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Remote Capacity Manager Jobs in Remote, OR (NOW HIRING)

Atos

Head of AI

OR · Remote

Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ... Lead the delivery team for AI across NA including building and managing talent and ensuring ...

Atos

Head of AI

OR · On-site +1

Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ... Lead the delivery team for AI across NA including building and managing talent and ensuring ...

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All JobsCapacity JobsRemote Capacity Manager JobsRemote Capacity Manager Jobs in Remote, OR

Remote Capacity Manager information

See Remote, OR salary details

$40K

$68.7K

$130.9K

How much do remote capacity manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote capacity manager in Remote, OR is $68,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $86,900.00 per year, depending on experience, location, and employer.

What is a remote capacity manager?

A Remote Capacity Manager is a professional responsible for overseeing and optimizing the resources, workload, and operational capacity of a company or department, all while working remotely. Their main tasks include analyzing current resource usage, forecasting future needs, and ensuring the organization has the right amount of staff, equipment, or infrastructure to meet demand. By working remotely, they use digital tools and communication platforms to monitor performance, collaborate with teams, and implement capacity planning strategies. This role is essential in industries that experience fluctuating workloads or require scalable operations, such as IT, customer service, or logistics.

What are the key skills and qualifications needed to thrive as a remote capacity manager?

To thrive as a Remote Capacity Manager, you need strong analytical skills, experience in resource planning, and typically a background in business, operations, or supply chain management. Familiarity with capacity planning tools (such as SAP APO or Microsoft Excel), workforce management software, and data visualization platforms is commonly required. Exceptional communication, problem-solving, and organizational skills help you effectively coordinate teams and adapt to changing business needs. These skills ensure optimal resource allocation, minimize bottlenecks, and support the efficiency and scalability of remote operations.

How does a remote capacity manager typically collaborate with cross-functional teams to optimize resource allocation?

As a Remote Capacity Manager, you will regularly coordinate with departments such as operations, project management, and HR to assess current workloads and forecast future resource needs. Communication is often facilitated through virtual meetings, shared dashboards, and project management tools. Success in this role depends on your ability to build strong relationships remotely, interpret data trends, and provide actionable recommendations to balance team capacity against project demands. Being proactive and adaptable is key to managing shifting priorities and ensuring business objectives are met efficiently.

What is the difference between Remote Capacity Manager vs Remote Operations Coordinator?

AspectRemote Capacity ManagerRemote Operations Coordinator
CredentialsTypically requires project management or capacity planning certificationsOften requires operational or administrative certifications
Work EnvironmentFocuses on capacity planning, resource allocation, and workload managementHandles daily operational tasks, scheduling, and communication
Employer & Industry UsageUsed in IT, tech, and large-scale service industriesCommon in customer service, logistics, and support sectors

The Remote Capacity Manager primarily focuses on strategic resource planning and capacity optimization, ensuring teams are adequately staffed and workloads balanced. In contrast, the Remote Operations Coordinator manages daily operational activities, coordinating tasks and communication to support business functions. Both roles are vital in remote work environments but serve different strategic and operational purposes.

What cities near Remote, OR are hiring for Remote Capacity Manager jobs?

Cities near Remote, OR with the most Remote Capacity Manager job openings:

Remote Capacity Manager jobs near you
Infographic showing various Remote Capacity Manager job openings in Remote, OR as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 43% Physical, 3% Hybrid, and 54% Remote job distribution, with an average salary of $68,651 per year, or $33 per hour.

Head of AI

OR • Remote

Atos
See more jobs at Atosexternal

Full-time

Re-posted 11 days ago

Job description

About Atos Group

Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. 10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

  Position : Head of Artificial Intelligence Role Summary

The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.

Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)
Key Responsibilities        Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team
       Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.
       Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.
       Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.
       Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.
       Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.
       Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications

  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.
Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.
Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations
Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling
Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.
Equal Opportunity

The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 


Choose your future. Choose Atos.

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