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Ai Optimization Jobs in Georgia (NOW HIRING)

Summary As our Generative AI & SEO Strategist, you will lead optimization across AI-powered search experiences - including Google AI Overviews (AIO), Generative Engine Optimization (GEO), and AI ...

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

Do you thrive in crowded markets and have a knack for leveraging AI technologies to boost visibility? Nfinity is looking for a highly skilled and innovative Senior SEO Specialist to join our E ...

Do you thrive in crowded markets and have a knack for leveraging AI technologies to boost visibility? Nfinity is looking for a highly skilled and innovative Senior SEO Specialist to join our E ...

SEO Manager

Alpharetta, GA · On-site

$108K - $162K/yr

AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do ... As a SEO Manager, you will join a world-class digital marketing team on a mission to support ...

Do you thrive in crowded markets and have a knack for leveraging AI technologies to boost visibility? Nfinity is looking for a highly skilled and innovative Senior SEO Specialist to join our E ...

SEO Manager

Alpharetta, GA · On-site

$108K - $162K/yr

AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do ... As a SEO Manager, you will join a world-class digital marketing team on a mission to support ...

Working knowledge of AI search fundamentals and optimization for AI-driven discovery engines. * Bachelor's degree in Marketing, Communications, Computer Science, or a related field.

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Showing results 1-20

Ai Optimization information

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

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Georgia?

For Ai Optimization jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Ai Optimization jobs?

Cities in Georgia with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Generative AI & SEO Strategist

Smarsh

Atlanta, GA • On-site

Full-time

Posted 23 days ago


Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary

As our Generative AI & SEO Strategist, you will lead optimization across AI-powered search experiences - including Google AI Overviews (AIO), Generative Engine Optimization (GEO), and AI Index Engine Optimization (AIEO). This role is critical to ensure Smarsh remains discoverable and competitive as the search landscape transforms.

You will blend deep SEO expertise with advanced AI search strategies to maximize our visibility, protect and grow organic-driven marketing-qualified leads (MQLs), and directly influence our sales pipeline.

 
How will you contribute?
  • Protect and grow search-driven pipeline by optimizing and implementing GEO and SEO strategy.
  • Monitor and grow Smarsh's brand and product visibility across LLM-powered platforms including ChatGPT, Perplexity, Google AI Overviews, and emerging entrants using the Profound AEO platform.
  • Own and execute Smarsh's global SEO, GEO, and AI search strategy to increase organic visibility, AI citation presence, and pipeline contribution across digital channels.
  • Optimize digital experiences for both traditional search engines and AI-powered discovery platforms including ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews.
  • Lead keyword, topic cluster, and entity-based research to expand content authority and improve discoverability across traditional search and AI ecosystems.
  • Build and maintain prompt libraries across all product categories to systematically test and track citation performance.
  • Analyze citation share data to identify where we are and are not appearing, and build a prioritized action plan to close gaps.
  • Conduct AI query intent analysis and adapt content strategy to match high-intent, AI-surfaced search terms.
  • Advise on semantic HTML, schema, and entity optimization to improve AI summarization and citation rates.
  • Deliver technical SEO recommendations that improve crawlability, indexing, site architecture, structured data implementation, and Core Web Vitals performance.
  • Design and implement internal linking, on-page optimization, and content structuring strategies that improve engagement, discoverability, and search performance.
  • Regularly audit website performance for AI-readability, structured data accuracy, and zero-click search inclusion.
  • Build and monitor multi-platform search intelligence dashboards, tracking presence in AI-generated results alongside traditional rankings.
  • Build measurement frameworks that quantify AI search visibility, answer engine performance, and overall GEO effectiveness.
  • Partner with content, product marketing, demand generation, and regional marketing teams to ensure all new and existing content is optimized for SEO and AI search.
  • Conduct ongoing competitive intelligence across traditional search and AI search platforms to identify opportunities, defend market share, and improve share of voice.
  • Develop and execute structured SEO and GEO experiments to improve AI citation performance and organic visibility.
  • Establish SEO and AI optimization standards and best practices across digital content and web experiences.
  • Champion adoption of AI search best practices through cross-functional enablement and documentation.
  • Identify opportunities to automate SEO analysis, AI citation monitoring, reporting, and optimization workflows using AI technologies.
  • Partner with Revenue Marketing and Operations to connect SEO and AI initiatives to pipeline and revenue attribution.
  • Drive initiatives that strengthen content authority, trust signals, entity relationships, and E-E-A-T to improve AI and traditional search visibility.
  • Support international SEO initiatives including regional content strategies and hreflang recommendations as global expansion evolves.
  • Communicate search insights and strategic recommendations to executive stakeholders, influencing priorities that drive global digital growth.
  • Produce high-quality, data-driven reporting on AI search visibility, traffic, and conversion metrics.
What will you bring?
  • Bachelor's degree in marketing, digital strategy, or related field.
  • 5+ years of experience in B2B search engine optimization; SaaS and financial services experience preferred.
  • Proven record of driving measurable pipeline impact from organic and AI-optimized search strategies.
  • Deep understanding of Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI Index Engine Optimization (AIEO), and evolving AI-powered search behaviors.
  • Hands-on experience with enterprise SEO platforms including Profound, GA4, Google Search Console, SEMrush, Ahrefs, Screaming Frog, or equivalent technologies.
  • Strong knowledge of structured data markup (Schema.org) and entity optimization for AI discoverability.
  • Skilled in analyzing AI-generated search outputs and reverse-engineering strategies to secure placement.
  • Proficiency in HTML, CSS, and familiarity with JavaScript implementation best practices.
  • Demonstrated ability to translate complex technical findings into clear, actionable recommendations for executive and cross-functional stakeholders.
  • Proven ability to influence cross-functional teams and align web, content, product marketing, regional marketing, and development teams around a unified search strategy.
  • Highly analytical and results-driven, with the ability to tie visibility metrics directly to lead generation and revenue impact.
  • Experience with WordPress CMS and enterprise-level website optimization.
  • Self-motivated, collaborative, and able to lead cross-functional optimization initiatives.
$100,000 - $110,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting.
 
Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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