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Enterprise Search Jobs (NOW HIRING)

Jellyfish Digital Group Limited

SEO Director

New York, NY · On-site

$130K - $145K/yr

As an SEO Director within Earned Media, you will lead SEO strategy across enterprise-level clients, ensuring an understanding of broader organic search, content marketing, and digital PR programs.

Accenture

SEO/GEO Director

Los Angeles, CA · On-site

$132K - $302K/yr

Experience with enterprise level SEO tools to automate SEO processes (enterprise SEO platforms, crawlers, analytics, custom scripts, APIs) * Experience leading and executing large-scale SEO ...

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Enterprise Search information

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$45K

$115.3K

$172.5K

How much do enterprise search jobs pay per year?

As of Jun 9, 2026, the average yearly pay for enterprise search in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Enterprise Search Specialist, and why are they important?

To thrive as an Enterprise Search Specialist, you need expertise in information retrieval, data architecture, and knowledge management, usually supported by a degree in computer science or information systems. Familiarity with enterprise search platforms like Elasticsearch, Solr, or Microsoft Search, and relevant certifications are typically required. Critical thinking, problem-solving, and effective communication skills help you understand user needs and translate them into effective search solutions. These skills are essential to ensure information is easily accessible, relevant, and secure across large organizations, directly impacting productivity and decision-making.

What is enterprise search?

Enterprise search refers to the technology and processes used to enable employees to search for and access information stored across an organization's digital systems, such as databases, intranets, emails, and document management systems. Unlike consumer search engines, enterprise search tools are designed to handle structured and unstructured data from multiple internal sources while maintaining security and compliance. These solutions help organizations improve productivity, enhance knowledge management, and support better decision-making by making relevant information easily discoverable.

How does an Enterprise Search professional typically collaborate with other departments within an organization?

Enterprise Search professionals work closely with departments such as IT, data management, and business units to understand user needs and business objectives. They often gather requirements from stakeholders, coordinate with content owners to ensure data is properly indexed, and partner with developers to optimize search algorithms. Regular cross-functional meetings and feedback loops are common, helping to ensure the search solution delivers relevant results and supports overall organizational goals.

What is the difference between Enterprise Search vs Data Analyst?

AspectEnterprise SearchData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; knowledge of search technologiesBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentIT teams, knowledge management, enterprise software environmentsBusiness units, data teams, reporting departments
Employer & Industry UsageIT departments, software companies, large enterprisesFinance, marketing, healthcare, consulting firms
Search & Comparison IntentUnderstanding search technology roles, enterprise search solutionsAnalyzing data, generating reports, insights

While both roles involve working with data and technology, Enterprise Search specialists focus on implementing and managing search solutions within organizations, whereas Data Analysts interpret data to support business decisions. The roles often overlap in technical skills but serve different strategic functions within companies.

More about Enterprise Search jobs
What cities are hiring for Enterprise Search jobs? Cities with the most Enterprise Search job openings:
What states have the most Enterprise Search jobs? States with the most job openings for Enterprise Search jobs include:
What job categories do people searching Enterprise Search jobs look for? The top searched job categories for Enterprise Search jobs are:
Enterprise Search jobs near you
Infographic showing various Enterprise Search job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.
Senior Software Engineer, Search & Recommendations

Senior Software Engineer, Search & Recommendations

Otter.ai

Mountain View, CA • On-site

$145K - $192K/yr

Full-time

Posted 29 days ago

Job description

Job Summary:
Otter.ai is a leading tool for meeting transcription and collaboration, leveraging artificial intelligence to enhance the value of conversations. They are seeking a Senior Software Engineer to manage and optimize their enterprise search system, focusing on search and recommendations algorithms.
Responsibilities:
• Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques.
• Understand the user's information needs by developing deep learning-based NLP algorithms to analyze, reformulate and suggest search queries effectively.
• Design, implement, and deploy various ranking algorithms to deliver the most relevant results with the best user experience.
• Evaluate and optimize algorithm accuracy by focusing on key metrics.
• Constantly track and analyze end-to-end system performance, leading improvement initiatives as required.
• Stay informed about the latest industry developments and emerging technologies, aligning our search system with, or advancing it beyond, the industry benchmarks.
Qualifications:
Required:
• Holds a Masters degree in Computer Science, or a relevant field, PhD a plus.
• 5+ years of experience in search, recommendation or question answering systems.
• In-depth knowledge of relevance measurement, tuning, and modeling.
• Engineering experience with large language models and RAG systems.
• Expertise in Python and/or C++.
• Exceptional problem-solving capabilities coupled with meticulous attention to detail.
• Outstanding communication skills to explain complex concepts convincingly to non-technical team members.
• Abilities to contribute individually while functioning effectively as part of a team.
Preferred:
• Familiarity with embedding-based search systems will be considered a major advantage.
Company:
Otter.ai improves business team productivity by providing an app to capture, share, and recall all meeting notes. Founded in 2016, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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