Senior Product Manager

Libra Solutions•Charlotte, NC

4h•Hybrid

About The Position

Libra Solutions is hiring a Senior Product Manager to own product strategy and execution for C3, its internal case management and operations platform. C3 supports underwriting, negotiations, servicing, payment processing, document management, and workflow automation across multiple business lines. The role is responsible for delivering measurable product and business outcomes in partnership with domain-aligned engineering teams, while helping the product organization work more efficiently through modern AI tools, rapid prototyping, and AI-assisted product development practices. The successful candidate will combine strong product judgment, UX instincts, and technical fluency, and will identify and validate problems, prototype solutions, and partner cross-functionally to deliver reliable, scalable products. They will maintain a pipeline of refined, validated work for engineering squads in a high-throughput delivery environment, develop deep knowledge of C3’s operational domains, and use research, data, workflow observation, stakeholder input, and structured subject matter expert engagement to guide decisions. The position is based in the Charlotte, North Carolina office on a hybrid basis and reports to the VP, Product Management (C3).

Requirements

At least 7 years of Product Management experience in software, workflow, or operations-heavy environments, including at least 3 years in a senior Product Manager or equivalent role.
Demonstrated ability to keep multiple engineering squads supplied with refined, validated work in a high-throughput delivery environment while maintaining backlog health and requirements quality as delivery velocity scales.
Hands-on fluency with modern AI productivity tools such as Claude and similar platforms for research, synthesis, prototyping, requirements drafting, and daily product work.
Strong understanding of integrating AI into products and workflows, including the practical strengths, limitations, risks, and design considerations of LLM-enabled experiences.
Ability to define and evaluate success for AI-powered features using metrics, feedback loops, production observations, and failure analysis.
Strong product judgment and demonstrated accountability for moving from discovery through delivery to measurable business outcomes.
Strong UX instincts and ability to simplify complex operational workflows for internal users.
Experience working with or alongside domain-aligned engineering teams, technical product owners, or embedded engineering leads in an agile delivery environment.
Ability to develop domain expertise in complex operational environments and engage subject matter experts in structured, time-efficient ways that respect operational commitments.
Experience in legal tech, healthcare, insurance, claims, fintech, or other regulated environments.
Experience balancing innovation with compliance, privacy, and operational reliability.
Ability to work independently, navigate ambiguity, and manage multiple priorities.
Excellent communication, prioritization, and cross-functional collaboration skills.

Nice To Haves

Background spanning engineering, product, and design/UX, or deep experience working across all three.
Experience with internal operations platforms, case management systems, or workflow-heavy B2B applications.
Experience in personal injury, medical funding, legal funding, or adjacent verticals with complex business rules and domain-dependent product requirements.
Familiarity with workflow automation or decision engine platforms.
Experience partnering with domain-aligned engineering squads or embedded technical product owner models.

Responsibilities

Use AI tools such as Claude and other platforms to accelerate discovery, synthesis, competitive analysis, requirements drafting, UAT planning, and day-to-day product work.
Identify opportunities for AI, automation, and decision support to improve C3 workflows and outcomes for internal users.
Partner with engineering on AI-assisted development practices and define guardrails, fallback paths, and human oversight for AI-enabled experiences.
Lead discovery, competitive analysis, and user interviews to ensure teams solve the right problems.
Develop and execute C3 product vision and strategy with the VP, Product Management and cross-functional leaders, aligned with company goals, customer needs, and measurable outcomes.
Identify high-value operational and business problems through research, data, workflow observation, stakeholder input, and engagement with operations subject matter experts.
Validate opportunities through rapid prototyping, MVPs, and customer feedback.
Build deep domain knowledge in underwriting, negotiations, servicing, payment processing, and document management.
Maintain a continuous pipeline of refined, validated work for domain-aligned engineering teams, owning the what and why while collaborating on the how.
Facilitate intake, prioritization, and sequencing of initiatives, enhancements, epics, MVPs, and features based on impact, urgency, risk, and learning value.
Shape C3 product experiences through workflow design, usability, information hierarchy, and friction reduction.
Translate ambiguous business requests into clear product requirements, MVP definitions, and end-to-end experience decisions.
Author product initiatives, epics, and features, and collaborate with engineering partners to refine user stories and acceptance criteria.
Coordinate structured engagement with operations subject matter experts to capture business rules, process exceptions, and domain nuance while respecting their time constraints.
Lead or participate in UAT planning and execution, including preparing structured plans and partnering with subject matter experts on validation.
Define success metrics for significant initiatives and evaluate results using customer feedback, usage data, operational metrics, and failure analysis.
Track whether features deliver expected business outcomes and make documented decisions to iterate, stop, or pivot when results fall short.
Communicate roadmap decisions, tradeoffs, and progress to stakeholders.
Partner with operations, legal, compliance, and go-to-market teams to support rollout and adoption of C3 capabilities.