
Senior Manager, Data Science – Gen AI, Content Systems
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Illinois, +4 more states.
• Establish the vision and strategic goals for Data Science throughout the content ecosystem.
• Lead and mentor a team of data scientists and machine learning engineers.
• Propel applied research from rapid prototyping to full production deployment.
• Develop and enhance offline evaluation frameworks, benchmarking pipelines, and human-in-the-loop feedback systems.
• Collaborate with Data Science teams to optimize the reuse of components and patterns.
• Define and implement the AI roadmap across the content lifecycle.
• Design and launch production-grade AI systems, including LLM document understanding, agentic workflows, RAG pipelines, and hybrid ML/rules systems.
• Write code, construct and showcase prototypes, and actively contribute to experiments and production models.
• Establish best practices for model development, evaluation, monitoring, prompt engineering, data preparation, and feature engineering.
• Collaborate with engineering, architecture, and product leaders to incorporate AI into distributed systems, ensuring performance, scalability, and reliability.
• Transform ambiguous challenges into actionable project plans and guide teams through successful delivery.
• Mentor and develop multidisciplinary data scientists and ML engineers focused on LLM.
• Foster collaboration with Legal SMEs, Data Engineers, Product Managers, and Design teams.
• Manage infrastructure for continuous delivery and monitoring of LLM systems in production.
• An advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field is strongly preferred, or equivalent practical experience.
• A Bachelor’s degree in a relevant field with substantial applied experience in data science, machine learning, or AI.
• Over 8 years of relevant experience in data science, machine learning, or applied AI.
• More than 4 years of leadership experience with direct or indirect team management.
• Proven impact, technical expertise, and leadership abilities.
• Capability to select suitable tools and technologies for business challenges.
• Proficiency in Python.
• Familiarity with Google ADK, LangChain, ML frameworks like TensorFlow and PyTorch, and prompt tuning techniques.
• Understanding of vector databases, knowledge graphs, and hybrid retrieval architecture.
• Experience handling structured and unstructured data at scale.
• Skills in designing and implementing data pipelines and preparation workflows.
• Experience integrating ML into complex, multi-stage processing systems.
• Knowledge of containerization, CI/CD, RESTful API design, and model serving tools.
• Cloud infrastructure experience with AWS, Azure, or GCP.
• Familiarity with AI coding tools such as GitHub Copilot, Claude Code, and OpenAI Codex.
• At least 8 years of post-degree experience, including over 4 years in a data science or applied AI leadership role with a focus on NLP/LLM systems.
• Prior experience in legal tech, legal AI, or document-heavy domains is highly desirable.
• Awareness of ethical and legal considerations in professional generative AI implementations.
• Flexible working hours.
• Wellbeing initiatives.
• Shared parental leave.
• Study assistance.
• Sabbaticals.
• Comprehensive, multi-carrier medical, dental, and vision benefits.
• 401(k) with matching contributions.
• Employee Share Purchase Plan.
• Wellness platform with incentives.
• Subscription to the Headspace app.
• Employee Assistance and Time-off Programs.
• Short- and Long-Term Disability Insurance.
• Life and Accidental Death Insurance.
• Critical Illness Insurance.
• Hospital Indemnity.
• Family benefits, including bonding and family care leaves, as well as adoption and surrogacy support.
• Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
• Up to two days of paid leave each year to participate in Employee Resource Groups and volunteer for charitable organizations.
• Annual incentive bonus.
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