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Remote Ai Operations Jobs in Raleigh, NC (NOW HIRING)

USA (remote) We are looking for a GEO Lead-the first role of its kind atLeapXpert, and across ... AI-driven workflows across the marketing tech stack to accelerate content operations ...

This is an exceptional opportunity to own end-to-end A/R operations, drive revenue recognition ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

This is an exceptional opportunity to own end-to-end A/R operations, drive revenue recognition ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

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Remote Ai Operations information

See Raleigh, NC salary details

$9

$23

$47

How much do remote ai operations jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote ai operations in Raleigh, NC is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $26.88 per hour, depending on experience, location, and employer.

What is the difference between Remote Ai Operations vs Data Analyst?

AspectRemote Ai OperationsData Analyst
Required CredentialsBackground in AI, machine learning, or data science; often requires certifications in AI tools or programming languagesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative teams focused on AI model deployment and maintenanceRemote or on-site, analyzing data sets to generate insights
Industry UsageTech companies, AI startups, research institutionsFinance, marketing, healthcare, and other sectors relying on data insights

Remote Ai Operations and Data Analysts both work with data, but Remote Ai Operations focuses on managing AI systems and models, while Data Analysts interpret data to inform business decisions. The roles share skills in data handling and analysis but differ in their focus on AI deployment versus data interpretation.

What are popular job titles related to Remote Ai Operations jobs in Raleigh, NC? For Remote Ai Operations jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Operations jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Operations jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Operations jobs? Cities near Raleigh, NC with the most Remote Ai Operations job openings:
Marketing Operations & AI Strategist

Marketing Operations & AI Strategist

Mondo

Durham, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Job Title: Marketing Operations & AI Strategist Location-Type: Remote (must reside in one of the following states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY, MD, MI, MN, MO, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, VT, WA) Start Date: ASAP Duration: Permanent Compensation Range: $180,000 - $200,000 plus 15% Bonus Benefits: Medical (PPO and HDHP options via Client, including HSA with company contributions), Dental and Vision, FSA and Dependent Care Account, company-paid Life Insurance, STD and LTD, voluntary benefits (Supplemental Life, Critical Illness, Accident, Pet Insurance), 401(k) with up to 3% employer match and no vesting period, Flexible PTO, 10 company holidays, Parental Leave, Paid Volunteer Time Off, Employee Reimbursement Program (well-being, technology, or professional development). Annual performance bonus of 15%. Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a hands-on Marketing Operations & AI Strategist to architect and execute an AI-native transformation of the marketing function, owning both the strategic vision and the technical build across HubSpot, Salesforce, and adjacent GTM systems. Job Summary Define and execute the organization's AI strategy for marketing, designing and deploying AI-powered workflows, agents, and decision systems tied to measurable pipeline and revenue outcomes. Architect scalable marketing operations infrastructure across HubSpot, Salesforce, and related GTM tools, partnering with GTM Engineering on integrations and data flows. Build next-generation attribution models and AI-driven reporting systems that connect marketing activity to pipeline and revenue performance. Own lifecycle strategy and implementation, including intelligent lead scoring, routing, segmentation, and nurture using behavioral and firmographic data. Build a repeatable, scalable campaign operating system with standardized frameworks, templates, and QA processes. Eliminate manual and fragmented processes through automation and AI, replacing them with intelligent, optimized workflows. Drive adoption of new tools, systems, and ways of working across Marketing, Sales, GTM Ops, and Leadership, mentoring team members and elevating overall operations maturity. Minimum Requirements: 10 years of experience in Marketing Operations, Growth Operations, or Marketing Analytics within a B2B SaaS environment. Expert-level HubSpot proficiency (3-5 recent years) spanning campaign architecture, attribution, reporting, lead scoring, segmentation, and Salesforce integrations. Strong Salesforce expertise and deep understanding of marketing technology ecosystems, data architecture, APIs, integrations, and funnel analytics. Proven track record building, scaling, and optimizing marketing operations functions and systems from the ground up in a hands-on individual contributor capacity. Hands-on experience deploying AI into production marketing workflows using tools such as Claude, ChatGPT, Gemini, AI agents, prompt engineering, and workflow automation. Demonstrated ability to connect AI initiatives to measurable business outcomes including pipeline growth, revenue impact, and operational efficiency. Strong business acumen with the ability to translate complex data into clear, strategic recommendations for senior leadership. Preferred Qualifications: Experience building an AI-first marketing operations function from the ground up, including designing or managing AI agents or autonomous workflows in a production environment. Demonstrated ability to maintain code bases for technical marketing systems such as lead scoring models. Background in high-growth or transformation-stage SaaS companies with a track record of rebuilding attribution in complex GTM environments. Experience leading change management initiatives tied to the introduction of new technologies and Client operational approaches. Familiarity with development and architecture best practices and comfort working with APIs and debugging complex, multi-system integrations.