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Build information-rich legal data visualizations using JavaScript, React, D3, and SVG. Use Python and Pyramid to retrieve and prepare data. Design for accessibility and usability, integrate new legal content with subject-matter experts, collaborate with frontend/back-end and NLP engineers, and participate in code reviews. Provide a portfolio of reviewable code samples.

Enable high-performing cross-functional engineering teams by facilitating Agile practices, improving flow and predictability, coaching on continuous improvement, managing dependencies and risks, and providing delivery metrics and stakeholder visibility.

The Conversion Engineering-Global Content Consultant role focuses on consulting Global Data Conversion Software Engineering, improving processes, and implementing AI solutions. Responsibilities include supporting offshore teams, driving project completion, and creating documentation for standards.

Drive new business sales into state and local government by prospecting and high-volume cold calling, demonstrating product value, achieving sales quotas and KPIs, developing client relationships, and obtaining product certification. Hybrid role requiring weekly presence in Miamisburg, Ohio.

Lead and grow the VitalChek sales organization through front-line managers to achieve revenue goals, expand strategic accounts, and acquire new business. Build executive relationships, close complex sales, partner cross-functionally to ensure customer success, set sales priorities and strategy, and coach leaders to drive performance in regulated and government markets.

Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.

Design, build, and optimize large-scale Databricks/Spark/Delta Lake data pipelines and Redshift data platforms. Implement ETL/ELT patterns, ingest telemetry and behavioral data (Matomo, FullStory, Pendo), improve performance and observability, provide L2/L3 production support and RCA, and mentor engineers while shaping data architecture and best practices.

Lead backend design, architecture, implementation, deployment and maintenance for AI-related projects. Mentor engineers, run experiments on large datasets, collaborate with DevOps and global stakeholders, and drive performance, scalability, and reliability improvements.

Conduct advanced data analysis and modeling, build and deploy ML/AI solutions (especially LLMs and generative models), preprocess large datasets, create visualizations, collaborate cross-functionally, document work, and drive research and evaluation of NLP/LLM approaches.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.