Riley Goodside

Who is Riley Goodside?

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Riley Goodside is a prompt engineer best known for his work at Scale AI and for being one of the earliest widely recognized professional prompt engineers. He helped bring prompt engineering from an informal craft into a serious discipline for working with large language models. (semafor.com)

Background and career

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Goodside rose to prominence as prompt engineering emerged as a distinct role in the early generative AI era. In 2023, Scale AI described him as its Staff Prompt Engineer, and coverage from that period framed him as one of the first people hired specifically to do this work. (exchange.scale.com)

His public reputation grew through talks, interviews, and examples of prompt-driven model testing that showed how much behavior can be shaped by instruction design, evaluation, and red teaming. For AI builders, his career is a useful reminder that prompt work is not just wording, it is a repeatable engineering practice around model behavior. (interconnects.ai)

Key facts about Riley Goodside include:

1. Primary role: Staff prompt engineer, publicly associated with Scale AI.
2. Recognition: Often described as one of the first professional prompt engineers.
3. Public focus: Prompt design, model behavior testing, and adversarial prompting.
4. Industry impact: Helped popularize prompt engineering as a serious AI workflow.
5. Public presence: Shares ideas through interviews, talks, and social profiles.

Notable contributions

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1. Early professional prompt engineering: Helped define prompt engineering as a dedicated role inside an AI company, rather than an ad hoc task.
2. Scale AI talks and events: Appeared in Scale programming on the origins and future of prompt engineering, helping document the field as it matured. (exchange.scale.com)
3. Public interviews: Shared practical ideas about how to probe model weaknesses and improve outputs through careful instruction design. (interconnects.ai)
4. Red-teaming influence: Became closely associated with adversarial prompting and model stress testing, which are now core parts of many AI evaluation workflows.
5. Prompt engineering visibility: Helped normalize the idea that prompts can be versioned, tested, and iterated like other software artifacts.

Why they matter in AI today

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1. Prompting is production work: Goodside’s public profile shows that prompts can be treated as part of the software stack, not just one-off experiments.
2. Evaluation matters: His work highlights that strong prompts are usually discovered through testing, not guesswork.
3. Adversarial thinking helps: Stress testing prompts against failure cases is now standard practice for safer, more reliable systems.
4. Instruction quality is a skill: Teams can learn from his approach to concise, specific, behavior-shaping instructions.
5. The role is still evolving: His career captures how prompt engineering has grown from novelty into a durable AI function.

Where to follow their work

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The most useful public sources on Riley Goodside are his interviews, recorded talks, and professional profiles. Scale’s event pages and interviews provide the clearest record of his public work on prompt engineering. (exchange.scale.com)

He is also active on professional social channels, including LinkedIn, where his current affiliations and past Scale context are visible. That makes it easy to track how his thinking has evolved alongside the broader AI tooling stack. (linkedin.com)

How PromptLayer connects with Riley Goodside's work

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Riley Goodside’s work sits close to the problems PromptLayer is built to solve: prompt iteration, observability, versioning, and evaluation. The PromptLayer team helps teams manage prompts as a system, compare changes over time, and build repeatable workflows around the kind of prompt engineering that Goodside helped popularize.

Ready to try it yourself? Sign up for PromptLayer and start managing your prompts in minutes.