Entry Level Search Analyst Jobs
New grad search analyst jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings include on-site, remote, and hybrid options across Technology & Software, Consulting & Professional Services, and Retail, with employers like TikTok, Fanatics, and Nebo Agency hiring at this level now.
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About Us
About the Team
Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they're looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience.
You will lead a team of software engineers spanning two closely connected charters:
- Consumer AI: customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance.
- Search: native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results.
Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You'll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence.
Responsibilities
Delivery & Ownership
- Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk.
- Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services.
- Ensure the team's work meets Fanatics standards for data governance, security, compliance, and responsible AI.
- Own on-call, incident response, and operational health for the team's systems.
Strategy & Roadmap
- Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities.
- Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters.
- Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars.
- Guide how LLMs and ML models are evaluated, integrated, and rolled out in production.
Communication & Collaboration
- Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery.
- Represent the team's plans, progress, and risks in planning and review forums.
- Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback.
People & Ways of Working
- Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same.
- Mentor engineers on craft, ownership, and collaboration, and support their career growth.
- Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably.
Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building.
Qualifications
We value aptitude over experience, but here are some key skills that will make you successful on this team:
- 1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems.
- Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred.
- Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable.
- Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other.
- Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership.
- Proven ability to mentor engineers and build a healthy, high-performing team culture.
Preferred
- Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations).
- Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce.
- Experience building shared platforms consumed by multiple product teams.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
#LI-VG1
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.
About Us
About the Team
Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they're looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience.
You will lead a team of software engineers spanning two closely connected charters:
- Consumer AI: customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance.
- Search: native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results.
Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You'll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence.
Responsibilities
Delivery & Ownership
- Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk.
- Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services.
- Ensure the team's work meets Fanatics standards for data governance, security, compliance, and responsible AI.
- Own on-call, incident response, and operational health for the team's systems.
Strategy & Roadmap
- Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities.
- Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters.
- Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars.
- Guide how LLMs and ML models are evaluated, integrated, and rolled out in production.
Communication & Collaboration
- Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery.
- Represent the team's plans, progress, and risks in planning and review forums.
- Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback.
People & Ways of Working
- Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same.
- Mentor engineers on craft, ownership, and collaboration, and support their career growth.
- Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably.
Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building.
Qualifications
We value aptitude over experience, but here are some key skills that will make you successful on this team:
- 1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems.
- Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred.
- Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable.
- Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other.
- Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership.
- Proven ability to mentor engineers and build a healthy, high-performing team culture.
Preferred
- Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations).
- Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce.
- Experience building shared platforms consumed by multiple product teams.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
#LI-VG1
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.
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Entry Level Search Analyst Jobs: Frequently Asked Questions
How do I get an entry level search analyst job?
Start by building hands-on experience with search tools, keyword research platforms, and analytics dashboards, even through personal projects or internships. Employers hiring at this level look for familiarity with search engine optimization basics, comfort with data, and an ability to interpret performance metrics. A portfolio showing real analysis work, even from coursework or a bootcamp, gives you a clear edge over candidates with an empty resume.
Which companies hire entry level search analysts?
Companies hiring entry level search analysts right now include TikTok, Fanatics, and Nebo Agency, based on current listings on Migrate Mate as of November 2026. At this experience level, you'll find openings at a broad mix of employers, from digital marketing agencies and e-commerce brands to media companies and in-house corporate teams building out their search functions.
Are there remote entry level search analyst jobs?
Yes, though availability varies by employer and role type. About 55% of entry level search analyst openings are remote or hybrid as of November 2026, making this a field with real flexibility for candidates who prefer not to commute. Hybrid schedules are common at larger organizations, while fully remote roles appear more frequently at digital-first agencies and tech companies.
Are these new grad search analyst jobs?
Yes, many of the listings here are new grad and junior roles that explicitly welcome candidates with little or no professional experience. A new grad posting typically calls for zero to two years of experience and treats internships, academic projects, or a self-built portfolio as valid qualifications. If a job description mentions entry level, associate, or junior in the title or requirements, it's designed for recent graduates entering the field for the first time.
Which industries hire the most entry level search analysts?
Entry Level search analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Retail, based on current listings on Migrate Mate as of November 2026. These sectors drive the most hiring at this level because they depend heavily on search performance, paid and organic, to reach customers and generate revenue, creating consistent demand for analysts who can learn on the job.