
11 - 50 employees
📣 Marketing
🤝 B2B
👥 B2C
Marketing • B2B • B2C
Udacity Marketing is a marketing services company that emphasizes the importance of its team. They strive to create a fun, competitive, and inclusive professional atmosphere aimed at fostering optimal development and delivering maximal results. The company is dedicated to attracting, employing, and developing ambitious individuals while providing a workplace that feels like a supportive family. Their focus is on achieving business objectives and creating a long-term future for both the organization and its employees.
🕒 February 18
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11 - 50 employees
📣 Marketing
🤝 B2B
👥 B2C
Marketing • B2B • B2C
Udacity Marketing is a marketing services company that emphasizes the importance of its team. They strive to create a fun, competitive, and inclusive professional atmosphere aimed at fostering optimal development and delivering maximal results. The company is dedicated to attracting, employing, and developing ambitious individuals while providing a workplace that feels like a supportive family. Their focus is on achieving business objectives and creating a long-term future for both the organization and its employees.
• Reinforce and expand on concepts covered in Udacity’s AI business leader programs. • Guide learners through Udacity course projects, providing structured, actionable advice. • Share practical industry experience on how AI is deployed, managed, and scaled within organizations. • Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms. • Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges. • Offer grounded perspective on where AI delivers meaningful value and where it is often misapplied. • Experience with facilitating structured group sessions for professional audiences is strongly preferred.
• 5+ years working in AI, Machine Learning, Data Science, or AI Product roles. • Direct experience deploying AI/ML systems in production environments. • Familiarity with generative AI (LLMs, RAG, tool use, evaluation) and/or agent-based systems. • Solid understanding of model evaluation and how data quality impacts outcomes. • Experience working with business stakeholders or senior leadership. • Ability to explain technical trade-offs clearly without oversimplifying. • Strong communication presence and ability to manage group discussions. • Nice to Have: • Experience leading AI initiatives inside an organization. • Exposure to vendor evaluation or build-vs-buy decisions. • A background that spans both technical and business responsibility. • Previous mentoring, coaching, or teaching experience.
• Gain recognition for your technical knowledge • Earn additional income • Contribute to a vibrant, global student community • Stay updated on the latest cutting-edge technologies
Apply Now🕒 January 15
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