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Ai Optimization Jobs (NOW HIRING)

KPI Solutions

AI Product Manager

Sharonville, OH

Define and own the AI optimization strategy and roadmap for WES, aligning with corporate goals and customer outcomes. * Lead development of advanced optimization features such as predictive ...

KPI Solutions

AI Product Manager

Sharonville, OH · On-site +1

Define and own the AI optimization strategy and roadmap for WES, aligning with corporate goals and customer outcomes. * Lead development of advanced optimization features such as predictive ...

OSI Engineering, Inc.

SEO Program Manager

Cupertino, CA · On-site

$77 - $92/hr

... AI optimization initiatives by implementing semantic optimizations within assigned scope. • Contribute to testing plans and experiments designed to improve content performance. Minimum ...

Bluefish AI

Customer AI Analyst

New York, NY · On-site +1

Account Setup & Optimization - Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.

Keurig Dr Pepper

Digital Shelf SEO & GEO Manager

Frisco, TX · On-site

$96K - $140K/yr

Establish, build, and scale AI-enabled workflows to analyze category and competitor content, automate optimization, and drive continuous improvement. * Own cross-functional alignment across Marketing ...

PulteGroup, Inc.

SEO Manager

Atlanta, GA · On-site

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 ...

Bluefish AI

Customer AI Analyst

New York, NY · Remote

Account Setup & Optimization - Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.

Pulte Group

SEO Manager

Atlanta, GA · On-site

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 ...

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How much do ai optimization jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, accuracy, and efficiency of artificial intelligence models. AI optimization specialists often work with machine learning techniques, tuning parameters, and using tools like TensorFlow or PyTorch to enhance model outcomes and operational effectiveness.

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.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems beyond AI's current capabilities. These jobs require advanced skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools enhance job security in these fields.

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What are some 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.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry average due to their specialized skills and demand in sectors like technology, finance, and healthcare.
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Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
Senior Product Manager - Database AI Optimization

Senior Product Manager - Database AI Optimization

Datadog

New York, NY • Hybrid

$138K - $182K/yr

Other

Posted yesterday

Job description

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. 

We're looking for an experienced product manager passionate about joining this mission to lead this product opportunity. 

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do: 

  • Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products.
  • Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc
  • Define, build and launch the next generation of database monitoring and optimization capabilities for our customers 
  • Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team's creativity, alongside your customers' problems, as a key resource.
  • Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across them, and help customers identify incidents root cause and navigate through telemetry faster
  • Partner with marketing and cross functional teams including sales, customer success and support teams, to define Go-To-Market plans and strategy for database monitoring, data observability and APM features
  • Continuously evolve the product practice and the product itself with the latest technologies, including AI tools and agents

Who You Are: 

  • You're comfortable using AI tools for research and building
  • You have experience building AI products and evals including manual evaluations, golden data sets, LLM as judge, to measure and improve AI product quality
  • You have 5+ years of experience as a Product Manager in cloud or developer tools, ideally including intimate experience with databases 
  • You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
  • You are customer focused with high quality standards for your products
  • You are passionate to work in a high growth and impact environment to build new products and scaling existing ones

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your experience, we encourage you to apply. 

Benefits & Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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