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Ai Replacing Jobs (NOW HIRING)

Mondo

Marketing Operations & AI Strategist

Durham, NC · Remote

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 ...

Sphinx

Compliance Lead

San Francisco, CA · On-site

$185K/yr

We build AI analysts that work inside browsers and internal systems just like humans - automating AML, KYC, KYB, and transaction monitoring end-to-end. Instead of replacing judgment, our agents ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

... are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution ... As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal ... are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal ... are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO · On-site

$17 - $25/hr

Workflow Automation Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation - replacing ...

Tata Consultancy Service Limited

AI Modeler

Malvern, PA · On-site

$140K - $160K/yr

What You Will Do • Design, build, and optimize Bedrock-powered pipelines replacing custom-trained ... the Senior AI Engineer who leads FM and Bedrock capability building across the teams Generic ...

TIFIN

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$200K - $275K/yr

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... replacing fragmented tools with intelligent, autonomous systems. * Agentic Infrastructure ...

Cascading AI Inc

Technical Recruiter

San Francisco, CA · On-site

$130K - $170K/yr

We're replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. Why Casca? Casca is building AGI for banking. We're replacing decades ...

Omi AI

General Application

San Francisco, CA · On-site

We believe the future isn't about replacing human intelligence-it's about augmenting it. If you want to help build the next breakthrough in AI wearables, come join us Benefits * Relocation: If you ...

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Ai Replacing information

See salary details

$30K

$115.4K

$206K

How much do ai replacing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai replacing in the United States is $115,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Replacing vs Data Analyst?

AspectAi ReplacingData Analyst
Required CredentialsTypically no formal credentials, focus on technical skillsBachelor's degree in data science, statistics, or related field
Work EnvironmentTech-driven, automation-focused, often in software or AI companiesOffice setting, analyzing data sets, reporting
Industry UsageUsed across tech, finance, healthcare for automationCommon in finance, marketing, healthcare, and business sectors
Search & Comparison IntentUnderstanding automation impact on jobsAnalyzing data trends, making business decisions

Ai Replacing involves automation and AI technologies impacting various jobs, often requiring technical skills or understanding of AI systems. Data Analysts focus on interpreting data to inform business decisions, requiring analytical skills and specific credentials. While both roles are data-related, Ai Replacing emphasizes automation's role in replacing tasks, whereas Data Analysts focus on data interpretation and insights.

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What job categories do people searching Ai Replacing jobs look for?

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Ai Replacing jobs near you
Infographic showing various Ai Replacing job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $115,445 per year, or $55.5 per hour.

Marketing Operations & AI Strategist

Mondo

Durham, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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.