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Data Analyst / Prompt Engineer

📍Remote


About AirOps


AirOps is the platform teams use to build scalable AI growth engines. We let you build and launch AI workflows that use the best AI models, techniques, and data sources to drive profitable growth.


Teams use AirOps to:


  • Create automated content engines that generate organic traffic at scale
  • Personalize landing pages for paid ads and lifecycle to drive improvements in CVR and ROAS
  • Build and orchestrate AI workflows that improve CX and sales efficiency


Our founding team has owned growth, product, and engineering at MasterClass, Bungalow, and Teespring. We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital.


We are a proudly global organization with team members across in-person hubs in San Francisco, New York City, and Montevideo, Uruguay.


Job Brief


We’re seeking a talented Prompt / Data Analyst Engineer to help us develop and refine AirOps’ AI features. You’ll play a key role in building data processing pipelines with labeling, analyzing user feedback, curating data, creating evaluations (evals), and ensuring our AI delivers exceptional value to our customers.


As a part-time contractor, you’ll work closely with our engineering and product teams to shape the future of AI-powered capabilities.


Responsibilities


  • Design, implement, and optimize prompts for AI workflows that align with user needs and business goals, focusing on performance and functionality.
  • Analyze user feedback data and behavior patterns to identify opportunities for improvement and optimize AI model performance.
  • Develop and maintain evaluation frameworks (evals) to measure and track the quality and effectiveness of AI features across different use cases.
  • Collaborate with engineering and product teams to iterate on AI models and workflows based on data analysis and user feedback.
  • Create and implement new AI-driven features utilizing cutting-edge LLMs and advanced prompt engineering techniques.
  • Monitor and analyze AI model performance metrics, providing insights and recommendations for continuous improvement.
  • Work with cross-functional teams to ensure AI features meet quality standards and user expectations.


Qualifications


  • 3+ years of experience in data science, machine learning, or related fields with a focus on AI/LLMs.
  • Proven track record in designing and optimizing prompts for large language models.
  • Strong understanding of AI evaluation techniques and metrics.
  • Proficient in Python and data analysis tools.
  • Experience with data visualization and communication of technical findings.
  • Demonstrated ability to work independently in a remote environment.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication abilities.
  • Experience with workflow automation tools like Zapier or Airtable is a plus.
  • Background in B2B SaaS or growth-focused environments is highly valued.


What We Offer


  • Flexible remote work schedule (20 hours/week)
  • Competitive compensation
  • Opportunity to work on cutting-edge AI technology with a high-growth startup


Interested, we would love to meet you! 👇


Apply For This Role

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DATE POSTED
January 31, 2025

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