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Remote Revenue Operations Jobs in Remote, OR (NOW HIRING)

Head of AI

OR ยท On-site +1

... and operations * * Help support the Head of Data and AI P&L: revenue, gross margin, utilization ... Remote or hybrid within North America; may require proximity to major client hubs. * Travel ...

Lead, Product Manager - Platform Services

OR ยท On-site +1

$125K - $165K/yr

... operational efficiency. The platform portfolio includes shared commerce services such as APIs ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

... driving revenue, profitability, and long-term partnerships that matter. You'll be the primary ... Please note that this is a remote opportunity and candidates may be based in any of the 49 ...

... driving revenue, profitability, and long-term partnerships that matter. You'll be the primary ... Please note that this is a remote opportunity and candidates may be based in any of the 49 ...

Area Sales Manager

OR ยท Remote

$88K - $144K/yr

... Operations, Specialists and other support functions, as well as end-users and customers. The ideal ... sales tactics to meet revenue objectives * Generate leads, and build and nurture client ...

Area Sales Manager

OR ยท On-site +1

$88K - $144K/yr

... sales tactics to meet revenue objectives * Generate leads, and build and nurture client ... Communicate throughout the organization - sales, marketing and operations as necessary to support ...

Sr. Key Account Manager (SUITX)

OR ยท Remote

$65K - $80K/yr

... ergonomic and operational impact. Duties & Responsibilities This is a consultative, solution ... Develop and execute a territory strategy to drive revenue growth and market penetration. * Identify ...

You will drive revenue growth through strategic account planning, execution, and pipeline ... This full-time, exempt role offers a remote work setting, with up to 50% domestic travel. Your ...

Sr. Key Account Manager (SUITX)

OR ยท On-site +1

$65K - $80K/yr

... ergonomic and operational impact. Duties & Responsibilities This is a consultative, solution ... Develop and execute a territory strategy to drive revenue growth and market penetration. * Identify ...

... revenue in 2025, we are looking for someone like you to join our team as we continue to shape a ... Coordinate cross-functionally with Segment leader, Technical & Quality teams, Operations supply ...

... revenue in 2025, we are looking for someone like you to join our team as we continue to shape a ... Coordinate cross-functionally with Segment leader, Technical & Quality teams, Operations supply ...

Sr Key Account Manager

OR ยท Remote

$132K - $181K/yr

Own a defined sales territory with full accountability for volume, revenue, and profit targets ... Facilitate resolution of supply, delivery, or operational challenges that impact customers ...

Senior Project Manager

OR ยท On-site +1

... operational and business strategies. The Senior Project Manager must plan, execute, deliver ... Remote: North America (US / Canada) What You'll Do: * Create and execute project work plans in ...

Showing results 21-40

Remote Revenue Operations information

See Remote, OR salary details

$35K

$96.4K

$166.8K

How much do remote revenue operations jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote revenue operations 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 remote revenue operations?

Remote Revenue Operations (RevOps) refers to the strategic alignment of sales, marketing, and customer success processes and tools to drive revenue growth, all managed by professionals who work remotely. RevOps teams focus on streamlining operations, improving data visibility, and ensuring that different departments work together smoothly, regardless of physical location. By implementing consistent processes and leveraging technology, Remote RevOps helps organizations maximize efficiency and achieve revenue goals without the need for on-site presence.

What is the difference between Remote Revenue Operations vs Remote Sales Operations?

AspectRemote Revenue OperationsRemote Sales Operations
Primary FocusAligning sales, marketing, and customer success to optimize revenueSupporting sales team activities, processes, and tools
Skills & CertificationsData analysis, CRM management, revenue strategySales process knowledge, CRM proficiency, sales enablement
Work EnvironmentCross-department collaboration, strategic planningSales team support, pipeline management
Industry UsageUsed across SaaS, tech, and enterprise sectorsPrimarily in sales-driven organizations

Remote Revenue Operations focuses on aligning multiple departments to maximize revenue, while Remote Sales Operations concentrates on supporting the sales team and processes. Both roles require CRM expertise and are common in tech and SaaS industries, but Revenue Operations has a broader strategic scope.

How does a remote revenue operations professional typically collaborate with sales, marketing, and customer success teams?

Remote Revenue Operations professionals play a critical role in aligning sales, marketing, and customer success teams by managing data, streamlining processes, and ensuring consistent communication across departments. They often use tools like CRM systems, dashboards, and project management platforms to facilitate visibility and information sharing, despite being remote. Regular virtual meetings, cross-functional project work, and shared documentation are key aspects of their collaboration, helping to drive unified strategies and optimize revenue growth.

What are the key skills and qualifications needed to thrive as a remote revenue operations professional?

To thrive as a Remote Revenue Operations professional, you need expertise in data analysis, process optimization, and a strong understanding of sales, marketing, and customer success functions, typically supported by a relevant degree or experience. Familiarity with CRM platforms (like Salesforce), reporting tools (such as Tableau), and automation systems is commonly required, along with certifications in these tools being advantageous. Excellent communication, problem-solving, and cross-functional collaboration skills are essential for aligning teams and driving revenue growth. These competencies ensure efficient operations, data-driven decisions, and effective coordination across distributed teams to maximize organizational revenue.
What are the most commonly searched types of Revenue Operations jobs in Remote, OR? The most popular types of Revenue Operations jobs in Remote, OR are:
What are popular job titles related to Remote Revenue Operations jobs in Remote, OR? For Remote Revenue Operations jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Remote Revenue Operations jobs? Cities near Remote, OR with the most Remote Revenue Operations job openings:
Infographic showing various Remote Revenue Operations job openings in Remote, OR as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $96,437 per year, or $46.4 per hour.

Head of AI

Atos

OR โ€ข On-site, Remote

Full-time

Re-posted 3 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. โ‚ฌ10 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
โ€ข 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

โ€ข 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.

โ€ข 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.

โ€ข 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.

โ€ข 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.

โ€ข 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.

โ€ข 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.