AI Product Manager
Unframe
Job Overview
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Job Description
About Unframe
At Unframe, we build AI-powered products that address real-world challenges. Our platform team develops the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.
What You'll Do
As an AI Product Manager at Unframe, you will directly work with customers and internal teams to define, scope, and deliver AI-powered solutions using Unframe’s platform. You will bridge product thinking with real-world use cases, ensuring fast and reliable delivery of custom solutions built on a shared core.
- Translate customer problems into structured solution plans.
- Own end-to-end project delivery with engineering and AI teams.
- Write detailed specs and define prompt/context structures.
- Prioritize requirements, balancing speed, stability, and scope.
- Collaborate with the Platform team on reusable product patterns.
- Serve as the voice of the user, from enterprise operators to domain experts.
Requirements
- 4+ years of experience in product management or technical delivery roles.
- Proven ability working with engineering teams on technical products.
- Experience managing complex projects with multiple moving parts.
- Strong written communication, systems thinking, and attention to detail.
- Fluent in English, both written and verbal.
- Comfortable in fast-paced environments with evolving requirements.
Nice to Have
- Background in enterprise software, AI tools, or internal platforms.
- Familiarity with prompt engineering, LLMs, or component-based systems.
- Experience with customers in finance, cybersecurity, or operations.
Key skills/competency
Product Management, AI, Technical Delivery, Customer Focus, Specifications, Collaboration, Prompt Engineering, System Thinking, Project Management, Communication
How to Get Hired at Unframe
- Research Unframe's culture: Learn about their AI products and mission.
- Customize your resume: Highlight product management and tech delivery skills.
- Prepare real-life examples: Focus on complex project management.
- Practice technical questions: Focus on AI integration and product specs.
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