Demonstrates expertise in product management and ownership, particularly in defining product vision, strategy, and measurement frameworks for AI-enabled platforms. Proficient in translating complex business processes into actionable product roadmaps and metrics that drive value delivery and workflow efficiency.

Highest-signal resume keywords

Product Management ExperienceAI-Enabled Software DevelopmentCross-Functional CollaborationProduct Measurement FrameworksEnterprise Knowledge Management

About the role

Key responsibilities & impact

Own the product vision, strategy, roadmap, priorities, and operating measures for the AI PDLC platform and measurement framework
Translate the future-state PDLC into personas, workflows, roles, artifacts, gates, user stories, acceptance criteria, and product requirements
Define and evolve measures across PDLC phases, including DORA metrics, throughput, cycle time, queue time, inter-task delay, quality, adoption, and business value
Partner with engineering, architecture, design, AI DevOps, AI governance, risk, and delivery teams to define human experiences, agent lifecycle capabilities, knowledge access, orchestration, and governance requirements
Lead pilot readiness activities, including hypothesis development, baseline definition, scenario planning, success and failure criteria, evidence collection, findings analysis, and iterative improvements from pilot through scale
Manage and prioritize the product backlog using data and stakeholder feedback to address dependencies, evaluate trade-offs, and improve value delivery and workflow efficiency
Define enablement approaches, feedback mechanisms, operating practices, and reporting frameworks that support adoption and measure product outcomes

Requirements

What you’ll need

7+ years of product management or product ownership experience supporting enterprise software, workflow, platform, or other complex technology products
Experience translating complex business processes or operating models into product strategy, roadmaps, workflows, requirements, and measurable outcomes
Experience leading cross-functional product delivery with engineering, design, architecture, data, and business stakeholders in a complex enterprise environment
Working knowledge of software development lifecycles, product and delivery metrics, pilot design, and data-driven product decision-making
Practical understanding of generative AI, AI agents, or AI-enabled software development and their application to enterprise workflows
Experience in financial services or another regulated industry with governance, risk, privacy, records management, or supervisory requirements
Experience with enterprise knowledge management, workflow and orchestration platforms, AI agents, or human-plus-agent operating models
Experience developing product measurement frameworks, connecting operational metrics to business outcomes, and using pilot results to guide investment and scaling decisions

Benefits

Comp & perks

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
LPL Total Rewards package

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product StrategyRoadmap DevelopmentWorkflow DesignDORA MetricsData-Driven Decision MakingPilot DesignAcceptance CriteriaUser StoriesProduct RequirementsOperational Metrics

Soft Skills

Stakeholder ManagementAnalytical ThinkingIterative ImprovementScenario PlanningCommunication

Tools & Technologies

AI DevOpsWorkflow PlatformsOrchestration ToolsKnowledge Management SystemsGovernance Frameworks

Industry Keywords

Financial ServicesRegulated IndustryGovernanceRisk ManagementPrivacy