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Optimization Jobs in Maryland (NOW HIRING)

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 ...

When you join RadNet as our Workflow Optimization Specialist , you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all ...

What We Are Looking For Join a dynamic and forward-thinking organization as a Business Optimization Analyst. This high-impact role offers the opportunity to work closely with executive leadership on ...

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Optimization information

See Maryland salary details

$39

$57

$79

How much do optimization jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for optimization in Maryland is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $71.39 per hour, depending on experience, location, and employer.

What is an optimization job?

An optimization job involves analyzing and improving processes, systems, or performance to increase efficiency and effectiveness. Roles often require skills in data analysis, problem-solving, and familiarity with tools like Excel or specialized software. These jobs are common in fields such as operations, marketing, and supply chain management.

What hot tech job pays $775 000?

High-level roles in technology, such as senior software engineers, data scientists, or machine learning engineers, can reach salaries of $775,000 or more, especially with extensive experience, specialized skills, and stock options. Executive positions like CTOs or chief data officers in large companies may also earn compensation in this range.

What jobs use optimization?

Optimization is used in a variety of jobs including operations research analysts, data scientists, supply chain managers, and financial analysts. These roles involve improving processes, algorithms, or strategies to increase efficiency, reduce costs, or maximize outcomes, often utilizing tools like mathematical modeling, statistical analysis, and specialized software.

What are optimization jobs?

Optimization jobs refer to roles that focus on improving systems, processes, or products to achieve the best possible performance, efficiency, or outcomes. These positions can be found in various industries, including engineering, data science, logistics, and business operations. Professionals in optimization analyze data, identify inefficiencies, and develop solutions using mathematical models, algorithms, or process improvements. Their goal is to maximize value while minimizing costs or resource use. Common job titles in this field include Optimization Engineer, Data Optimization Analyst, and Operations Research Analyst.

What is the difference between Optimization vs Data Analyst?

AspectOptimizationData Analyst
Required CredentialsOften requires degrees in mathematics, statistics, or related fields; certifications like Google Data Studio or Six SigmaTypically requires degrees in statistics, computer science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily analytical, project-based, often in marketing, e-commerce, or manufacturingData-driven, reporting-focused, in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed by companies aiming to improve processes, efficiency, and performanceUsed by organizations to interpret data, generate reports, and support decision-making

While both roles involve data analysis, Optimization focuses on improving processes and performance through analytical techniques, whereas Data Analysts primarily interpret data and generate reports to inform business decisions.

What jobs pay 4000 a week without a degree?

In the field of optimization, high-paying roles such as freelance consultants, digital marketers, or sales managers can earn around $4,000 weekly without a formal degree, often relying on experience, skills, and certifications. These jobs typically require strong analytical abilities, proficiency with relevant tools, and a results-driven approach, with some roles offering flexible schedules and remote work options.

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

To thrive as an Optimization Specialist, you need strong analytical skills, a background in mathematics or engineering, and experience with data-driven decision-making. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages like Python or R, and relevant certifications in operations research or analytics are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills and qualities are crucial for identifying optimal solutions, improving efficiency, and delivering measurable business value.

What are some common challenges faced by professionals in optimization roles, and how can they be addressed?

Professionals in optimization roles often encounter challenges such as dealing with incomplete or noisy data, balancing multiple and sometimes conflicting objectives, and ensuring that solutions are scalable for real-world implementation. Addressing these challenges requires strong analytical skills, collaboration with domain experts, and the ability to communicate complex concepts to non-technical stakeholders. Leveraging advanced tools and staying updated with the latest optimization techniques can also enhance problem-solving capabilities and contribute to project success.
What are popular job titles related to Optimization jobs in Maryland? For Optimization jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Optimization jobs in Maryland look for? The top searched job categories for Optimization jobs in Maryland are:
Infographic showing various Optimization job openings in Maryland as of July 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $120,412 per year, or $57.9 per hour.

Agentic Commerce Optimization and Generative Engine Optimization Marketing Specialist

Perdue Farms

Salisbury, MD

$68K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Perdue Farms rating

6.3

Company rating: 6.3 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

307th of 434 rated food and drinks producers


Job description

Perdue Foods has a goal of becoming the most trusted name in premium proteins by creating products for consumers and for retail and foodservice customers around the globe while changing the way animals are raised for food. It is part of Perdue Farms, a fourth-generation, family-owned food and agricultural business deeply rooted in tradition yet with a forward-thinking mindset. We believe that success starts with our people, and our culture is built on a foundation of teamwork, integrity, and respect, where every voice matters and everyone is encouraged to contribute to our shared goals. We are dedicated to creating a supportive, inclusive environment where associates feel valued and inspired to make an impact, both within the company and in the communities we serve. From promoting growth and development to prioritizing work-life balance, we’re committed to helping our team members thrive. That's Perdue.

Summary

Shape the future of digital commerce and AI-powered product discovery. As an Agentic Commerce Optimization and Generative Engine Optimization Marketing Specialist, you will drive the execution and continuous improvement of strategies that enhance how consumers discover, engage with, and purchase our products across owned and retailer digital ecosystems. You will partner closely with cross-functional teams to optimize product content, structured data, and digital shelf performance for emerging AI-driven search platforms, conversational commerce experiences, and retailer algorithms. This role is ideal for a strategic, data-driven digital professional who thrives in a fast-paced environment and is passionate about leveraging innovation to improve discoverability, conversion, and overall digital commerce performance while supporting the Company’s mission, values, and quality standards.

The salary range for this position is $68,000 - $102,000 per year, based on experience and qualifications with annual bonus available (variable depending on performance).  

In addition to the base salary, Perdue offers a competitive benefits package, including medical/Rx, 401(k) with employer match after 1 year, critical illness, accident insurance, dental, vision, life insurance, optional group life insurance, short-term and long-term disability protection, flexible spending accounts and paid time off.  

Principal Essential Duties & Responsibilities

  • Develop and execute strategies to optimize product discoverability and conversion within AI-powered shopping assistants, conversational commerce interfaces, retailer recommendation engines, and emerging agentic commerce ecosystems.
  • Ensure product data, attributes, and content structures align with evolving retailer and AI platform requirements to maximize visibility and conversion opportunities.
  • Optimize product and brand content for generative AI search experiences, including conversational search engines, large language model (LLM) interfaces, AI shopping assistants, and answer engines.
  • Develop answer-focused content, semantic keyword strategies, structured content enhancements, FAQ optimization, metadata improvements, and AI-readable product storytelling to improve visibility and relevance in generative search environments.
  • Collaborate with the broader Digital Team to maintain accurate, complete, and optimized product content across retailer and owned digital channels.
  • Manage structured product data, knowledge graphs, taxonomy alignment, metadata, schema readiness, and enhanced content to improve AI ingestion, retailer compliance, and search discoverability.
  • Support workflow management through Salsify, Syndigo, and other PIM/DAM systems.
  • Monitor and analyze ACO/GEO performance metrics, including retailer search rankings, generative search visibility, product discoverability, conversion metrics, share-of-search, content health scores, and AI citation presence.
  • Maintain reporting dashboards to identify optimization opportunities and improve digital commerce performance.
  • Partner with the Digital Marketing Team to ensure product content adheres to retailer-specific algorithm requirements and evolving AI commerce standards.
  • Support optimization efforts across major retailer ecosystems, including Walmart, Amazon, Kroger, Target, Instacart, and emerging commerce platforms, to improve digital shelf effectiveness and shopper engagement.

Minimum Education and Experience

  • Bachelor’s degree or equivalent related work experience in Business Administration with a concentration in Marketing.
  • 0–3 years of work experience.
  • Digital marketing experience.
  • Demonstrate strong attention to detail and organization.
  • Demonstrate aptitude for critical reasoning and problem solving.
  • Demonstrate project management and organizational skills.

Preferred Education and Experience

  • Experience with retailer content optimization, retail media strategy, SEO/GEO best practices, AI-powered search platforms, analytics and reporting tools, and emerging commerce technologies.
  • Familiarity with structured data/schema markup, conversational commerce, and generative AI ecosystems.

 

Physical Requirements and Environmental Factors

  • Position is mostly sedentary but may require occasional moving to other offices or buildings.
  • May need to move light equipment or supplies from one place to another.
  • May need to access files, supplies and equipment.
  • Work activity is in an office, open-partitioned, cubicle environment.

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Perdue Farms Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


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