OpenAI · AI product · Senior · 45 to 60 minutes

How should OpenAI focus fine tuning?

OpenAI builds general purpose AI models and products used by consumers, developers, and businesses. Answer this product management case and get it graded line by line against a weighted rubric.

Product strategy
Problem framing
Platform thinking
Prioritization
Risk judgment

The situation

OpenAI leadership has asked you, a senior PM for the API business, to recommend a strategy for the company’s fine tuning capabilities. Demand is growing from developers and enterprises that want models to behave consistently on their own data and workflows, but requests vary widely. Some customers want broad horizontal customization for many use cases, while others argue OpenAI should go deeper in a few domains such as medical, legal, or retail, where domain knowledge, trust, and workflow fit may matter more. At the same time, fine tuning can increase product complexity, evaluation burden, misuse risk, and support cost, and it may overlap with other ways customers adapt models. Why now: OpenAI needs to decide where to invest next across research, product, safety, and go to market before usage patterns and competitor narratives harden. Assume you have finite capacity and incomplete market data. Your job is to frame the problem, choose a strategic direction, and explain what OpenAI should sequence first and what it should avoid for now.

What to produce

A 2 page strategy memo.

Your answer must

Frame the decision in first principles terms, including whose problem OpenAI is solving and what fine tuning is meant to accomplish.
Lay out at least two strategic options, with one more horizontal and one more vertically focused, and compare their tradeoffs.
Recommend a path for the next 12 to 18 months and state what OpenAI should prioritize, defer, or avoid.
Discuss second order effects on safety, evaluation, platform complexity, support model, and go to market.
Define 3 to 5 success metrics or learning milestones that would show whether the strategy is working.

Constraints

Work only from the context in this prompt and broadly known facts about OpenAI, do not assume undisclosed customer data, revenue figures, or competitor moves.
Your plan must fit within limited research, engineering, safety, and go to market capacity over roughly the next year.
Do not rely on acquisitions, exclusive partnerships, or launching a separate company as the core answer.

Format

Use clear headings and concise bullets. Start with a one sentence recommendation, then cover problem framing, options, recommendation, sequencing, metrics, and risks.

How OpenAI actually played it

A worked interview answer on developing a strategy for OpenAI's fine-tuning capability, using first-principle questions and verticalized intelligence for fields such as medical, legal and retail.

Break strategy questions into first principles
Consider vertical specialization
Clarify the problem before choosing a path

Built from Develop a strategy for OpenAI’s fine-tuning capabilities? by Technomanagers.