Senior News Engineering Manager

About the role

LSEG’s News Engineering group is seeking a Senior Engineering Manager to lead the evolution of our News platform. This role involves delivering enriched, structured breaking news with metadata, entities, and context to customers worldwide in sub-second time. Ideal candidates combine strong people leadership, hands-on technical credibility, and sound execution judgment.

Responsibilities

• Partner with product, architecture, and other engineering leaders to deliver reliable outcomes while evolving a content-driven news platform sustainably.
• Hire, onboard, and develop engineers at varying levels, building high-performing, inclusive teams.
• Care for engineers through regular feedback, career development, and performance management.
• Foster a culture of ownership, accountability, learning, and continuous improvement.
• Create an environment where on-call and operational responsibilities are sustainable and well-engineered, not hero-driven.
• Guide effective, responsible use of AI-assisted development and content intelligence tools to improve productivity and code quality.

Requirements

• Solid technical background in backend or platform engineering (e.g., Java, Python, Linux environments).
• Experience managing teams delivering distributed, real-time, or high-availability systems.
• Understanding of low-latency architectures and operational considerations.
• Familiarity with modern DevOps practices (CI/CD, containers, cloud infrastructure).
• Experience using and guiding teams in the adoption of AI-assisted development tools (e.g., GitHub Copilot).
• Experience with news or content-driven systems, including text processing, metadata enrichment, entity extraction, classification, or other applied NLP techniques.

Qualifications

• Strong communication skills, especially around design decisions, risks, and tradeoffs.

Skills

• Hands-on in design and problem-solving, guiding implementation decisions.
• Review and challenge designs to ensure performance, reliability, correctness, and operability standards are met, particularly for content processing and NLP-driven enrichment systems.
• Support engineers in making pragmatic tradeoffs between speed, quality, and long-term health.
• Ensure teams apply modern engineering practices to content-centric systems, including automated testing of NLP pipelines, observability of data quality and model behavior, and CI/CD for both code and content processing.

Pay

The anticipated base salary for this position is $147,500 - $245,900. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience.

Schedule

Hybrid work options and a balanced work-life environment are available.