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Remote Ai Robotics Jobs in Oregon (NOW HIRING)

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

... robotics technology that keeps America's most critical production lines running flawlessly ... If you want to do meaningful work at the intersection of AI and advanced manufacturing, we'd love ...

Senior Industrial Controls Engineer

OR · On-site +1

$149K - $204K/yr

... Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Project Planner

OR · On-site +1

$87K - $119K/yr

... Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

... Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Compliance Analyst

OR · On-site +1

... Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

VP CDE - TTHL

OR · On-site +1

$138K - $177K/yr

... in robotic automation, conversational AI techniques with a range of AI-ML enhanced products and ... Our offerings deliver on this whether they are Sutherland Anywhere, enabling a secure remote work ...

We are a mid-sized company with an outsized impact, leading the transition to Physical AI. To usher ... D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate ...

... and robots love. It is built for today's hybrid teams, where AI agents write and test code and ... Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed ...

Showing results 21-31

Remote Ai Robotics information

What is a remote AI robotics?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What are the key skills and qualifications needed to thrive as a remote AI robotics engineer?

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

What are popular job titles related to Remote Ai Robotics jobs in Oregon?

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

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

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

Infographic showing various Remote Ai Robotics job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 13% Temporary, and 12% Contract. Highlights an 100% Remote job distribution.

Incentive Compensation Systems Manager | United States | Remote

Grafana Labs

OR • On-site, Remote

Full-time

PTO

Posted 3 days ago

New


Job description

The Opportunity:

We are looking for an Incentive Compensation Systems Manager to join our Incentive Compensation (IC) team and drive the systemization, automation, and continuous improvement of our commission operations. This is a high-impact, individual contributor role with end-to-end ownership, reporting to the Senior Manager, Incentive Compensation. To be successful, you should look forward to operating in an unstructured, fast-paced, remote-first environment where you will identify gaps in existing processes, replace manual workarounds with scalable systems, and bring greater predictability, accuracy, and speed to how the business manages commissions, quotas, and comp plan administration.

In this role, you will gain deep exposure to how incentive compensation data flows end-to-end from our CRM (e.g., SFDC), People systems (e.g., Workday) through calculation engines (e.g., Xactly) to payout and reporting (e.g., BigQuery). You'll be the person the team turns to when a process is slow, fragile, or held together by spreadsheets. You will partner closely with our Incentive Compensation Operations Team, Finance & Strategy, People Ops, and RevOps orgs to understand how work actually gets done today, find the friction points, and build the tooling and workflows that remove them. This role requires a unique balance: enough technical depth to design and build real automation, combined with the process discipline and cross-functional judgment to know which problems are worth solving first.

What You'll Be Doing:

  • Process & Gap Assessment: Embed with the IC team to map current-state workflows across plan administration, calculation, approvals, and payout. Identify manual, repetitive, or error-prone steps and prioritize them based on risk, time cost, and business impact.
  • Systematization & Automation: Design and build automated workflows, integrations, and tooling that replace manual processes from data pulls and reconciliations to approval routing and exception handling. Reduce reliance on ad-hoc spreadsheets and one-off scripts in favor of durable, repeatable systems.
  • Xactly ICM Ownership: Serve as a hands-on owner of our Xactly instances (e.g., Incent and Connect) configuring calculation rules, plan logic, and workflows, and continuously tuning the platform so it does more of the heavy lifting currently done manually outside the system.
  • AI-Enabled Process Automation: Identify where AI tools and LLM-driven agents can take over manual, repetitive Incentive Compensation work such as exception detection, data reconciliation, plan document review, or answering common comp questions and build the workflows/integrations to put them into production.
  • Systems Integration: Partner with IC, Finance & Strategy, People Ops, Revenue Operations, and IT/Data teams to ensure incentive compensation systems are properly integrated, with clean, reliable data flowing between them.
  • Documentation & Governance: Establish clear documentation, standard operating procedures, and controls for newly systematized processes, so they're auditable, maintainable, and don't regress back into manual work over time.
  • Continuous Improvement Cadence: Set up a repeatable process for the IC team to keep identifying and retiring manual work, as an ongoing discipline of finding the next bottleneck and fixing it.
  • Cross-Functional Enablement: Act as the go-to resource translating IC process needs into system requirements, and translating system/data constraints back into practical process recommendations the team can act on.
  • Operational Excellence: Support urgent, ad-hoc requests during payout cycles while keeping an eye on the long-term goal. Building yourself out of the fire-fighting role by systemizing the fixes.

What Makes You a Great Fit:

  • Professional Experience: 5+ years of experience in incentive compensation, sales operations, revenue operations, or a related systems/process improvement role. Experience in a fast-paced technology or SaaS business is highly preferred.
  • Process Improvement Mindset: A demonstrated track record of finding manual, broken, or inefficient processes and systematizing them, not just documenting problems but building the solution.
  • SQL & Data Fluency: Hands-on SQL experience and comfort querying and reconciling data across systems to diagnose process gaps and validate automated outputs.
  • Automation & Tooling: Hands-on experience building automated workflows using tools such as scripting, workflow/RPA platforms, or ICM systems (e.g., Xactly, CaptivateIQ, Varicent, SPIFF platforms). Comfort standing up lightweight tools or integrations when off-the-shelf options fall short.
  • Systems Fluency: Familiarity with the core systems that touch incentive compensation: CRM (e.g., Salesforce), HRIS, data warehouses (e.g., BigQuery), and comp management platforms (e.g., Xactly) understanding how data moves between them.
  • Cross-Functional Communication: Strong communication skills, with the ability to sit with a team, understand how they actually work day-to-day, and translate that into clear systems requirements and process changes.
  • Analytical Rigor: Understanding of core comp mechanics (quotas, accelerators, SPIFFs, payout timing) sufficient to spot where a process breaks down or introduces risk.

Bonus Points For:

  • Industry & Scale Context: Experience working in a high-growth SaaS, cloud, or open-source company, particularly within a public company or an environment undergoing IPO readiness.
  • Global Collaboration: Proven success working within globally distributed, remote-first organizations across multiple time zones.
  • AI & LLM-Driven Automation: Experience documenting datasets and workflows for Model Context Protocol (MCP) server ingestion, or building AI skills/agents to automate incentive compensation data discovery, exception detection, or reporting.
Compensation and Rewards:

In the United States, the base compensation range for this role is $144,000 - $173,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes-RSUs help us stay aligned and invested as we scale globally.

#LI-Remote

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process.

Why You'll Thrive at Grafana Labs:

  • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization - Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication - Expect open decision-making and regular company-wide updates.
  • Innovation-Driven - Autonomy and support to ship great work and try new things.
  • Open Source Roots - Built on community-driven values that shape how we work.
  • Empowered Teams - High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways - Defined opportunities to grow and develop your career.
  • Approachable Leadership - Transparent execs who are involved, visible, and human.
  • Passionate People - Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. 
  • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.