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Ai Optimization Jobs in Oregon (NOW HIRING)

Web Strategy, SEO & AI Lead

OR · On-site +1

$130K - $150K/yr

This role sits at the intersection of web strategy, SEO/AEO, content architecture, and growth and is responsible for ensuring Harness is discoverable across traditional search engines and AI-driven ...

Global HR Content Writer

OR · On-site +1

$106K - $133K/yr

AI Search Optimization (GEO/AIO): Structure content to maximize visibility in AI-driven search engines. This includes utilizing clear schema patterns, answering direct intent questions concisely, and ...

SEO Specialist

OR · On-site +1

Experience utilizing AI-powered tools to support SEO research, analysis, automation, or content optimization workflows. * Knowledge of LLM Optimization (LLMO), Generative Engine Optimization (GEO ...

You will own the website experience from discovery to conversion: improving conversion rates, optimizing landing pages, strengthening SEO and AI search visibility, and building AI-first workflows ...

Learn and apply AI SEO best practices, including optimizing content for AI-powered search experiences and generative search platforms, while staying current with evolving search engine algorithms.

Learn and apply AI SEO best practices, including optimizing content for AI-powered search experiences and generative search platforms, while staying current with evolving search engine algorithms.

We are hiring an Optimisation AI Scientist to own the technical delivery of Pigment's solver pilot programme and build the foundations of a production-grade optimisation capability - moving customers ...

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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 Oregon?

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

What job categories do people searching Ai Optimization jobs in Oregon look for?

The top searched job categories for Ai Optimization jobs in Oregon are:

What cities in Oregon are hiring for Ai Optimization jobs?

Cities in Oregon with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Web Strategy, SEO & AI Lead

OR • On-site, Remote

$130K - $150K/yr

Full-time

Medical

Posted 24 days ago


Job description

Position Summary

Harness is looking for a highly strategic Web Strategy & AEO/SEO Lead to own the global website experience and organic discoverability strategy for Harness.com. This role sits at the intersection of web strategy, SEO/AEO, content architecture, and growth and is responsible for ensuring Harness is discoverable across traditional search engines and AI-driven discovery surfaces (LLMs, answer engines, zero-click experiences).

You will act as the single-threaded owner of website strategy and offsite strategy: setting direction, defining standards, prioritizing initiatives, and orchestrating execution across internal partners and external vendors.

About the roleAEO & Discoverability
  • Own Harness's organic discoverability strategy across traditional search engines and AI-driven answer engines (e.g. Google AIO, ChatGPT, Perplexity, Claude).
  • Define and evolve an AEO / AEO strategy focused on entity authority, structured content, use-case clarity, and off-site citations optimized for LLM citation and summarization.
  • Partner with Product Marketing and Content to ensure product positioning, narratives, and use cases are reflected in search- and AI-readable site architecture.
  • Lead keyword strategy, content gap analysis, and competitive audits with emphasis on intent, topics, and entities over keyword volume.
  • Establish standards for technical SEO, structured data, internal linking, and content templates that scale across modules and solutions.
  • Own performance measurement across classic SEO metrics and indicators of AI discoverability (citations, visibility, zero-click exposure).
  • Manage and direct external SEO / AEO agencies or vendors, setting strategy, reviewing output, and holding them accountable to performance outcomes.
Web Strategy & Ownership
  • Own the end-to-end web strategy for Harness.com, aligning site architecture, content, and UX with business goals (pipeline, product adoption, brand).
  • Act as the primary owner of the website roadmap, balancing strategic initiatives with ongoing production needs.
  • Continuously evolve the website to reflect product launches, positioning updates, and market trends.
Conversion & Performance Optimization
  • Optimize key conversion paths across the site (product pages, solutions, resources, demos).
  • Run experiments (A/B tests, messaging iterations, layout changes) to improve engagement and conversion rates.
  • Partner with demand gen on landing pages and campaign experiences.
About you
  • 6+ years of experience in SEO in a B2B SaaS or tech environment.
  • Experience owning web and organic growth strategy through influence, prioritization, and vendor management, not just hands-on execution.
  • Proven experience owning and operating a high-traffic, high-impact website.
  • Strong hands-on SEO expertise (technical, on-page, and content)
  • Strong understanding of B2B buyer journeys and how websites support demand generation.
  • A proactive operator who sees problems, proposes solutions, and drives them to completion.
Nice to Have
  • Experience in DevOps, cloud, or developer-focused products
  • Familiarity with marketing automation, personalization, or experimentation tools
  • Experience partnering with global teams and supporting international sites
  • Basic HTML/CSS knowledge or comfort working closely with developers
Work Location
  • Remote within the U.S or Hybrid from one of our U.S offices.
What you will have at Harness
  • Competitive salary
  • Comprehensive healthcare benefits
  • Flexible Spending Account (FSA)
  • Flexible work schedule
  • Employee Assistance Program (EAP)
  • Flexible Time Off and Parental Leave
  • Monthly, quarterly, and annual social and team building events
  • Monthly internet reimbursement

The anticipated base salary range for this position is between $130,000 and $150,000 annually. Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  The compensation package for this position may also include equity, and benefits. More details about our company benefits can be found at the following link: https://www.harness.io/company/careers.