Study.com is looking to optimize its AI operations to deliver maximum value and ensure its AI investments have a significant impact on the company's mission to make education accessible for all.
Requirements
- Hands-on experience with generative AI platforms and APIs (e.g., OpenAI's, ChatGPT/GPT-4, Anthropic Claude, etc.).
- Strong understanding of different AI models' strengths and performance characteristics across various use cases with a passion for staying up to date on the latest AI trends and translating them into practical tools.
- Experience with performance monitoring, metrics analysis, and dashboard/report creation to track AI effectiveness and ROI.
- Breadth of knowledge and agility across business (content, engineering, marketing) with a mindset for linking problems to AI-powered solutions.
- Basic programming/scripting knowledge preferred (Python, JavaScript, etc.) to integrate systems, validate AI-generated code, and integrate APIs.
Responsibilities
- Identify and track inefficiencies across teams, automate workflows with AI-driven solutions to free up everyone's time and offload routine work.
- Manage our portfolio of domain-specialized AI agents and tools, treating each AI as a specialist with unique strengths for maximum accuracy and seamless workflow integrations.
- Accelerate content creation, editing, and quality control using AI (e.g., Claude) to generate first drafts of articles, summarize research, or transform transcripts into outlines.
- Partner with engineering to embed an AI-first approach in the development lifecycle through code generation (e.g., Cursor, Claude), AI-based QA/testing, and context engineering for system alignment.
- Lead company-wide AI upskilling with workshops, tool training, and best-practice sharing to amplify insights and foster an AI-forward culture.
- Collaborate with data science and IT to build AI-driven tools like custom CRM assistants and automated dashboards using ChatGPT APIs and no-code platforms (e.g., Retool).
Other
- Bachelor's degree in Business, Computer Science, Data/Information Systems, or relevant field and/or equivalent work experience.
- 3-5 years in operations, BI, or engineering roles, preferably in technology/SaaS, with demonstrable experience implementing automation or AI solutions.
- Effective change leader and communicator, experienced in running workshops, coaching, and driving AI adoption.
- Ability to work in a diverse and inclusive environment, with a respect for different identities, race, ethnicities, backgrounds, and perspectives.