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Performance Optimization Manager Jobs in Indiana

Operates with a high degree of independence while aligning closely with senior management and cross-functional partners to support strategic planning, internal performance optimization, and data ...

Operates with a high degree of independence while aligning closely with senior management and cross-functional partners to support strategic planning, internal performance optimization, and data ...

Operates with a high degree of independence while aligning closely with senior management and cross-functional partners to support strategic planning, internal performance optimization, and data ...

... optimization in complex operational environments. Supports exercises in the Greater Indiana Area ... Support system integration and configuration management activities. Monitor system performance and ...

... manage content and insights, and support key brand initiatives, building and maintaining brand ... performance optimization planning, and analyzes and summarizes brand and industry research to ...

... manage content and insights, and support key brand initiatives, building and maintaining brand ... performance optimization planning, and analyzes and summarizes brand and industry research to ...

... manage content and insights, and support key brand initiatives, building and maintaining brand ... performance optimization planning, and analyzes and summarizes brand and industry research to ...

Showing results 21-40

Performance Optimization Manager information

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 Indiana? The most popular types of Performance Optimization jobs in Indiana are:
What are popular job titles related to Performance Optimization Manager jobs in Indiana? For Performance Optimization Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Performance Optimization Manager jobs in Indiana look for? The top searched job categories for Performance Optimization Manager jobs in Indiana are:
What cities in Indiana are hiring for Performance Optimization Manager jobs? Cities in Indiana with the most Performance Optimization Manager job openings:

Sr. Global SEO/GEO Strategist

Genesys

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

Be the one building AI-powered experiences where they matter most.
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.
Role Overview:
Own the global strategy that drives how Genesys is discovered across search engines and AI powered answer platforms, shaping how millions of users find and engage with our digital experiences. This role directly influences pipeline growth, brand authority, and customer acquisition by elevating visibility across traditional search and emerging AI ecosystems. At Genesys, we are redefining how organizations connect with customers through AI driven experiences, and this position plays a central role in ensuring our content is surfaced, cited, and trusted across evolving discovery channels. You will operate at the intersection of technical SEO, content strategy, and AI search innovation, partnering with global stakeholders to influence how Genesys shows up in both search results and AI generated answers. This is a high visibility role with direct impact on digital growth strategy, offering the opportunity to shape enterprise scale search programs and expand expertise in next generation discovery platforms.
Key Responsibilities:
  • Own and execute a global SEO and GEO strategy that increases organic visibility, AI citation presence, and pipeline contribution across digital channels
  • Drive optimization of digital experiences for both traditional search engines and AI powered platforms such as ChatGPT, Gemini, Perplexity, and Copilot
  • Lead keyword, topic cluster, and entity based research to expand content authority and improve discoverability across search and AI ecosystems
  • Influence cross functional teams to align on search strategy, ensuring consistent execution across web, content, product marketing, and regional stakeholders
  • Deliver technical SEO recommendations that improve crawlability, indexing, site architecture, structured data, and Core Web Vitals performance
  • Design and implement internal linking, on page optimization, and content structuring strategies that improve engagement and search rankings
  • Build measurement frameworks that quantify AI search visibility, answer engine performance, and overall GEO effectiveness
  • Analyze performance data across platforms such as Google Analytics 4, Search Console, SEMrush, and Ahrefs to identify growth opportunities and optimize strategy
  • Partner with content and campaign teams to create search optimized, AI friendly content that supports the full customer journey
  • Communicate insights and strategic recommendations to executive stakeholders, influencing decisions that impact global digital growth

Required Qualifications:
  • 5 or more years of experience in SEO, digital marketing, or content strategy, preferably within a SaaS or technology environment
  • Deep expertise in technical SEO, on page optimization, content strategy, and search performance measurement
  • Strong understanding of Generative Engine Optimization and AI driven search platforms and behaviors
  • Hands on experience with enterprise SEO tools such as Google Analytics 4, Search Console, SEMrush, Ahrefs, or similar platforms
  • Working knowledge of HTML, CSS, website architecture, and technical SEO best practices
  • Proven ability to translate complex data into actionable insights that drive measurable business outcomes
  • Demonstrated experience influencing cross functional stakeholders and aligning global teams on strategy
  • Strong analytical, communication, and presentation skills with executive level exposure

Preferred Qualifications:
  • Experience developing strategies for AI search visibility, including citation tracking and answer engine optimization
  • Background in enterprise scale website management or global digital marketing programs
  • Familiarity with tools such as Screaming Frog, Conductor, or Scalenut
  • Experience mentoring team members or acting as a subject matter expert in SEO or digital discoverability

Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$108,700.00 - $191,100.00
Benefits:
  • Medical, Dental, and Vision Insurance.
  • Telehealth coverage
  • Flexible work schedules and work from home opportunities
  • Development and career growth opportunities
  • Open Time Off in addition to 10 paid holidays
  • 401(k) matching program
  • Adoption Assistance
  • Fertility treatments

Click here to view a summary overview of our Benefits.
Working at Genesys
  • AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
  • A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
  • Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.
  • Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
  • Recognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
After you apply, here's what you can typically expect:
  • Our Talent Acquisition team reviews your application with the hiring team.
  • A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
  • Next, you'll meet the hiring manager and other members of the interview team.
  • We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
  • After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.
Be the one building what's next - where AI, experience and impact come together.
Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.