1

Revenue Jobs in Remote, OR (NOW HIRING)

Head of AI

OR · Remote

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 ...

Sales Manager

OR · Remote

$14/hr

Key Accountabilities Commercial performance Deliver annual revenue, AOV, margin, and operating expense targets. Own sales forecasting, pipeline quality, and opportunity governance. Drive new business ...

Sales Manager

OR · On-site +1

Role Purpose Responsible for leading a high-performing sales team in the Americas to deliver revenue, annual order value, margin, and customer growth objectives for Vodafone Business International ...

Own overall commercial strategy, revenue target, and quota for assigned strategic enterprise accounts in North America. * Develop and execute multi-year account plans focused on platform expansion ...

Accounting Coordinator

Myrtle Point, OR · On-site

$20.50 - $26.50/hr

Perform daily revenue audits and reconcile hotel operating systems to the general ledger.Prepare and maintain daily deposits and cash reconciliations.Reconcile bank accounts, credit card transactions ...

Accounting Coordinator

Myrtle Point, OR · On-site

$20.50 - $26.50/hr

Perform daily revenue audits and reconcile hotel operating systems to the general ledger.Prepare and maintain daily deposits and cash reconciliations.Reconcile bank accounts, credit card transactions ...

Area Sales Manager - Central U.S.

OR · Remote

$85K - $121K/yr

Maintains current knowledge of Industry trends, revenue opportunities, sales channels, outcomes-based solutions, and competitor offerings. Create a multi-year growth strategy and account pipeline ...

Own overall commercial strategy, revenue target, and quota for assigned strategic enterprise accounts in North America. * Develop and execute multi-year account plans focused on platform expansion ...

Area Sales Manager

OR · Remote

$108K - $144K/yr

Maintains current knowledge of Industry trends, revenue opportunities, sales channels, outcomes-based solutions, and competitor offerings. Create a multi-year growth strategy and account pipeline ...

VP Direct Sales

OR · On-site +1

Position Overview The VP, Direct Sales is a senior commercial leader with full ownership of revenue performance, pipeline health, and sales execution across the Direct Sales Channel-spanning ...

Head of AI

OR · On-site +1

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 ...

Area Sales Manager

OR · Remote

$85K - $121K/yr

Maintains current knowledge of Industry trends, revenue opportunities, sales channels, outcomes-based solutions, and competitor offerings. Create a multi-year growth strategy and account pipeline ...

Showing results 21-40

Revenue information

See Remote, OR salary details

$35K

$96.4K

$166.8K

How much do revenue jobs pay per year?

As of Aug 20, 2026, the average yearly pay for revenue in Remote, OR is $96,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $107,400.00 per year, depending on experience, location, and employer.

What is a revenue manager?

Revenue managers are professionals responsible for optimizing a company's income by analyzing data, forecasting demand, and developing pricing strategies. They work primarily in industries like hospitality, airlines, and retail to ensure the business maximizes its revenue opportunities. Their tasks often include monitoring market trends, adjusting rates, and collaborating with sales and marketing teams to implement effective strategies. Revenue managers play a crucial role in helping organizations achieve financial goals and remain competitive.

What skills and qualifications are needed to thrive as a revenue manager?

To thrive as a Revenue Manager, you need strong analytical skills, financial acumen, and a background in business, finance, or hospitality, often supported by a relevant degree. Familiarity with revenue management systems (RMS), property management systems (PMS), and data analysis tools like Excel or SQL is typically required. Excellent communication, decision-making, and adaptability are standout soft skills for collaborating across departments and responding to market changes. These abilities are crucial for optimizing pricing strategies, maximizing profits, and ensuring the organization's financial success.

How does a revenue analyst typically collaborate with other departments to optimize company earnings?

A Revenue Analyst frequently works with sales, marketing, and finance teams to analyze data, forecast trends, and develop pricing strategies that maximize profitability. Collaboration often involves sharing insights from revenue reports, participating in strategic planning meetings, and advising on budget allocations or promotional campaigns. This cross-functional teamwork not only ensures alignment on business goals but also helps quickly identify and address revenue risks or opportunities. Building strong relationships with colleagues in other departments is key to effectively influencing decision-making and supporting the company's growth objectives.

What is the difference between Revenue vs Sales Associate?

AspectRevenueSales Associate
Primary RoleGenerate income for the company through various activities, including sales, marketing, and strategic partnerships.Engage with customers to sell products or services, directly contributing to sales figures.
Required CredentialsTypically no specific credentials; skills in finance, marketing, or business are common.High school diploma or equivalent; sales training often provided.
Work EnvironmentOffice, remote, or field; broader scope including marketing and finance teams.Retail stores, showrooms, or call centers; customer-facing roles.
Industry UsageUsed across all industries to measure total income generated.Commonly used in retail, real estate, and service sectors.

While Revenue refers to the total income generated by a company from all sources, a Sales Associate focuses specifically on selling products or services to customers. Revenue encompasses the overall financial performance, whereas Sales Associates contribute directly to that figure through their sales efforts.

What are the most commonly searched types of Revenue jobs in Remote, OR?

The most popular types of Revenue jobs in Remote, OR are:

What are popular job titles related to Revenue jobs in Remote, OR?

For Revenue jobs in Remote, OR, the most frequently searched job titles are:

Infographic showing various Revenue job openings in Remote, OR as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $96,437 per year, or $46.4 per hour.

Full-time

Re-posted 17 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.