Engineering Manager – Search, Consumer AI

This is a fully remote position, open to applicants in New York.

📋 Description

• Lead a software engineering team focused on Search and Consumer AI.

• Meet commitments in Search and Consumer AI, taking full ownership of delivery plans from start to finish.

• Define and prioritize work, eliminate obstacles, and manage potential risks.

• Establish standards for reliability, performance, relevance quality, and observability in AI and search services.

• Ensure adherence to data governance, security, compliance, and responsible AI standards.

• Manage on-call duties, incident response, and operational health for team systems.

• Collaborate with Product and engineering leadership for planning and roadmap creation.

• Integrate AI experiences into product interfaces while fostering shared ownership, defining interfaces, and setting quality benchmarks.

• Oversee the evaluation, integration, and deployment of LLMs and ML models.

• Coordinate with engineers, adjacent teams, and cross-functional partners for comprehensive delivery.

• Present team plans, progress updates, and risks during planning and review meetings.

• Recruit, onboard, mentor, and develop engineers.

• Establish team processes for planning, reviews, retrospectives, and experimentation.

⛳️ Requirements

• 1-3+ years of experience managing a software engineering team, or substantial tech-lead experience with people-lead responsibilities, delivering complex, high-scale systems.

• Proficiency in a Java / AWS ecosystem.

• Experience in deploying consumer-facing AI/ML or NLP features to production, including integrating LLMs and creating reliable pipelines and evaluation methods.

• Strong grasp of search, discovery, or relevance systems, encompassing both traditional search and LLM-based techniques.

• Excellent technical judgment and the ability to communicate clearly and confidently with engineers, Product partners, and leadership.

• Demonstrated capability to mentor engineers and cultivate a healthy, high-performing team culture.

• Familiarity with AWS Bedrock or similar managed AI services is preferred.

• Experience in customer support AI or embedded consumer AI experiences is preferred.

• Knowledge of Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce is preferred.

• Experience in creating shared platforms utilized by multiple product teams is preferred.

• Willingness to travel occasionally to Fanatics offices and other locations.

• Role may involve in-person interviews or onboarding components.

• Full-time, non-seasonal hires may be eligible for the Launching into Better: LIVE program.

🏝️ Benefits

• Competitive base salary and bonus.

• Benefits information can be found at https://benefitsatfanatics.com/.

• In-person cultural immersion program, Launching into Better: LIVE, available for eligible full-time, non-seasonal hires.

• Company-sponsored travel for conferences, events, meetings, and team-building activities.