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Prompt Engineering Marketing Jobs (NOW HIRING)

Samba

Marketing Engineer

San Francisco, CA · On-site +1

Ensure marketers on the team are on the cutting edge of AI, prompt-engineering campaigns, testing agents, and shipping AI-powered work. * Turn what a sharp marketer created into the tool the whole ...

KLDiscovery

Senior Content Marketing Manager

Mclean, VA · Remote

$80K - $115K/yr

Apply prompt engineering techniques to produce on-brand, high-quality outputs * Edit and refine AI ... Partner with Product Marketing, Sales, and subject matter experts to ensure accuracy and relevance

TEGNA Inc.

AI Engineer

Virginia, IL · On-site

Implement advanced prompt engineering strategies including: * Prompt chaining and multi-turn ... Background in sales, media, marketing analytics, or enterprise data platforms (a plus). #LI-MS1

BirdEye Inc

Marketing Engineer

Palo Alto, CA · On-site

Strong curiosity about agentic workflows, prompt engineering, retrieval, tool use, evals, and ... Bonus: experience with marketing, growth, sales, CRM systems, outbound automation, SEO, content ...

SULLENBERGER ROSKAMP PLLC

Be Seen First

Marketing and Intake Coordinator (Entry-level)

Denver, CO · On-site

$40K/yr

Ensure all marketing materials comply with legal advertising rules, firm brand guidelines, and ... Familiarity with generative AI content tools and basic prompt engineering. * Strong writing ...

SULLENBERGER ROSKAMP PLLC

Be Seen First

Marketing and Intake Coordinator (Entry-level)

Denver, CO · On-site

$40K/yr

Ensure all marketing materials comply with legal advertising rules, firm brand guidelines, and ... Familiarity with generative AI content tools and basic prompt engineering. * Strong writing ...

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All JobsPrompt Engineering Marketing Jobs

Prompt Engineering Marketing information

See salary details

$59.5K

$139.4K

$205.5K

How much do prompt engineering marketing jobs pay per year?

As of Jun 8, 2026, the average yearly pay for prompt engineering marketing in the United States is $139,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $177,000.00 per year, depending on experience, location, and employer.

What is the difference between Prompt Engineering Marketing vs Content Marketing Specialist?

AspectPrompt Engineering MarketingContent Marketing Specialist
Required CredentialsBachelor's in Marketing, Communications, or related field; familiarity with AI toolsBachelor's in Marketing, Communications, or related field; strong writing skills
Work EnvironmentTech companies, AI startups, marketing agenciesMedia firms, brands, digital marketing agencies
Employer & Industry UsageEmerging role in AI-driven marketing teamsEstablished role in content creation and strategy
Search & Comparison IntentHigh overlap in marketing and AI integrationFocus on content creation and strategy

Prompt Engineering Marketing involves designing prompts for AI tools to optimize marketing campaigns, combining marketing knowledge with AI expertise. Content Marketing Specialists focus on creating and distributing valuable content to attract audiences. While both roles require marketing fundamentals, Prompt Engineering Marketing emphasizes AI prompt design, whereas Content Marketing Specialists concentrate on content strategy and storytelling.

Infographic showing various Prompt Engineering Marketing job openings in the United States as of May 2026, with employment types broken down into 65% Full Time, 26% Part Time, and 9% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $139,395 per year, or $67 per hour.

Salesforce AgentForce Developer (Generative & Agentic AI Specialist)

IPEM SOLUTIONS INC

Sacramento, CA • Remote

$50/hr

Full-time

Posted 28 days ago

Job description

Job Summary:
We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise-grade AI architecture.
Key Responsibilities:
Salesforce AgentForce Development:
  • Design and build AI-powered agents using Salesforce AgentForce
  • Configure and manage:
    Agent Builder
    • Topics
    • Actions (Flow, Apex, API-based)
    • Prompt Templates
    • Channels & deployment configurations
  • Implement end-to-end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
  • Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
  • Integrate external systems via REST/SOAP APIs
Generative & Agentic AI Implementation:
  • Design and implement generative AI solutions using Prompt Builder and LLM integrations
  • Apply prompt engineering best practices for performance, tone, safety, and accuracy
  • Architect agentic workflows involving reasoning, multi-step task execution, and decision-making
  • Implement Retrieval-Augmented Generation (RAG) patterns where applicable
  • Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
  • Optimize AI model performance and response evaluation
Architecture & Governance
  • Define scalable AI architecture within Salesforce ecosystem
  • Implement data governance and security policies for AI-driven workflows
  • Collaborate with Solution Architects, Data Architects, and Business Stakeholders
  • Follow DevOps best practices using Salesforce DX, CI/CD pipelines
  • Conduct code reviews, testing, and performance tuning
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
  • 5+ years of Salesforce development experience
  • Hands-on experience with Salesforce AgentForce implementation
  • Strong knowledge of: Agent Builder; Topics & Actions; Prompt Builder; Einstein AI; Salesforce Flows; Apex & LWC; Salesforce APIs; Data Cloud; Einstein Trust Layer
  • Solid understanding of: Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
  • Required Certifications (Mandatory) - Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
  • Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API Integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
  • CI/CD & DevOps (Git, Copado, Gearset, Azure DevOps); JSON, JavaScript, Python
  • Excellent communication and stakeholder management skills