AI-Driven Product Owner — Remote & Impactful

Bayview Fund Management, LLC

Coral Gables (FL)

On-site

USD 130,000 - 150,000

Full time

14 days+

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Job summary

Bayview Fund Management, LLC is seeking a highly motivated Product Owner to join its AI-first product development organization. This hybrid/remote role blends product ownership, business analysis, and AI-enabled leadership to translate business needs into high-impact outcomes.

The role supports sprint planning, backlog management, and close collaboration with stakeholders and delivery teams. Ideal candidates have 3+ years delivering digital products in cross-functional teams and a track record

Qualifications

3+ years of experience as a Product Owner, Product Analyst, Business Analyst, Product Manager, or similar role within cross-functional software development teams.
Proven track record delivering digital products and features from concept through release.
Experience working in Agile/Scrum environments.
Strong analytical, problem-solving, and prioritization skills.
Experience writing user stories, acceptance criteria, process flows, and requirements documentation.
Excellent communication and stakeholder management skills.
Experience leveraging AI tools to improve productivity, product outcomes, or team effectiveness.
Ability to work independently while driving alignment across diverse teams.
Hands-on technical role to operate, integrate, and extend AI agents and automation across Azure DevOps, Jira, and cloud APIs via MCP.
Domain fluency and judgment in Mortgage business domain.

Responsibilities

Own and manage product backlogs, priorities, and delivery outcomes.
Facilitate sprint planning, backlog refinement, and stakeholder alignment.
Act as the primary liaison between business stakeholders and delivery teams.
Ensure delivered solutions align with strategic objectives and customer needs.
Leverage AI tools to accelerate product discovery, requirements generation, documentation, analysis, and decision-making.
Utilize AI-assisted workflows to improve team velocity, communication, and product quality.
Champion AI-first practices across the product lifecycle.
Continuously identify opportunities to increase productivity through AI-enabled automation and augmentation.
Operate and monitor production AI agents across Azure DevOps and Atlassian/Jira via MCP and APIs.
Apply PM-quality rubrics at gates to review AI artifacts like BRDs, TCO, and CBA outputs.
Catch and correct weak or generic AI output to ensure expert-grade artifacts.