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AI Product Analyst

Role

We're looking for an AI Product Analyst to join our team and lead the integration and optimization of AI models within our desktop application. You'll be responsible for making our AI co-creator work efficiently and naturally within the user experience.

As our team is small and flat, you'll be solely responsible for making key decisions about AI integration, model fine-tuning, and ensuring our AI co-creator delivers the best possible experience for content creators.

What You'll Do

You'll collaborate directly with the founder (CTO). Here's some of the things you'll do:

  • Integrate AI models SDKs into Stroke to power our AI co-creator, ensuring seamless and native functionality within the desktop app
  • Work with codebase to create flows inside Stroke for fine-tuning custom models by users themselves, allowing them to adapt the AI co-creator to their specific needs and preferences
  • Design and optimize AI workflows, including request handling, conversation flow, and history retention, to deliver highly relevant suggestions and edits for users
  • Collaborate with engineers and product designers to ensure the AI co-creator enhances the user experience without overwhelming or confusing users
  • Analyze user interactions with the AI co-creator to identify areas for improvement, such as reducing irrelevant outputs or improving context awareness
  • Develop architecture of storing and recalling user history to enable personalized and context-aware AI responses
  • Test and validate AI outputs to ensure accuracy, relevance, and alignment with user expectations, iterating on prompts and workflows as needed
  • Stay updated on the latest advancements in AI and NLP to continuously improve the capabilities of our AI co-creator

Tech Stack

  • AI/ML frameworks (TensorFlow, PyTorch) and NLP tools (Hugging Face, spaCy)
  • AI SDKs (OpenAI, Anthropic, DeepSeek, and other modern AI providers)
  • Proficiency in prompt engineering and working with large language models (GPT, BERT)
  • APIs for AI model integration (REST, GraphQL)
  • Python for scripting and automation
  • Git, CI/CD pipelines, and automated testing frameworks
  • Bonus: User behavior analytics tools (Amplitude, Mixpanel) to analyze AI performance
  • Bonus: Understanding of desktop app environments (Electron.js) for seamless integration

What We're Looking For

  • Strong experience with AI/ML model integration and prompt engineering
  • Proficiency in Python and experience with modern AI frameworks
  • Experience analyzing user behavior and optimizing AI outputs based on data
  • Comfortable working independently with minimal oversight
  • Results-oriented mindset with focus on shipping high-quality AI experiences
  • Ability to code and work directly with technical implementation

How to Apply

To apply, email us at [email protected] with the following info:

  • Your resume
  • A project you're proud of - specifically, tell us about the most challenging part of the project you personally resolved (e.g., optimizing an AI model's output or improving context retention) and how you tackled it

If there appears to be a fit, we'll get back to you. The final step is collaborative interview you 'll work on a small AI-related project, among with the teamm.