AI Product Engineer Accounting
Listed on 2026-03-11
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IT/Tech
Data Analyst, Data Security
Bridge Legal is a hyper-growth tech startup that provides an AI-powered platform to help plaintiff law firms and litigation funders streamline mass tort and personal injury casework and unlock value from legal assets. Bridge Legal’s technology transforms fragmented legal workflows into structured, scalable systems—enabling clients to move faster, reduce risk, and achieve better outcomes for those who have been injured and harmed.
Through our software, we empower our law firm clients to fight for the rights of the “little guy” with AI, automation, analytics and workflow.
We pride ourselves on being at the forefront of helping provide individuals access to the legal system and bridge the justice gap by enabling law firms to use technology and AI to serve more clients than ever before.
At Bridge Legal, we believe that teamwork and collaboration are the key drivers of success. Our team is made up of talented and passionate individuals who work together to achieve our goals and deliver exceptional results. We value open communication, mutual respect, and a willingness to go above and beyond for our customers and each other. If you're looking for a supportive and collaborative work environment where your ideas and contributions are valued, we invite you to join our team.
MissionThe AI Product Engineer [Accounting] will architect and operationalize intelligent financial systems that transform accounting data into real-time strategic insight. This role sits at the intersection of finance, operations, and product —ensuring that our internal financial infrastructure is not just accurate, but predictive, automated, and decision-enabling.
You will not only automate our manual accounting processes, but you will also apply AI to find actionable insight to improve our financials. It is going to be a very impactful role, as you will have insights into both financials and operations/technology.
This role is responsible for moving finance from reactive reporting to proactive intelligence.
StatusHybrid
Outcomes- You will work with product and technology teams to automate our manual accounting processes.
- You will work with our technology teams to form a datalake for our financial products, establishing multiple integrations with our operation systems to sync data on a daily basis.
- Build data validations to cross-check data accuracy and timeliness.
- Automate financial reporting from our centralized data source.
- Leverage AI to find insight and drive actionable changes to our operations/technology.
- Architect and implement a centralized financial data infrastructure that unifies ERP, accounting, product, and operational systems into a single source of truth.
- Transition finance from manual, reactive reporting to automated, real-time financial intelligence.
- Design and deploy scalable data pipelines and integrations to ensure accurate, daily synchronization of financial and operational data.
- Establish rigorous data validation, governance, and audit controls to ensure accuracy, integrity, and compliance across all financial systems.
- Automate core accounting workflows, reconciliations, and reporting processes to materially reduce close cycle time and manual workload.
- Develop executive dashboards and KPI frameworks that provide leadership with real-time visibility into revenue, cost drivers, margins, and operational performance.
- Build predictive financial models to forecast revenue, cash flow, case performance, and capital allocation needs.
- Implement AI-driven analytics and anomaly detection to proactively identify risks, inefficiencies, and optimization opportunities.
- Create a long-term roadmap for evolving Bridge Legal’s finance function into an AI-native, intelligence-driven operation.
- Bachelor’s degree in Data Analytics, Computer Science, Engineering, or related field.
- 1+ years of hands-on experience with SQL, Python, or comparable data tools.
- Demonstrated ability to build automation workflows or data pipelines.
- Deep familiarity with and experience using AI tools and AI Agents.
- Strong analytical mindset with the ability to translate finance problems into technical solutions.
- Highly organized, detail-oriented, and…
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