Jul 23, 2025

Jul 23, 2025

Top Customer Support Roles That Will Grow in the Age of AI

Top Customer Support Roles That Will Grow in the Age of AI

As artificial intelligence reshapes the job market, one area undergoing a quiet transformation is customer support. Far from eliminating jobs, AI is redefining them—automating repetitive queries, streamlining workflows, and freeing up human agents for more complex interactions. But what does that mean for people working in customer service?

The truth is: customer support isn't dying—it’s evolving. And with the right skills, support professionals can ride the wave of AI to new and in-demand roles.

In this article, we explore the top customer support jobs that are not only resilient in the age of AI, but are also poised for growth.

1. Customer Experience (CX) Specialist

Why it’s growing:

As companies automate basic support tasks, there’s an even stronger need for humans to ensure that customers feel heard, valued, and satisfied. The CX Specialist role focuses on the entire customer journey—not just solving problems, but designing better experiences across touchpoints.

Key skills:

  • Journey mapping

  • Emotional intelligence

  • Customer insight analysis

  • Working with AI feedback tools

2. AI Customer Support Trainer

Why it’s growing:

Every AI chatbot or virtual agent needs training—lots of it. Someone has to provide the data, write the responses, and teach the bot how to handle edge cases. That’s where AI Trainers come in.

This emerging role often suits experienced support agents who deeply understand customer language and pain points. They become the "brains behind the bot."

Key skills:

  • Prompt engineering

  • Chatbot dialogue writing

  • Labeling and tagging support queries

  • Basic understanding of machine learning inputs

3. Technical Support Specialist (Tier 2 and 3)

Why it’s growing:

AI is good at solving FAQs—but when something breaks or goes wrong in a more complex way, technical support agents step in. In fact, with AI handling the basics, human tech support is now focusing on deeper, more technical challenges, making the role more specialized and valuable.

Key skills:

  • Troubleshooting complex systems

  • Remote diagnostic tools

  • Interpreting logs and performance data

  • Working with development and product teams

4. Customer Success Manager (CSM)

Why it’s growing:

Support used to be reactive. Today, customer success is proactive—ensuring that users achieve their goals before problems arise. As AI handles tickets, more companies are investing in CSMs to build relationships and reduce churn.

This role blends support, sales, and strategy—making it one of the most sought-after paths for growth-oriented support pros.

Key skills:

  • Onboarding strategy

  • Data-driven customer health monitoring

  • Cross-functional collaboration

  • Retention and upselling techniques

5. Support Operations Analyst

Why it’s growing:

As support becomes more data-driven, companies need people to analyze performance, automate workflows, and measure the impact of AI tools. This is the behind-the-scenes engine that keeps support teams efficient.

Key skills:

  • Workflow automation (e.g. Zendesk, Intercom, Zapier)

  • Metrics tracking and dashboards

  • QA monitoring

  • AI tool integration

6. Escalation Manager

Why it’s growing:

As frontline issues get handled by automation, the toughest problems rise to the top. That’s why escalation roles are more important than ever. These specialists handle sensitive situations, priority accounts, and high-impact incidents—often combining empathy with business risk awareness.

Key skills:

  • High-level communication

  • Conflict resolution

  • Root cause analysis

  • Crisis management

7. Multilingual Support Specialist

Why it’s growing:

AI translation is improving—but it’s not perfect. For high-stakes or localized support, real humans who speak the customer’s language remain vital. Companies expanding into new markets need multilingual professionals to provide culturally sensitive, human-centric service.

Key skills:

  • Native or fluent language skills

  • Localized customer behavior knowledge

  • Translation QA

  • Support tool proficiency

Final Thoughts: AI Is Creating New Value in Customer Support

The rise of AI is not a death sentence for customer support jobs. Instead, it’s an opportunity to step into more strategic, human-centric, and tech-savvy roles.

If you're in customer service today, the key to thriving tomorrow is:

  • Learning how AI tools work

  • Upskilling in data, communication, and automation

  • Positioning yourself in roles that require judgment, empathy, and strategy

The support professionals who embrace these changes won't be replaced by AI—they’ll be the ones leading it.


As artificial intelligence reshapes the job market, one area undergoing a quiet transformation is customer support. Far from eliminating jobs, AI is redefining them—automating repetitive queries, streamlining workflows, and freeing up human agents for more complex interactions. But what does that mean for people working in customer service?

The truth is: customer support isn't dying—it’s evolving. And with the right skills, support professionals can ride the wave of AI to new and in-demand roles.

In this article, we explore the top customer support jobs that are not only resilient in the age of AI, but are also poised for growth.

1. Customer Experience (CX) Specialist

Why it’s growing:

As companies automate basic support tasks, there’s an even stronger need for humans to ensure that customers feel heard, valued, and satisfied. The CX Specialist role focuses on the entire customer journey—not just solving problems, but designing better experiences across touchpoints.

Key skills:

  • Journey mapping

  • Emotional intelligence

  • Customer insight analysis

  • Working with AI feedback tools

2. AI Customer Support Trainer

Why it’s growing:

Every AI chatbot or virtual agent needs training—lots of it. Someone has to provide the data, write the responses, and teach the bot how to handle edge cases. That’s where AI Trainers come in.

This emerging role often suits experienced support agents who deeply understand customer language and pain points. They become the "brains behind the bot."

Key skills:

  • Prompt engineering

  • Chatbot dialogue writing

  • Labeling and tagging support queries

  • Basic understanding of machine learning inputs

3. Technical Support Specialist (Tier 2 and 3)

Why it’s growing:

AI is good at solving FAQs—but when something breaks or goes wrong in a more complex way, technical support agents step in. In fact, with AI handling the basics, human tech support is now focusing on deeper, more technical challenges, making the role more specialized and valuable.

Key skills:

  • Troubleshooting complex systems

  • Remote diagnostic tools

  • Interpreting logs and performance data

  • Working with development and product teams

4. Customer Success Manager (CSM)

Why it’s growing:

Support used to be reactive. Today, customer success is proactive—ensuring that users achieve their goals before problems arise. As AI handles tickets, more companies are investing in CSMs to build relationships and reduce churn.

This role blends support, sales, and strategy—making it one of the most sought-after paths for growth-oriented support pros.

Key skills:

  • Onboarding strategy

  • Data-driven customer health monitoring

  • Cross-functional collaboration

  • Retention and upselling techniques

5. Support Operations Analyst

Why it’s growing:

As support becomes more data-driven, companies need people to analyze performance, automate workflows, and measure the impact of AI tools. This is the behind-the-scenes engine that keeps support teams efficient.

Key skills:

  • Workflow automation (e.g. Zendesk, Intercom, Zapier)

  • Metrics tracking and dashboards

  • QA monitoring

  • AI tool integration

6. Escalation Manager

Why it’s growing:

As frontline issues get handled by automation, the toughest problems rise to the top. That’s why escalation roles are more important than ever. These specialists handle sensitive situations, priority accounts, and high-impact incidents—often combining empathy with business risk awareness.

Key skills:

  • High-level communication

  • Conflict resolution

  • Root cause analysis

  • Crisis management

7. Multilingual Support Specialist

Why it’s growing:

AI translation is improving—but it’s not perfect. For high-stakes or localized support, real humans who speak the customer’s language remain vital. Companies expanding into new markets need multilingual professionals to provide culturally sensitive, human-centric service.

Key skills:

  • Native or fluent language skills

  • Localized customer behavior knowledge

  • Translation QA

  • Support tool proficiency

Final Thoughts: AI Is Creating New Value in Customer Support

The rise of AI is not a death sentence for customer support jobs. Instead, it’s an opportunity to step into more strategic, human-centric, and tech-savvy roles.

If you're in customer service today, the key to thriving tomorrow is:

  • Learning how AI tools work

  • Upskilling in data, communication, and automation

  • Positioning yourself in roles that require judgment, empathy, and strategy

The support professionals who embrace these changes won't be replaced by AI—they’ll be the ones leading it.