Role Overview
AssetMark is hiring a Associate Product Manager, Internal AI. This is a full-time role in Charlotte. posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
Job Description:
AssetMark is a leading wealth management platform dedicated to empowering independent financial advisors. Over 10,000 advisors rely on AssetMark for investment solutions, technology, services, and expertise to help them grow their businesses.
The Opportunity
AssetMark’s AI Tiger Team is transforming how our 1,000+ employees work. As Associate Product Manager, Internal AI, you will join this cross-functional team and help identify, prototype, launch, and improve AI tools that increase productivity, streamline workflows, and enhance the employee experience.
This is an early-career product role for someone with strong technical curiosity and extensive hands-on experience using AI to automate, accelerate, or improve real-world work. You should be an active builder who experiments with AI tools, creates prototypes, connects systems, tests ideas quickly, and learns by doing.
Working closely with the Director of Product, Internal AI, engineers, data professionals, and business teams, you will turn employee workflow problems into practical AI solutions. You will contribute directly to building prototypes, agents, automations, and internal tools—not only coordinate their development.
We can only 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 Discovery and Prioritization
- Interview employees, observe workflows, and identify high-value opportunities for AI and automation.
- Map current processes and uncover repetitive, slow, manual, or error-prone work.
- Evaluate opportunities based on user value, business impact, feasibility, risk, and effort.
- Help define product goals, MVP scope, requirements, success metrics, and launch plans.
- Research new AI tools, models, platforms, and automation approaches that may benefit AssetMark.
Hands-On AI Product Building
- Rapidly build prototypes, proofs of concept, AI agents, automations, prompts, workflows, and lightweight internal tools.
- Use AI personally and extensively to improve research, analysis, documentation, communication, testing, and operational workflows.
- Experiment with LLMs, APIs, automation platforms, integrations, data sources, and low-code or no-code tools.
- Translate promising prototypes into clear product concepts that engineering teams can harden, scale, and support.
- Partner closely with engineers while remaining actively involved in design, configuration, testing, troubleshooting, and iteration.
- Evaluate AI output quality, reliability, usability, and operational fit.
- Help investigate issues involving data, integrations, permissions, accuracy, security, or performance.
Launch, Adoption, and Improvement
- Gather employee feedback before and after launches and use it to improve products quickly.
- Support pilots, demonstrations, onboarding, office hours, training, and launch communications.
- Create clear documentation, playbooks, FAQs, and self-service resources.
- Help employees understand when and how to use AI tools safely and effectively.
- Track adoption, repeat usage, satisfaction, time saved, quality improvement, and cycle-time reduction.
- Turn usage data and employee feedback into practical product improvements.
Cross-Functional Execution
- Work with Product Engineering, Data, IT, Security, Compliance, Legal, Risk, and business teams to deliver secure, useful AI capabilities.
- Coordinate dependencies, decisions, testing, risks, and delivery activities.
- Prepare product demonstrations, progress updates, dashboards, and recommendations for stakeholders.
- Help establish repeatable methods for evaluating, launching, and scaling internal AI solutions.
- Reinforce responsible AI, data privacy, security, and compliance requirements.
Knowledge, Skills, and Abilities
- Strong technical fluency and curiosity about generative AI, LLMs, agents, APIs, integrations, automation, and data flows.
- Demonstrated hands-on use of AI to automate, expedite, or improve real-world workflows.
- Ability and enthusiasm to build working prototypes rather than only write requirements or coordinate others.
- Foundational product management skills, including discovery, prioritization, testing, launch planning, and measurement.
- Ability to turn ambiguous workflow problems into practical experiments and product ideas.
- Strong analytical, problem-solving, and organizational skills.
- Clear written and verbal communication with technical and non-technical audiences.
- Comfort learning new tools quickly and working in an environment where solutions are not yet well defined.
- Sound judgment regarding responsible AI, data security, privacy, compliance, and enterprise risk.
- Empathy for users and a strong interest in improving how employees work.
Education and Experience
- Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, Data Science, Economics, Finance, or a related field, or equivalent practical experience.
- 0–3 years of experience in product management, technology, software development, data, operations, consulting, automation, or a related field.
- Experience building or contributing to AI tools, automations, internal products, prototypes, or technology-enabled workflow improvements through work, internships, academic projects, or independent projects.
- Hands-on experience with generative AI tools, AI agents, APIs, automation platforms, analytics tools, or low-code/no-code development.
- Experience in financial services, fintech, wealth management, or another regulated industry is a plus.
Why Join AssetMark?
Join an established AI Tiger Team driving transformation across more than 1,000 employees.
Build practical tools that improve how employees work every day.
Gain hands-on experience across AI prototyping, product development, launch, adoption, and measurement.
Work closely with experienced AI, product, engineering, data, and business leaders.
Help define how AssetMark responsibly uses AI to improve productivity, innovation, and employee experience.
Compensation: The Base Salary range for this position is between $77,000-$97,000.
This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.
Candidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.
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Who We Are & What We Offer:
We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they’re heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work.
Our Mission
Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients’ lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience.
Our Values
Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day.
We believe in:
Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities.
Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships.
Unyielding Integrity, doing what’s right, always. Even when it’s hard.
Collective Respect, in being authentic, inclusive and valuing all voices while winning together.
Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions.
These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family.
Our Culture & Benefits
Our culture brings our mission and values to life. Here, we do what’s right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family—because thriving at work starts with thriving in life.
Flex Time or Paid Time Off and Sick Time Off
401K – 6% Employer Match
Medical, Dental, Vision – HDHP or PPO
HSA – Employer contribution (HDHP only)
Volunteer Time Off
Career Development / Recognition
Fitness Reimbursement
Hybrid Work Schedule
As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.
About AssetMark
Frequently Asked Questions
How do I apply for the Associate Product Manager, Internal AI position at AssetMark?
Use the Apply button above to submit your application directly to AssetMark. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Associate Product Manager, Internal AI position at AssetMark located?
This position is based in Charlotte. AssetMark has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Associate Product Manager, Internal AI at AssetMark earn?
AssetMark has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Associate Product Manager, Internal AI role at AssetMark posted?
This role was posted on July 24, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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