Product Manager AI Applications
Scale AI
Job Overview
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Job Description
About the Product Manager AI Applications Role at Scale AI
Scale AI is experiencing rapid growth, and joining the International Public Sector team presents an exciting opportunity to contribute to one of the company's fastest-expanding divisions. This team is dedicated to initiating, executing, and cultivating Scale AI's engagements with governmental and government-backed entities outside the United States.
We specialize in developing bespoke AI solutions that harness our customers' proprietary data and expertise to revolutionize their organizations. Our process involves collaborating closely with clients to understand their challenges and workflows, then deploying our team to build cutting-edge solutions. These applications are powered by the Scale GenAI Platform, a comprehensive product designed for building, testing, and deploying frontier AI agents.
Key initiatives include:
- Developing custom AI applications
- Building custom LLMs
- Providing high-quality training data for research and government institutions developing LLMs
- Fostering regional talent growth and AI adoption through strategic partnerships
We are actively seeking an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate will possess deep experience in AI/ML application development, strategic problem-solving abilities, exceptional listening skills, comfort with operational details, and a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or multiple customers, leading a cross-functional team of engineers, Machine Learning Engineers (MLEs), and operators to deliver highly impactful solutions that also drive significant revenue for our business.
Responsibilities
- Lead design workshops with clients to define custom AI solutions.
- Scope out new AI application use cases across various government entities.
- Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering, Operations, Go-to-Market).
- Consistently engage with future end-users to solicit feedback and ensure effective prioritization.
- Stay up to date with the latest research in applied AI and custom LLM training.
- Scope out model evaluation sets and performance requirements, consistently review results, and iterate on solutions.
- Provide regular progress updates to clients and International Public Sector leadership.
Minimum Qualifications
- 4+ years of experience building products, with specific experience within the last 1-2 years building AI-powered products.
- Strong technical background (STEM degree) and/or experience building technical software products.
- Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings.
- Experience with code collaboration/”vibe coding” tools (e.g., Replit, Lovable, Bolt) and design tools (e.g., Figma, Canva, Miro).
- Exceptional leadership, presentation, and communication skills, with the ability to influence cross-functional teams.
Nice to Haves
- Coding experience (Python).
- Proficiency in Arabic, both written and spoken.
Key Skills/Competency
- AI Applications Development
- Product Leadership
- Generative AI
- Large Language Models (LLMs)
- Cross-functional Team Leadership
- Client Engagement
- Software Engineering Principles
- Strategic Planning
- User Feedback Integration
- Project Ownership
How to Get Hired at Scale AI
- Research Scale AI's mission: Understand their commitment to reliable AI systems for critical decisions and their work with government entities.
- Tailor your resume for AI Product Management: Highlight your 4+ years in product, especially the 1-2 years building AI-powered products and experience with GenAI technologies.
- Showcase technical acumen: Emphasize your STEM background, software engineering understanding, and any coding experience, particularly Python.
- Prepare for cross-functional leadership questions: Be ready to discuss how you've led diverse teams (Engineering, MLEs, Ops) to deliver complex AI solutions.
- Demonstrate client engagement skills: Practice articulating how you define custom AI solutions, gather user feedback, and manage stakeholder communication for international public sector projects.
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