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Ai Automation Engineer Jobs in Remote, OR (NOW HIRING)

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

AI & Automation - Demonstrated experience building AI agents or workflows using Claude, ChatGPT, or other LLM platforms, including prompt engineering, agent design, and integrating LLMs into business ...

SR LEAD INFORMATION SECURITY ENGINEER

OR · On-site

$107K - $147K/yr

The Role Black Lotus Labs has an opening for a Senior Lead Security Engineer that will leverage ... Develop repeatable workflows that combine analyst expertise, automation, and AI-assisted ...

New

Data Engineer

OR · On-site

$35 - $40/hr

Contract - 17 months We are seeking a Data Engineer to join our Supply Chain Data & AI organization ... Python for data engineering, scripting, and automation. * Understanding of data quality, metadata ...

As the company advances AI-ready connectivity and digital infrastructure for customers around the ... Develop and maintain automation scripts for data migration, payload generation, fallout handling ...

Senior Lead DevOps Engineer

OR · Remote

$121K - $156K/yr

... AI-ready connectivity. The Senior Lead DevOps Engineer will play a critical role in bringing strategic vision to life by building the platforms, processes, and automation capabilities that enable ...

The ideal candidate will bring deep expertise in modern software development, AI-assisted engineering workflows, developer tooling, automation, APIs, cloud platforms, and enterprise engineering ...

Senior Lead IT Engineer, Flexera One

OR · On-site +1

$132K - $176K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Evaluate and implement automation opportunities to improve operational efficiency and system ...

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

Coordinate cross-functional support across other engineers and technical resources using AEP and ... Experience with AI/ML models in marketing use cases. * Knowledge of marketing automation platforms ...

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Promote a culture of innovation, automation, and continuous learning. * Mentor junior engineers and ...

Software Developer

OR · On-site +1

Software Developer Location: Remote Job Summary Sapiens is on the lookout for a Software Developer ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

Automation & Platform Enablement Partner with engineering teams to automate cost controls, budget ... AI/ML platform architecture and cost optimization. Business Acumen Financial modeling and ...

Software Developer Location: Remote Job Summary Sapiens is on the lookout for a Software Developer ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

New

Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

Showing results 21-40

Ai Automation Engineer information

See Remote, OR salary details

$37K

$107K

$162.8K

How much do ai automation engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai automation engineer in Remote, OR is $107,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What job categories do people searching Ai Automation Engineer jobs in Remote, OR look for? The top searched job categories for Ai Automation Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Ai Automation Engineer jobs? Cities near Remote, OR with the most Ai Automation Engineer job openings:
Infographic showing various Ai Automation Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $107,021 per year, or $51.5 per hour.

Revenue Operations Lead - 100% Remote

Textexpander, Inc.

OR • On-site, Remote

$140K - $170K/yr

Full-time

Life, Retirement, PTO

Re-posted 2 days ago


Job description

TextExpander is hiring a Revenue Operations Lead to own and build the systems that power our revenue engine. This is a hands-on builder's role for someone equally fluent in RevOps fundamentals - HubSpot architecture, outbound motion, pipeline reporting, and sales compensation - and in the emerging discipline of AI-assisted operations.
You'll own our Hubspot instance from the ground up, design and deploy AI agents that automate the manual work across our go-to-market motion, and partner with leadership across Sales, Marketing, CS, and Finance to turn data into decisions. If you like designing infrastructure as much as running it, this role offers a rare combination: full ownership of the systems and a small, fast team that ships.
Responsibilities
  • HubSpot Ownership - Serve as the primary admin and architect of our HubSpot instance, including CRM configuration, lifecycle stages, pipelines, properties, workflows, reporting, and integrations across Sales Hub and Marketing Hub.
  • AI Agent Development - Design, build, and deploy AI agents and assistants (using Claude, Claude Code, or comparable platforms like RelevanceAI) to automate research, enrichment, lead qualification, CS workflows, and internal GTM tasks.
  • Outbound Engine - Build and continuously optimize TextExpander's outbound motion end-to-end, including tech stack selection (sequencer, enrichment, intent data), ICP and target list creation, sequence design, deliverability, and performance measurement.
  • Workflow Automation - Build and maintain advanced automations connecting HubSpot to the broader tech stack via Zapier, n8n, or native integrations, including third-party tools and middleware.
  • Data & Reporting - Build dashboards and analytics in HubSpot (and adjacent tools like Sheets, Looker, or Tableau) to track pipeline, conversion, retention, and forecasting KPIs, and deliver clear insights to the VP of Sales and the broader leadership team.
  • Tech Stack Management - Evaluate, implement, and manage the RevOps tech stack, owning vendor relationships, integrations, and data hygiene across systems.
  • Sales Compensation - Design and administer sales compensation plans, including quota setting, and build reporting to track attainment, payout accuracy, and plan effectiveness.
  • Cross-Functional Partnership - Partner directly with Sales, Marketing, CS, and Finance leadership to align operations with revenue goals and drive data-informed decisions.

Minimum Qualifications
  • Experience - 5+ years of Sales/Revenue Operations experience in B2B SaaS.
  • HubSpot Expertise - Deep, hands-on HubSpot administration experience; certification strongly preferred. You should be able to architect a HubSpot instance from scratch, not just maintain one.
  • AI & Automation - Demonstrated experience building AI agents or workflows using Claude, ChatGPT, or other LLM platforms, including prompt engineering, agent design, and integrating LLMs into business workflows.
  • Integration Tooling - Proficiency with Zapier and comfort with at least one of: n8n, Make, Workato, or similar third-party middleware.
  • Analytical Skills - Strong proficiency in data analysis and visualization.
  • Communication - Exceptional written and verbal communication skills, critical for a fully remote role. Ability to translate technical systems into plain language for non-technical stakeholders.
Why TextExpander
TextExpander is an established SaaS company with a long track record and a loyal customer base. We're a lean, fully remote team of around 50 people in the middle of an ambitious chapter: evolving from our text-expansion roots into an AI-powered workflow control and security platform.
That evolution is exactly why this role exists. We're not bolting AI onto our operations as an afterthought; we're rethinking how a modern revenue team works, and you'll be at the center of it. You'll have the autonomy to design systems from scratch, enough proximity to leadership to see your work shape real decisions, and a team small enough that what you build genuinely matters.
Benefits:
  • High level of autonomy in your role
  • Motivated and creative teammates
  • Flexible schedule
  • Employment benefits:
    • Healthcare reimbursement plan (ICHRA) - choose your own coverage, reimbursed by us
    • Paid vacation and sick leave
    • Company-paid Short- and Long-Term Disability Insurance
    • Company-paid basic life insurance
    • Paid Parental Leave Policy
    • 401(k) plan
  • Salary based on experience and location; $140,000-$170,000
The Fine Print:
TextExpander provides equal employment opportunities (EEO) to all employees and applicants for employment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.