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Libra Solutions
US
Source: Libra Solutions careers · View original posting
From Libra Solutions's posting. “We” and “our” refer to the employer.
When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed cumbersome workflows and ease financial barriers for our customers. And our companies are leaders in their industries! Oasis Financial is the largest and most recognized national brand in consumer legal funding. Oasis helps consumers awaiting legal settlements to move forward with their lives.
MoveDocs is a personal injury solutions platform that integrates and streamlines medical, financial, and professional services for personal injury cases. Our mission is to improve outcomes for plaintiffs, accelerate settlements for attorneys, and ensure timely payment for providers. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible.
We also are the leading inheritance funding provider through Probate Advance, helping heirs access their inheritance immediately, without the lengthy process of probate.
Together, under the Libra Solutions banner, we have relationships with over 40,000 attorneys and over 7,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.
The Technical Product Owner is responsible for the full requirements and delivery lifecycle within an assigned engineering pod. The role requires genuine technical depth combined with the product ownership skills to lead stakeholder discovery, translate business complexity into engineering-ready specifications, and own sprint execution through all Agile ceremonies.
AI-assisted tooling is central to how this role works. The TPO directs AI workflows to generate and accelerate requirements artifacts across the full product lifecycle — user stories, acceptance criteria, process flows, integration specifications — and applies technical judgment and domain expertise to validate that AI-generated output is accurate, complete, and aligns to business requirements.
This position reports to the VP/Director, Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.
Lead discovery for assigned initiatives; work directly with business stakeholders and subject matter experts to define problem scope, identify root causes, assess solution options, and establish requirements boundaries prior to formal authorship
Investigate existing system behavior through direct code review, database query execution, and API interaction to establish accurate implementation baselines that inform solution design and requirements precision
Translate business and operational requirements into technically precise epics, features, user stories, acceptance criteria, data flow diagrams, process flows, and integration specifications
Direct AI-assisted tools to generate and accelerate requirements artifacts; validate AI output for technical accuracy, business-rule fidelity, completeness, and edge case coverage
Maintain the pod's domain knowledge base — business rules, system documentation, integration patterns, and domain glossaries — structured for accurate consumption by AI agents and engineering teams
Own and maintain the pod's product backlog, ensuring work is continuously refined, sequenced, and engineering-ready across new features, enhancements, and technical sustainability work
Partner with Product Management to translate roadmap direction into engineering-ready deliverables and assess technical feasibility against business priorities
Partner with senior engineers and architecture teams on complex integration decisions, cross-system dependencies, and solution designs that require joint technical and requirements judgment
Lead all pod ceremonies — refinement, sprint planning, sprint review, and retrospective
Accept user story delivery through functional validation, acceptance criteria verification, and direct review of pull requests and implementation code; maintain and enforce a consistent definition of done that encompasses both behavioral and implementation standards
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