A dark workspace with a monitor displaying a car, a closed laptop, a compact keyboard, mouse, headphones on a stand, wireless earbuds, and subtle warm lighting under the desk.

Pay has changed dramatically in some of the newest careers in the job market. Roles that were rare, experimental, or barely known a decade ago can now offer six-figure salaries, especially in artificial intelligence, cloud computing, cybersecurity, digital finance, and other fast-growing technology fields.

Not everyone in these fields automatically earns $100,000, and salaries vary significantly by experience, employer, and location. But experienced workers in these newer specialties can now reach six figures, while several broader occupations connected to them already have median U.S. salaries above $100,000. These 16 jobs show just how quickly the career landscape can change.

1. Machine Learning Engineer

A desk setup with a laptop, a large monitor displaying code, a vertical monitor showing a chat app, a keyboard, mouse, phone, and a green vase with a red rose. Shelves with decor are in the background.
CoderIconoclast / Reddit.com

Potential Pay: $100,000+

Machine learning moved from a relatively specialized area of computer science into the center of the technology industry as companies began building recommendation systems, autonomous technology, predictive tools, and generative AI products. Today, engineers who can train, deploy, and improve machine learning models are being hired across industries far beyond traditional technology companies.

2. Prompt Engineer

A modern computer setup with a monitor displaying a loading screen, white keyboard, black mouse, orange PC case, desk lamp, and small potted plants on a dark desk.
ShibaInu24 / Reddit.com

Potential Pay: $100,000+ in Specialized Roles

Almost nobody was searching job boards for “prompt engineer” in 2016. The explosion of generative AI created demand for people who understand how to structure instructions, evaluate model responses, develop AI workflows, and help organizations get reliable results from large language models, although the role is increasingly being incorporated into broader AI positions.

3. Data Scientist

A desk setup with three monitors and a laptop. Two monitors display a cosmic wallpaper, one is vertical showing code, and the laptop screen shows graphs. A keyboard, mouse, and some decor are also on the wooden desk.
FrancoBitt / Reddit.com

Median Pay: $120,230

Data science existed a decade ago, but it has rapidly developed into a mainstream career as companies collect and analyze enormous amounts of information. Data scientists combine statistics, programming, machine learning, and business knowledge to identify patterns and help organizations make decisions, and the field continues to expand quickly.

4. AI Product Manager

Home office with a large wooden desk, computer monitor, white chair, bookshelves, potted plant, and a ceiling fan. Sunlight streams through windows with white blinds on the green accent wall.
kissm3cait / Reddit.com

Potential Pay: $100,000+

Traditional product managers have existed for decades, but managing products built around artificial intelligence requires an increasingly specialized combination of technical understanding and business strategy. AI product managers help determine where models should be used, how AI features should work, and whether those features actually solve meaningful customer problems.

5. Cloud Security Engineer

A server rack with several network and server devices, cables, and power cords is set up in a cluttered workshop or garage with tools and shelves visible in the background.
No_Complex963 / Reddit.com

Potential Pay: $100,000+

As companies moved enormous amounts of data and infrastructure into cloud platforms, protecting those systems became its own major specialty. Cloud security engineers design safeguards, manage access, identify vulnerabilities, and protect applications from attacks, combining two of today’s most valuable areas of expertise: cloud computing and cybersecurity.

6. DevOps Engineer

A laptop screen displays the AWS Lambda console, showing the configuration page for a function called “startEC2” with EventBridge (CloudWatch Events) set as a trigger.
DCGMechanics / Reddit.com

Potential Pay: $100,000+

DevOps emerged from efforts to bring software development and IT operations closer together, but the role became far more established during the past decade as cloud infrastructure expanded. DevOps engineers automate deployments, manage infrastructure, improve software delivery systems, and help development teams release products faster and more reliably.

7. Site Reliability Engineer

A dark room with a desk setup featuring two monitors and a PC with glowing blue lights, illuminated by blue and purple LED lighting near a window with closed blinds.
Merrymak3r / Reddit.com

Potential Pay: $100,000+

Site reliability engineering was pioneered before 2016, but it has become much more common as businesses have grown dependent on always-available digital services. These engineers combine software development and infrastructure skills to keep websites, apps, and online platforms running reliably, particularly when millions of users may depend on them.

8. Blockchain Developer

A cryptocurrency trading platform interface displays BTC/USD price charts, a countdown timer, trading options, and recent market activity with green and red market indicators.
Neither-Double190 / Reddit.com

Potential Pay: $100,000+

Blockchain development was still highly specialized a decade ago, before cryptocurrency markets, decentralized finance, smart contracts, and blockchain applications expanded dramatically. Developers in the field build decentralized applications and infrastructure, and experienced specialists can command high salaries because the required technical skills remain relatively uncommon.

9. FinTech Engineer

A black computer server rack labeled “Friday Cluster,” with network cables, ports, and indicator lights, set near a window with blinds in the background.
r/minilab / Reddit.com

Potential Pay: $100,000+

Digital banking, mobile payments, investing apps, and financial APIs have created a growing category of engineers focused specifically on financial technology. FinTech engineers build the systems behind everything from instant payments to automated investing, and the World Economic Forum now lists FinTech engineers among the world’s fastest-growing job categories.

10. Autonomous Vehicle Engineer

A pair of yellow work boots are humorously placed inside the undercarriage of a raised car in an auto repair shop, making it appear as if someone is trapped inside the vehicle.
Samef42 / Reddit.com

Potential Pay: $100,000+

Self-driving vehicles were largely experimental projects a decade ago. Today, autonomous technology supports an expanding ecosystem of engineers working on computer vision, sensors, robotics, mapping, simulation, and machine learning for cars, delivery vehicles, and other transportation systems.

11. Robotics Software Engineer

A black toolkit with an electronics tester, pliers, screwdriver set, wire, multitool, cables, pliers, and electronic components on a green cutting mat.

Complexxconsequence / Reddit.com

Potential Pay: $100,000+

Robots have existed for decades, but advances in artificial intelligence, computer vision, sensors, and cheaper computing have dramatically expanded what they can do. Robotics software engineers now develop systems for warehouses, factories, delivery operations, healthcare, and autonomous machines, turning a once highly specialized field into a growing technology career.

12. Cybersecurity Threat Hunter

A minimalist desk setup features a desktop monitor with a car wallpaper, an open laptop, mechanical keyboard, mouse, headphones on a stand, and other accessories, all illuminated by warm ambient lighting.
ShakirShums / Reddit.com

Potential Pay: $100,000+

Traditional cybersecurity often focused on responding when systems detected suspicious activity. Threat hunters take a more proactive approach, deliberately searching networks for attackers or vulnerabilities that automated security systems may have missed, a specialty that has grown as cyberattacks have become more sophisticated.

13. Cloud Solutions Architect

A Google Cloud Architect branded bag sits on a wooden surface, with a tag attached that describes its features, including being made of recycled nylon and having an attached storage sack.
abebrahamgo / Reddit.com

Potential Pay: $100,000+

The massive shift toward cloud computing created demand for professionals who can design entire technology environments rather than simply maintain individual servers. Cloud solutions architects help businesses decide how applications, databases, security systems, and infrastructure should work together across platforms such as AWS, Microsoft Azure, and Google Cloud.

14. Privacy Engineer

A modern desk setup with two monitors, a laptop, keyboard, mouse, gaming controllers, and desk accessories. Above, a white shelf holds art, bottles, animal figures, and a teddy bear. An air conditioner is on the wall.
Marske1984 / Reddit.com

Potential Pay: $100,000+

Growing concerns about personal data have created technical jobs that sit between software engineering, cybersecurity, and privacy law. Privacy engineers help companies build systems that collect and process data responsibly while meeting increasingly complex regulatory requirements, making the specialty far more important than it was a decade ago.

15. Generative AI Engineer

A dark-themed UniFi network dashboard shows system stats, traffic graph, WAN selection, internet activity, device status bars, and top app usage tiles at the bottom.
Kermee / Reddit.com

Potential Pay: $100,000+

Generative AI engineering is one of the clearest examples of a career that barely existed in its current form a few years ago. These specialists build applications around large language models and other generative systems, connecting models to company data, developing AI agents, evaluating outputs, and creating tools that can generate text, images, audio, or code.

16. AI Safety Engineer

A hand holds a phone displaying a work alert about a potential object near Checkouts POS 17, instructing staff to assess and clean the area.
iiUniquaa / Reddit.com

Potential Pay: $100,000+ in Specialized Roles

As increasingly powerful AI systems move into real products, companies need specialists focused on making those systems safer and more predictable. AI safety engineers and researchers evaluate model behavior, identify vulnerabilities, develop safeguards, and study ways to reduce harmful or unintended outputs, creating an emerging career category that was extremely uncommon a decade ago.

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Meet the Writer

Tatiana is a graphic designer specialized in marketing, with over 15 years of experience in the digital marketing world. Throughout her career, she’s worked with a variety of brands, developing strategies that blend creativity, identity, and results and loves to churn out refreshingly engaging content for audiences across many content realms at the same time. Find her on Behance at, tatianaalalach, as well.