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Performance Optimization Manager Jobs in Phoenix, AZ

Manager, Optimization

Tempe, AZ ยท Hybrid

$105K - $138K/yr

The Optimization Manager is responsible for identifying, developing, and executing strategies to improve performance, efficiency, and outcomes across key business processes or systems. This role ...

Manager, Optimization

Tempe, AZ ยท On-site

$105K - $138K/yr

The Optimization Manager is responsible for identifying, developing, and executing strategies to improve performance, efficiency, and outcomes across key business processes or systems. This role ...

Manager, Optimization

Tempe, AZ ยท Hybrid

$105K - $138K/yr

The Optimization Manager is responsible for identifying, developing, and executing strategies to improve performance, efficiency, and outcomes across key business processes or systems. This role ...

We're seeking a Principal Growth Manager - SEO/AEO to lead our strategy for driving brand ... Technical performance. Effectively partner our technical team to ensure consistently high user ...

This role sits within the MineStar Performance Center , with a key focus on optimizing the ... Leads and supports change management efforts, guiding customers and internal partners through ...

Attend client meetings (as needed) to walk through SEO performance and explain strategy in non-technical terms. * Flag technical blockers or content gaps and collaborate with project managers or ...

Partner with the VP, eCommerce and the eCommerce Optimization Manager on sales plans that meet ... Grow and develop a high-performance team of data-driven merchandisers. * Coordinate with global e ...

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Showing results 1-20

Performance Optimization Manager information

See Phoenix, AZ salary details

$39.7K

$98.8K

$152.4K

How much do performance optimization manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for performance optimization manager in Phoenix, AZ is $98,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $125,100.00 per year, depending on experience, location, and employer.

How does a performance optimization manager typically collaborate with other departments to drive improvements?

Performance Optimization Managers often work closely with cross-functional teams, including marketing, operations, product development, and IT. They gather data from various sources, analyze performance metrics, and facilitate workshops or meetings to identify bottlenecks and propose actionable solutions. Effective collaboration requires strong communication skills and the ability to translate complex analytical findings into clear recommendations that align with organizational goals. This collaborative approach ensures that optimization strategies are practical, well-supported, and have a measurable impact across the business.

What are the key skills and qualifications needed to thrive as a performance optimization manager, and why are they important?

To thrive as a Performance Optimization Manager, you need strong analytical skills, a background in business or data analysis, and experience in process improvement methodologies such as Lean or Six Sigma. Familiarity with data visualization tools (e.g., Tableau, Power BI), performance management systems, and relevant certifications in project management or process optimization are typically required. Excellent communication, leadership, and problem-solving abilities help drive change and encourage collaboration across teams. These skills are crucial for identifying inefficiencies, implementing effective solutions, and ensuring sustained business growth.

What does a performance optimization manager do?

A Performance Optimization Manager is responsible for analyzing business processes and systems to identify areas where efficiency, productivity, and overall performance can be improved. They develop and implement strategies, use data-driven insights, and collaborate with various departments to streamline operations. Their goal is to maximize the organization's effectiveness, reduce costs, and enhance results, often through process redesign, technology integration, and ongoing performance monitoring.

What is the difference between Performance Optimization Manager vs Data Analyst?

AspectPerformance Optimization ManagerData Analyst
Primary FocusImproving system, process, or product performanceAnalyzing data to identify trends and insights
Required SkillsPerformance metrics, process improvement, project managementData analysis, statistical tools, reporting
Work EnvironmentCross-functional teams, technical projectsData sets, reporting tools, business units
CertificationsPerformance management, project management (e.g., PMP)Data analysis, statistics (e.g., CAP, Google Data Analytics)

The Performance Optimization Manager focuses on enhancing system and process efficiency, often working with technical teams and managing improvement projects. In contrast, Data Analysts primarily interpret data to support decision-making. Both roles require analytical skills but differ in their core objectives and tools.

What are the most commonly searched types of Performance Optimization jobs in Phoenix, AZ?

The most popular types of Performance Optimization jobs in Phoenix, AZ are:

What are popular job titles related to Performance Optimization Manager jobs in Phoenix, AZ?

For Performance Optimization Manager jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Performance Optimization Manager jobs in Phoenix, AZ look for?

The top searched job categories for Performance Optimization Manager jobs in Phoenix, AZ are:

Performance Marketing Manager - SEO/AEO

Noble Studios

Phoenix, AZ โ€ข Remote

Full-time

Re-posted 5 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.