AI product manager - NC

BlackCube Labs; Charlotte (NC); On-site; USD 100,000 - 134,000; Full time

Job summary

BlackCube Labs is seeking an AI Product Owner for a 6-month contract based in Charlotte. This role requires 3 days in office per week with locals only, and an emphasis on translating business needs into automated AI solutions.

The candidate will bridge business and tech teams, manage the automation backlog, and ensure alignment with regulatory and enterprise standards while supporting testing and stakeholder collaboration.

Qualifications

• Experience with AI/Gen-AI and multi-agent workflows.
• Banking experience or regulated environments a plus.
• Understanding of System Development Lifecycle and information security requirements.
• Excellent communication and stakeholder management skills.
• Experience leading engineering teams on AI/automation projects.

Responsibilities

• Act as liaison between business lines and technology partners to deliver automated solutions.
• Translate business processes into clear user stories and groom the backlog for automation delivery.
• Support automation testing and facilitate user acceptance testing.
• Conduct product demos and communicate risks with mitigation options.
• Drive accountability and align initiatives with enterprise standards and release cycles.
• Collaborate with Business Execution and team leaders to drive strategic initiatives.
• Respond to developer needs and clarify client requirements to guide functionality decisions.

Skills

AI/Gen-AI understanding

Multi-agent workflows

Excellent communication

Stakeholder management

Agile methodologies

Tools

LangChain

LangGraph

Google Agent Space

MS Copilot Studio

Job description

AI PRODUCT OWNER

Duration: 6-month contract with potential to extend

Location Requirement: Charlotte (Only locals)

3 days a week in office required

Interview

30 min Teams Interviews

Responsibilities

• Act as a liaison between our lines of business and technology partners by facilitating the
• delivery of highly complex business problems to be solved with automated solutions
• Support the business in the alignment of their Intelligent Automation (IA) needs/usage with
• their technology and business strategies
• Support the development of the automation analysis and design methodology, including
• the related policies, procedures, tools and artifacts, to ensure a "rapid" implementation
• process that aligns with established release cycles and related enterprise standards
• Work directly with subject matter experts within the lines of business to fully comprehend
• business processes and translate those processes into clear and concise user stories,
• create and groom the backlog for automation delivery and deployment
• Support automation testing, as well as facilitate user acceptance testing
• Conduct product demos, provide product acceptance
• Identify and communicate risks and impacts and propose risk mitigation options,
• considering business implications of the application of technology to the current business
• environment
• Provide in-depth and sophisticated analysis applying interpretive thinking and design
• thinking to define problems, develop innovative solutions and influence strategic functional
• decisions
• Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as
• appropriate
• Collaborate and consult with members of the Business Execution team and team leaders
• to drive strategic initiatives
• Respond and collaborate with developers regarding the requirements and the client needs
• Make decisions product/functionality/experience area requiring strong understanding of the
• business, policies, procedures and/or compliance requirements
• Proactively notify stakeholders of risks, bottlenecks, problems, issues, and concerns

Technical Requirements

• Banking Experience
• Ensure compliance with System Development Lifecycle and Information
• Security requirements
• Strong understanding of AI, Gen-AI, Agentic AI, multi-agent systems, and orchestration platforms, with ability to translate business needs to technical requirements.
• Experience in leading and collaborating with Engineering teams to design and implement AI, Agentic AI workflows using LangChain/LangGraph, Google Agent Space, MS CoPilot Studio, etc.,
• Experience deploying AI/ML solutions in regulated environments.
• Strong understanding of Agile methodologies and enterprise software development.
• Familiarity with Gen AI platforms (e.g., OpenAI, Azure OpenAI, BloombergGPT).
• Excellent communication and stakeholder management skills.