Remote Product Manager – AI-Driven Platform Solutions

Advyzon

United States

Remote

USD 117,000 - 143,000

Full time

4 days ago

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Job summary

Advyzon is seeking a Product Manager to lead the strategy, vision, and evolution of our platform solutions, including AI-powered enhancements for wealth management workflows. You will own the product roadmap, collaborate with engineering, design, and sales, and drive adoption of innovative features that deliver measurable value to financial advisors and clients.

The role requires hands-on experience with AI-enabled products, a strong fintech background, and a track record of delivering software

Qualifications

Experience working with financial advisors, wealth management, or investment platforms.
Strong understanding of SaaS platforms, fintech technologies, and modern software product development practices.
Experience with AI-powered products, generative AI, or AI-driven solutions.
Familiarity with LLMs, AI agents, conversational AI and intelligent automation.
Ability to identify, evaluate, and prioritize AI use cases based on user needs and feasibility.
Proven experience delivering product roadmaps from concept through launch.
Experience collaborating with cross-functional engineering, design, and analytics teams in Agile.
Strong analytical, problem-solving, and decision-making skills; data-informed.
Excellent communication, interpersonal and stakeholder management abilities.
Detail-oriented, proactive and adaptable in a fast-changing environment.

Responsibilities

Own the strategic product roadmap for platform solutions, aligning with company goals and market opportunities.
Identify opportunities to leverage AI, including generative AI, AI agents, and intelligent automation.
Gather and prioritize feature requests from clients, internal stakeholders, and market research.
Translate business needs into clear requirements, user stories, and acceptance criteria.
Collaborate with engineering, design, AI development, service, and sales to deliver scalable solutions.
Define AI use cases, support development, testing, and implementation of AI-driven features.
Monitor product performance, adoption metrics, and user feedback to drive improvement.