Senior Product Manager, Internal AI
AssetMarkAbout the role
Job Description:
AssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose.
The Opportunity
AssetMark is building an AI Tiger Team to transform how our 1,000+ employees work, driving productivity, scale, and employee experience across our organization. As Senior Product Manager, Internal AI, you will be at the forefront of this transformation, owning the strategy, deployment, and impact of AI tools that will reshape how our teams — from investment professionals to engineers — accomplish their work.
This is a hands-on, technical product role where you'll design and build AI agents, manage enterprise AI tools like Slack and desktop AI assistants, and drive adoption across every function. You'll be responsible for identifying and executing high-impact opportunities, measuring tangible results, and cultivating a culture of AI-enabled productivity throughout AssetMark.
The ideal candidate is both a technical builder and a change agent—someone who can code agents one day and drive creative adoption campaigns the next, all while inspiring employees to become citizen developers solving their own workflow challenges with AI.
We can consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office.
Key Responsibilities
Product Ownership & Strategy
Own the product roadmap and strategy for AssetMark's internal AI toolkit, including Slack AI, desktop AI assistants, and custom-built AI agents and tools
Source, evaluate, and prioritize AI opportunities across the organization—from operations to investment teams to engineers to corporate functions
Define product requirements and success metrics for AI initiatives, balancing business impact with technical feasibility
Maintain a roadmap view of AI investments, tracking aggregate impact and optimizing resource allocation
Hands-On Development & Implementation
Design, build, publish, and manage AI agents and automation tools using modern AI platforms and APIs
Partner closely with dedicated AI engineers on architecture and execution
Develop custom solutions for business users (operations, investment professionals, corporate functions) and technical teams (engineers, product managers, designers, data scientists, QA)
Implement and manage enterprise AI tools, ensuring optimal configuration, integration, and user experience
Work closely with Product Engineering and Data teams to integrate AI capabilities into existing workflows and systems
Impact Measurement & Reporting
Develop and operate a comprehensive methodology to quantify AI impact, tracking metrics including hours saved, cost reductions, quality improvements, and employee satisfaction
Establish baseline measurements and continuous tracking systems for AI initiatives
Create dashboards and reporting mechanisms to communicate progress to leadership and stakeholders
Conduct regular ROI analysis to guide investment decisions and demonstrate business value
Adoption & Change Management
Drive organization-wide activation and adoption of AI tools across all departments and functions
Develop comprehensive training materials, documentation, and best practice guides tailored to different user personas
Establish and manage an "AI Champions" program, partnering with representatives in each function to drive local adoption and gather feedback
Create incentive structures and recognition programs to encourage AI experimentation and citizen development
Build self-service resources enabling employees to solve their own workflow challenges with AI tools
Measure and improve adoption rates, user satisfaction, and capability maturity across teams
Ensure employees use AI tools ethically, safely, and responsibly, in adherence with AssetMark’s AI governance framework.
Cross-Functional Collaboration
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