Senior Product Manager - AI

Libra Solutions helps simplify and ease the burden of legal processes for plaintiffs, heirs, and the attorneys and doctors who serve them. By combining financial strength with technology-driven innovation, we simplify difficult legal processes, reduce delays, and help people access both money and the care they need, when they need it most. Our companies are leaders in their industries! MoveDocs streamlines the coordination of medical, financial, and professional services for personal injury cases—improving efficiency for attorneys, care providers, and their clients. Oasis Financial is the largest and most recognized plaintiff funding brand in the nation, having helped 400,000+ plaintiffs access more than $2 billion in funding while their personal injury cases progress. And through Probate Advance, we enable heirs to access their inheritance without waiting through the lengthy probate process.
Together, under the Libra Solutions banner, we support a nationwide network of more than 45,000 attorneys and 10,000 healthcare providers - creating a powerful platform to deliver faster, more seamless outcomes for our customers.
We are looking for a Senior Product Manager to own product strategy and execution for C3, Libra's internal case management and operations platform. C3 is the backbone of Libra's funding operations — supporting underwriting, negotiations, servicing, payment processing, document management, and workflow automation across multiple business lines.
This role has a dual mandate: (1) deliver measurable product and business outcomes for C3 by partnering with domain-aligned engineering teams to ship high-quality features at pace, and (2) help the product organization work smarter and ship faster using modern AI tools, rapid prototyping, and AI-assisted product development practices.
The ideal candidate brings strong product judgment, UX instincts, and technical fluency, with a blended background across product, engineering, and design/UX. They know how to identify the right problems, validate them quickly, prototype early, and partner cross-functionally to turn ideas into reliable, scalable solutions. They are comfortable operating in a high-throughput delivery environment where engineering capacity is growing and product's ability to keep domain-aligned squads well-fed with refined, validated work is a critical success factor.
This role will report to the VP, Product Management (C3) and can be worked remotely with occasional travel.
Key Responsibilities:
AI-Assisted Product Management
Use tools such as Claude and other AI platforms to accelerate discovery, synthesis, competitive analysis, requirements drafting, UAT plan generation, and day-to-day product work — maintaining refinement velocity as engineering capacity grows
Identify where AI, automation, or decision-support can improve C3 operational workflows and internal user outcomes
Partner with engineering on AI-assisted development practices that improve speed, clarity, and experimentation during build cycles
Define appropriate guardrails, fallback paths, and human oversight for AI-enabled experiences within C3
Strategy & Discovery
Lead discovery efforts, competitive analysis, and user interviews to ensure product teams are solving the right problem — not just delivering requested features
Partner with the VP, Product Management and cross-functional leaders to continuously develop, refine, and execute a clear product vision and strategy for C3 aligned to company goals, customer needs, and measurable outcomes
Identify high-value operational and business problems through research, data, workflow observation, stakeholder input, and structured engagement with operations subject matter experts
Validate opportunities with agility through rapid prototyping, MVPs, and customer feedback
Develop deep domain knowledge in C3's operational areas — including underwriting, negotiations, servicing, payment processing, and document management — to reduce dependency on SME availability and improve requirements quality over time
Delivery, Execution & Engineering Partnership
Partner with domain-aligned engineering teams to ensure squads have a continuous pipeline of well-refined, validated work — owning the "what and why" while collaborating with engineering on the "how."
Facilitate intake, prioritization, and sequencing of product initiatives, enhancements, epics, MVPs, and features based on impact, urgency, risk, and learning value
Shape product experiences through strong UX judgment, including workflow design, usability, information hierarchy, and friction reduction for C3's internal user base
Turn 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 identify and refine user stories and acceptance criteria
Coordinate structured SME engagement with operations teams — respecting their bandwidth constraints while ensuring requirements capture the business rules, process exceptions, and domain nuance that drive quality
Lead or participate in UAT planning and execution, either directly or by creating structured UAT plans and partnering with SMEs to complete validation
Measurement & Outcomes
Define success metrics for every significant initiative and evaluate performance using customer feedback, usage data, operational metrics, and failure analysis
Track whether shipped features deliver expected business outcomes. When results fall short, make explicit and documented iterate, stop, or pivot decisions — closing the accountability loop between delivery and realized value
Communicate roadmap decisions, tradeoffs, and progress clearly to stakeholders
Partner with operations, legal, compliance, and go-to-market teams to support rollout and adoption of C3 capabilities
Requirements
7+ years of Product Management experience in software, workflow, or operations-heavy environments, with at least 3 years in a senior PM or equivalent role
Demonstrated ability to keep multiple engineering squads fed with refined, validated work in a high-throughput delivery environment — maintaining backlog health and requirements quality as delivery velocity scales
Hands-on fluency using modern AI productivity tools such as Claude and similar platforms to accelerate research, synthesis, prototyping, requirements drafting, and day-to-day product work
Strong understanding of how AI can be integrated 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 rather than surface-level novelty
Strong product judgment and the ability to move from discovery to delivery to measurable business outcomes, with demonstrated accountability for whether shipped features achieved their intended results
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
Proven ability to develop domain expertise in complex operational environments and to engage subject matter experts in structured, time-efficient ways that respect their 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 simultaneously
Excellent communication, prioritization, and cross-functional collaboration skills
Preferred Qualifications
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 where business rules are complex and domain knowledge is a critical product input
Familiarity with workflow automation or decision engine platforms
Experience partnering with domain-aligned engineering squads or embedded technical product owner models
Benefits
We believe taking great care of our customers starts with taking great care of our people. That's why we offer competitive compensation and a comprehensive benefits package, including a choice of multiple medical plans, dental, vision, and life insurance, a 401(k) with generous company match, flexible spending accounts for medical and dependent expenses, and time off to recharge.

Work arrangement
Yes