AI marketing job trends in 2025 are being shaped by the continued meteoric rise of the artificial intelligence sector, creating a new demand for marketing professionals who can effectively communicate the value of these solutions to diverse audiences. As we have witnessed throughout our partnerships with AI companies ranging from early-stage startups to established enterprise players, the go-to-market (GTM) talent ecosystem in tech has evolved dramatically since 2024, propelled by the new generation of machine learning and generative artificial intelligence technologies.
At Betts Recruiting, we have had a front-row seat to these changing dynamics and have collected our research here to help you align your talent acquisition with the latest developments. This blog will explore the current state of marketing hiring in the AI industry, including emerging trends, top jobs and other factors driving the direction of hiring in this sector:
GTM Hiring Trends for AI in 2024
While the broader technology sector has experienced ups and downs over the past few years, the artificial intelligence sector has maintained a strong growth trajectory since next-generation solutions like OpenAI’s ChatGPT exploded onto the scene in a big way. Since 2024, several common recruiting patterns and priorities have emerged among organizations in this space:
- Focus on filling technical roles first
- Strict experience requirements for sales or marketing hires
- Preference for specialized or technical go-to-market talent
- Narrow sourcing for each firm’s unicorn seller
- Lack of entry-level jobs
As we close out the first quarter of the new year, these trends have matured and evolved in interesting ways. Many have begun to overlap with each other as well as with the patterns seen for sales hiring in the artificial intelligence industry.
Current Trends for AI Marketing Jobs in 2025
We have identified several distinct patterns driving marketing talent acquisition for AI companies. Most of these have carried over from the rest of the technology sector, but have created their own unique challenges and opportunities for this space:
Volume Hiring vs. Unicorn Hiring
One holdover trend from general SaaS we have seen repeated by artificial intelligence companies is the shift from hiring less entry-level or mid-level candidates at volume to sourcing a select few, often more senior-level unicorns. Just as with the unicorn seller approach, many firms are seeking more experienced marketers that are already familiar with their sales motion and can scale their campaign work quickly. While several tech enterprises expanding into AI can still afford to hire for more junior-level roles, we are seeing more early-stage startups in the space focusing on sourcing one or two right-fit candidates at a time.
Technical Knowledge is Non-Negotiable
While most of the technology sector has shifted towards prioritizing candidates who have some experience with their industry market, artificial intelligence companies are setting a high bar when it comes to marketing jobs. Technical understanding is no longer a “nice to have” but a core requirement for marketers in the space, with most expected to be able to speak to both developers and business stakeholders in messaging.
The ideal technical marketing candidate persona includes:
- Conceptual understanding: Familiarity with AI and machine learning terminology and applications
- Technology comfort: Experience using artificial intelligence tools and platforms
- Translation ability: Skill in converting technical features into customer benefits
- Continuous learning mindset: Commitment to staying current with rapidly evolving technology
The Enterprise Focus
Similar to what we have observed for sales hiring in the same industry, new marketing jobs in AI are increasingly enterprise-focused, with corresponding impacts on required experience and compensation rates. Many of these openings are for seasoned specialists that have familiarity with communicating to a decision-making audience in the context of their role, such as technical product or content marketers.
Account-Based Marketing Experience
We have seen AI companies gradually begin expanding their account-based marketing (ABM) strategies and focusing on hiring candidates for various jobs that bring extensive ABM experience. This seems part of the general push towards enterprise sales throughout tech, with artificial intelligence firms seeking to ensure that their go-to-market messaging speaks to decision-makers at high-value accounts.
Key AI Marketing Roles in Demand for 2025
Our analysis of hiring data across the AI sector reveals clear patterns in the types of marketing roles that companies are prioritizing in 2025. Three roles in particular stand out for their consistently high demand and strategic importance to artificial intelligence firms:
Product Marketing Managers
Product Marketing Managers have emerged as perhaps the most critical marketing role in AI companies, acting as the main bridge between complex technology and market-facing messaging. These jobs often require that candidates have a significant level of experience in technical marketing, generally between 5 to 7 years at a minimum. Other requirements include:
- Deep familiarity with AI and machine learning concepts
- Experience marketing to technical audiences
- Ability to translate complex concepts into compelling narratives
- Strong collaboration skills with product and engineering teams
Demand Generation Managers
With heightened competition for market share, artificial intelligence companies are investing heavily in growth marketing or similar talent, including for Demand Gen Managers. Demand generation in AI requires a unique blend of technical understanding and traditional marketing expertise, along with:
- Experience generating demand specifically for AI products or services
- Deep understanding of tracking and attribution models
- Mastery of hypothesis-guided optimization and A/B testing
- Experience with marketing automation systems and CRM platforms
Content Marketing Managers
Content Marketing Managers who understand generative artificial intelligence technology are among the most sought-after growth marketing professionals in the space. Candidates must be able to combine superb writing skills with technical knowledge and an understanding of digital channels, such as SEO. Additional characteristics often include:
- Experience with or deep interest in data science or AI/ML technologies
- Experience using GenAI tools (like ChatGPT, Claude)
- Ability to produce technical content across multiple formats
- Understanding of SEO and content distribution channels
How RaaS Addresses AI Marketing Hiring Challenges
The specialized nature of AI marketing talent creates unique recruitment challenges that traditional agency models struggle to address. Betts’ Recruitment as a Service (RaaS) model offers a more efficient approach specifically designed for these challenges.
- Cost efficiency: Unlimited hires under an annual subscription versus per-hire fees
- Specialized expertise: Recruiters who understand both marketing and AI technology
- Proprietary platform: Betts Connect provides access to pre-vetted marketing candidates with AI experience
- Scalability: Ability to quickly ramp hiring up or down based on business needs
Drawing on the value-add model that powers SaaS organizations, RaaS revolutionizes traditional talent acquisition methods while dramatically reducing your total cost of recruiting.
Build Your AI Marketing Team with Betts
Whether you are a startup scaling from Seed to Series A or an enterprise combating turnover in this competitive market, Betts streamlines how you find and hire the right AI marketing professionals at the right time. Discover how RaaS and our Betts Connect platform will transform your talent acquisition and reduce your overall Cost-per-Hire.
Contact Betts here to learn how our Recruitment as a Service can help you build the AI marketing team you need to propel you to your next stage of growth.