Manager Software Engineering

Are you ready for a leading Engineer role?

Would you enjoy working on our cutting-edge products?

About the Business:

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

About the Team:LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

The Manager of Software Engineer provides leadership, management, direction, and vision to software engineers and/or development employees including offshore contractors/consultants and interns needed to support, run, and change activities in the software development life cycle. The position works closely with development peers, product and project leaders/managers, and other in-house software developers.

This is a full-time position based in Raleigh, NC.

(Hybrid - 3 days in office)

Requirements:

• 10+ years of Software Development experience

• 2+ years of management experience

• BS Engineering/Computer Science or equivalent experience required; advanced degree preferred

• Experience leading teams delivering AI/ML-driven products or data-intensive platforms is strongly preferred.

Technical Skills:

• Expertise and proven experience in various staffing and resource models.

• Strong proficiency in database technology, design and manipulation, optimization, and best practices.

• Knowledge in normalized/dimensional data modeling principles and their application to complex business needs.

• Experience with modern data architectures supporting AI systems (e.g., data pipelines, feature/embedding pipelines).

• Proven knowledge and experience in project planning and management tools to manage project progress, budget, and scope.

• Experience in code reviews and development approaches.

• Expertise in industry best practices in offshore partnership development.

• Proven ability to lead test-driven development and maintenance.

• Industrywide or broad companywide technical knowledge.

• Specialized coding skills.

• Knowledge of large complex systems.

• Proven ability to adapt to new roles and responsibilities.

• Software development process expert in applicable methodologies (e.g., Agile, Waterfall).

• Expertise in data modeling, design and manipulation, optimization, best practices, tuning, and leading industry trend knowledge.

• Experience building or managing AI-enabled systems, including LLM integrations, RAG pipelines, or search/recommendation systems.

• Familiarity with vector databases, semantic search, and information retrieval systems (e.g., Pinecone, OpenSearch, Elasticsearch).

• Understanding of prompt engineering, model evaluation, and AI system reliability (e.g., hallucination mitigation, evaluation frameworks).

• Expert knowledge of multiple data storage subsystems.

• Strong budgeting and finance skills.

• Proven expertise in the use and development of applicable desktop tool sets.

• Proven expert in partnering and leading internal and external technology resources in solving complex business needs.

• Strong experience with various resource models such as Managed Services and/or Staff Augmentation.

• Strong proficiency with data manipulation language including optimization techniques.

• Ability to design and work with complex data models.

• Knowledge in using and developing applicable tool sets.

• Ability to write and review portions of detailed specifications for the development of system components of advanced complexity.

• Strong skills in setting, communicating, implementing, and achieving