.
Experience defining KPIs, product success metrics, and operational reporting.

Nice To Haves

Experience with Eloqua.
Experience with Qualified.
Experience with Salesforce.
Experience with 6sense.
Experience with Revenue intelligence and attribution platforms.
Familiarity with contact-centric GTM models and buying group strategies.
Experience in B2B SaaS or enterprise GTM environments.
Knowledge of AI-driven engagement and personalization strategies.

Responsibilities

Define and evolve the product vision, strategy, and roadmap for ABX (Account-Based Experience) capabilities, Conversational AI engagement platforms, and Marketing Automation and campaign orchestration.
Align product investments to measurable business outcomes such as pipeline generation, conversion optimization, buyer engagement, sales productivity, and marketing efficiency.
Translate enterprise GTM strategy into scalable product capabilities and operational workflows.
Drive prioritization decisions using customer insights, data, business impact, and technical feasibility.
Lead the evolution of UKG’s ABX ecosystem spanning buying groups, intent data, account engagement, persona targeting, pipeline attribution, and SDR/BDR orchestration.
Partner with Marketing and Sales stakeholders to operationalize account-centric and contact-centric engagement models.
Define measurement frameworks and KPIs for ABX success, including engaged accounts, buying group penetration, pipeline influence, opportunity creation, and velocity improvements.
Own the deployment and optimization strategy for conversational AI solutions, including Qualified.
Define conversational engagement use cases across website engagement, inbound conversion, SDR acceleration, buyer routing, and AI-assisted qualification.
Partner with Sales and Marketing teams to improve visitor-to-pipeline conversion.
Drive experimentation, personalization, and AI-driven engagement optimization.
Lead product direction for Eloqua and associated marketing automation capabilities.
Improve scalability, governance, segmentation, lead/contact lifecycle management, and campaign orchestration.
Partner with Marketing Operations and Revenue Operations teams to modernize nurture programs, engagement tracking, attribution frameworks, and data quality standards.
Ensure platform capabilities support both enterprise-scale campaigns and targeted ABX motions.
Serve as the connective layer between business stakeholders, Engineering teams, Business Systems Analysts (BSAs), Data & analytics teams, and Architecture & operations.
Drive alignment across business and technology organizations through clear prioritization, roadmap communication, and outcome-based planning.
Facilitate workshops, requirement definition, backlog prioritization, and release planning.
Continuously identify and validate customer and business problems.
Conduct stakeholder interviews, workflow analysis, and data-driven discovery.
Validate assumptions before scaling solutions.
Partner with design and engineering early in the ideation process.
Focus on business outcomes rather than feature delivery.
Define clear success metrics and measurable impact for initiatives.
Use experimentation, iteration, and learning loops to improve outcomes.
Translate strategy into executable roadmaps and prioritized backlogs.
Ensure delivery teams understand the “why” behind initiatives.
Balance short-term operational needs with long-term platform scalability.
Build strong trust-based relationships with executive and operational stakeholders.
Communicate product direction clearly across technical and non-technical audiences.
Influence decision-making through data, strategy, and customer insight.
Define and monitor KPIs, adoption metrics, engagement trends, and funnel performance.
Use analytics to identify optimization opportunities and inform prioritization.
Drive a culture of evidence-based decision-making.