Engineering Manager, Search & Consumer AI

fanaticsfbg; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

fanaticsfbg is seeking a senior engineering leader to direct the team responsible for consumer search and AI features across our digital products. You will shape the roadmap with product and technical partners and ensure delivery of reliable, high-scale services.

You will mentor engineers, guide production ML deployments, and collaborate with product, data science, and operations to align priorities and raise the quality of search experiences.

Qualifications

• Experience managing a software engineering team, or significant technical leadership with people-management responsibilities, delivering complex systems at scale.
• Experience building in a Java and AWS environment; familiarity with managed AI services is preferred.
• Track record of shipping consumer-facing AI, machine learning, or NLP features, including production integration and evaluation practices.
• Strong understanding of search, discovery, or relevance systems and how traditional search can work alongside language-model approaches.
• Sound technical judgment, clear communication, and the ability to develop engineers and support a healthy team culture.

Responsibilities

• Plan and deliver work across search and consumer AI, setting scope and sequencing, managing risks, and clearing blockers.
• Raise reliability, performance, and relevance quality; maintain observability and operational readiness for services.
• Guide the evaluation, integration, and production rollout of language models and machine learning systems.
• Work with product teams to define interfaces, ownership, and quality expectations for shared AI experiences.
• Partner with product, data science, customer operations, and engineering leaders on priorities and roadmap decisions.
• Hire, mentor, and support engineers; build effective planning, review, and feedback practices.

Skills

Team leadership

Java

AWS

ML / NLP

Search/relevance

Communication

Team culture

Tools

Kafka

Airflow

dbt

OpenSearch

Kotlin

Salesforce

Job description

Role overview

Lead an engineering team responsible for consumer search and AI capabilities used across digital products. The work spans helping people find relevant content and products, building AI features into customer journeys, and applying AI to customer support. You’ll shape the roadmap with product and technical partners while guiding delivery of reliable, high-scale services.

Responsibilities

• Plan and deliver work across search and consumer AI, setting scope and sequencing, managing risks, and clearing blockers.
• Raise reliability, performance, and relevance quality; maintain observability and operational readiness for services.
• Guide the evaluation, integration, and production rollout of language models and machine learning systems.
• Work with product teams to define interfaces, ownership, and quality expectations for shared AI experiences.
• Partner with product, data science, customer operations, and engineering leaders on priorities and roadmap decisions.
• Hire, mentor, and support engineers; build effective planning, review, and feedback practices.

Requirements

• Experience managing a software engineering team, or significant technical leadership with people-management responsibilities, delivering complex systems at scale.
• Experience building in a Java and AWS environment; familiarity with managed AI services is preferred.
• Track record of shipping consumer-facing AI, machine learning, or NLP features, including production integration and evaluation practices.
• Strong understanding of search, discovery, or relevance systems and how traditional search can work alongside language-model approaches.
• Sound technical judgment, clear communication, and the ability to develop engineers and support a healthy team culture.

Nice to have

• Experience with customer-support AI or AI features such as assistants, recommendations, conversational analytics, or generated commentary.
• Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, or Salesforce.
• Experience building shared platforms used by multiple product teams.

Benefits and work setup

Occasional travel to offices, conferences, events, meetings, and team gatherings may be required. Some interview or onboarding activities may take place in person.