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Performance Optimization Manager Jobs in Arizona

YO AI Labs

AI Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

YO AI Labs

Backend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

YO AI Labs

AI coding agents Expert - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

Design Hire LLC

Web Developer

Scottsdale, AZ · On-site

$90 - $115/hr

Project Management: Coordinate web development project timelines, including mockup approvals, content collection, client reviews, and website launches. * SEO & Performance Optimization: Apply best ...

Design Hire LLC

Web Developer

Scottsdale, AZ

Project Management: Coordinate web development project timelines, including mockup approvals, content collection, client reviews, and website launches. * SEO & Performance Optimization: Apply best ...

TiltEdge Solutions LLC

Java Backend Developer

Phoenix, AZ · On-site

$45/hr

Payment systems, real-time transaction platforms, customer account management, reporting platforms ... In-memory computing and advanced application performance optimization * Technical leadership ...

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Performance Optimization Manager information

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.

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 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 Arizona?

The most popular types of Performance Optimization jobs in Arizona are:

What are popular job titles related to Performance Optimization Manager jobs in Arizona?

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

What job categories do people searching Performance Optimization Manager jobs in Arizona look for?

The top searched job categories for Performance Optimization Manager jobs in Arizona are:

Performance Optimization Manager jobs near you
Infographic showing various Performance Optimization Manager job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

AI Software Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 6 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.