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Search Engineer Jobs in Arizona (NOW HIRING)

Exceptional cross-functional executor capable of driving engineering and content pipelines to ... Social Search experience (optimizing for discovery on YouTube, TikTok, Instagram). * Experience ...

Sr. Advanced AI Software Engineer

Tempe, AZ

$117K - $154K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Sr. Advanced AI Software Engineer

Phoenix, AZ ยท On-site

$121K - $159K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Sr. Advanced AI Software Engineer

Mesa, AZ

$121K - $160K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Sr. Advanced AI Software Engineer

Laveen, AZ

$115K - $152K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Sr. Advanced AI Software Engineer

Laveen, AZ

$116K - $153K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

Sr. Advanced AI Software Engineer

Tempe, AZ

$119K - $157K/yr

Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional ...

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Search Engineer information

See Arizona salary details

$53

$66

$86

How much do search engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for search engineer in Arizona is $66.16, according to ZipRecruiter salary data. Most workers in this role earn between $57.12 and $76.15 per hour, depending on experience, location, and employer.

How does a search engineer typically collaborate with other teams to improve search functionality?

Search Engineers often work closely with product managers, data scientists, and UX designers to understand user needs and analyze search performance. They collaborate with data engineering teams to ensure high-quality and well-structured data feeds, and frequently participate in cross-functional meetings to align on feature priorities and technical requirements. Effective communication skills are essential, as Search Engineers must translate complex technical concepts into actionable insights for non-technical stakeholders, ensuring that improvements enhance both search accuracy and overall user experience.

What is the difference between Search Engineer vs Data Scientist?

AspectSearch EngineerData Scientist
Required CredentialsBachelor's in CS, EE, or related; experience in search algorithmsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, search engine teams, e-commerce platformsResearch labs, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in search technology, e-commerce, and online servicesAcross industries like tech, finance, healthcare, and research

Search Engineers focus on developing and optimizing search algorithms and systems, while Data Scientists analyze data to extract insights and inform decisions. Both roles require strong technical skills, but Search Engineers are more specialized in search technology development, whereas Data Scientists work broadly with data analysis and modeling.

What are the key skills and qualifications needed to thrive as a search engineer, and why are they important?

To thrive as a Search Engineer, you need a solid background in computer science, expertise in information retrieval, and strong programming skills, often supported by a relevant degree. Familiarity with search platforms like Elasticsearch or Solr, experience with large-scale distributed systems, and knowledge of ranking algorithms are typically required. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills are crucial for building efficient, relevant search experiences that meet both user and business needs.

What is a search engineer?

Search Engineers are specialized software engineers who design, build, and improve search systems that help users find relevant information quickly and efficiently. Their work often involves developing algorithms for indexing, querying, and ranking large volumes of data, as well as optimizing search accuracy and speed. Search Engineers may also work with natural language processing, machine learning, and relevance tuning to enhance the user search experience on websites, apps, or internal databases.

What does a search engineer do?

A search engineer has two primary responsibilities: to develop and program search engines and to optimize web content to achieve the best possible rankings in search results. As a search engineer, your job duties depend on your employer. If you work for a search engine company, like Google or Bing, then your job is to create the web application and algorithms that index websites and web pages to aggregate and rank search results. If you work for an e-commerce website or another business reliant on products or services, then your focus is on website analysis, keyword research, and content marketing.

What are popular job titles related to Search Engineer jobs in Arizona? For Search Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Search Engineer jobs in Arizona look for? The top searched job categories for Search Engineer jobs in Arizona are:
What cities in Arizona are hiring for Search Engineer jobs? Cities in Arizona with the most Search Engineer job openings:
Infographic showing various Search Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $137,608 per year, or $66.2 per hour.

Performance Marketing Manager - SEO/AEO

Noble Studios

Phoenix, AZ โ€ข Remote

Full-time

Re-posted 26 days ago


Job description

Our SEO/AEO specialist (called Performance Marketing Manager) plays a key role in executing and optimizing organic strategies that improve search visibility, answer engine presence and measurable client outcomes. This mid-level role partners with strategists, designers, developers, copywriters and clients to translate business goals into clear SEO/AEO recommendations.

Noble is looking for a highly authentic and collaborative contributor who takes immense pride in delivering polished, high-quality work aligned with overarching client strategies. Combining analytical rigor with proactive curiosity, they excel at spotting patterns, identifying hidden opportunities, and raising the sharp questions that keep teams ahead of the curve. They seamlessly translate technical complexity into clear, actionable advice that builds lasting trust-proving they can easily juggle multiple priorities while making everyone look good.

CORE RESPONSIBILITIES:Search & AI Strategy Executionย 
  • Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations.
  • Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward.
  • Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans.
Content
  • Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms.
  • Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions.
  • Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility.
Technical
  • Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup.
  • Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk.
  • Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent.
Data Analysis
  • Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next.
OUR IDEAL CANDIDATE:
  • Operates with consistency, curiosity and care, taking pride in well-constructed and high-quality work.
  • Brings a detail-driven mindset to every deliverable, showing rigor, polish and a clear understanding of how the work ladders up to client goals and the larger strategy.
  • Spots patterns, red flags, performance shifts and hidden opportunities early, asking sharp questions to help the team make better decisions.
  • Connects the why to the now by translating technical depth and precision into clear, actionable recommendations that build trust with clients and internal teams.
  • Stays prepared, engaged and accountable while managing multiple priorities and contributing to a stronger quality baseline for the team.
REQUIRED EXPERIENCE & SKILLS:
  • 3+years of digital marketing experience with a primary focus on SEO; agency or multi-client experience preferred.
  • Bachelor's degree in a related field or equivalent experience considered.
  • Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority.
  • Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines.
  • Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients.
  • Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data.
  • Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps.
  • Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms.
  • Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup.
  • Detail-driven, consistent, curious and prepared; someone who takes pride in accurate work, surfaces risks early and helps the team produce stronger outcomes.
  • Ability to manage multiple assignments and deadlines while staying organized, collaborative and accountable.