
AI Product Manager
Unframe · Tel Aviv-Yafo, Tel Aviv District, Israel
- On site
- Full-time
- $130,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
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Subject: Interested in the AI Product Manager role at Unframe
Hi Avery — I came across the AI Product Manager opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Unframe stood out because…
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Job highlights
- Manage AI product delivery for enterprise customers.
- Translate customer needs into AI solutions.
- Collaborate with engineering and AI specialists.
- Define product specs and prioritize requirements.
- Shape AI-powered applications for global clients.
About the role
About Us
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.
About The Role
As an AI Product Manager on our team, you’ll work directly with customers and internal teams to define, scope, and deliver AI-powered solutions using Unframe’s platform. You’ll bridge product thinking with real-world use cases, enabling fast, reliable delivery of custom solutions built on a shared core. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.
This is an opportunity to work with top-tier global customers and solve real, high-impact problems.
What You’ll Do
- Translate customer problems into structured solution plans using Unframe.ai’s platform.
- Own the delivery of end-to-end projects in collaboration with engineers and AI specialists.
- Write detailed specs and define prompt/context structures for solution logic.
- Prioritize requirements and manage tradeoffs across speed, stability, and scope.
- Work closely with the Platform team to surface 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.
- Experience working closely with engineering teams and technical products.
- Ability to manage complex projects with multiple moving parts.
- Strong written communication, systems thinking, and attention to detail.
- Fluent English speaker - written and verbal communication must be excellent.
- Comfortable working 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 working with customers in finance, cybersecurity, or operations.
Key skills/competency
- AI Product Management
- LLM Applications
- Enterprise Software
- Technical Delivery
- Prompt Engineering
- Customer Collaboration
- Solution Design
- Agile Methodologies
- Product Strategy
- AI Tools
Skills & topics
- AI Product Manager
- Product Management
- AI
- LLM
- Enterprise Software
- Technical Delivery
- Prompt Engineering
- Startup
- Full-time
- Tel Aviv
How to get hired
- Tailor your resume: Highlight AI product management, technical delivery, and customer-facing experience, using keywords from the job description.
- Showcase AI/LLM familiarity: Emphasize any experience with prompt engineering, LLMs, or enterprise AI tools in your application.
- Quantify achievements: Use numbers to demonstrate impact in previous product management or technical delivery roles.
- Prepare for technical and behavioral questions: Be ready to discuss AI solutions, project management, and collaboration.
- Research Unframe's mission: Understand their focus on rapid LLM application deployment for enterprises.
Technical preparation
Behavioral questions
Frequently asked questions
- What does an AI Product Manager at Unframe do?
- An AI Product Manager at Unframe translates customer problems into structured AI solutions using Unframe.ai's platform, owns end-to-end project delivery with engineering and AI specialists, writes detailed specs, defines prompt structures, prioritizes requirements, and acts as the voice of the user.
- What are the key requirements for the AI Product Manager role at Unframe?
- Key requirements include 4+ years in product management or technical delivery, experience with engineering teams and technical products, strong project management skills, excellent communication, systems thinking, attention to detail, and comfort in fast-paced environments.
- What specific AI or LLM experience is beneficial for this role at Unframe?
- Familiarity with prompt engineering, Large Language Models (LLMs), or component-based systems is beneficial. Prior background in enterprise software, AI tools, or internal platforms is also a plus.
- Does Unframe offer remote work for their AI Product Manager positions?
- Based on the job description, this AI Product Manager role requires on-site work from their Tel Aviv office. Collaboration is emphasized as closely knit within the office environment.
- What is Unframe's funding status and who are their investors?
- Unframe is an AI-first startup backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding. They focus on helping enterprises deploy LLM-powered applications rapidly.
- How does Unframe differentiate itself in the AI solutions market?
- Unframe combines the speed of a product company with the flexibility of a consultancy, enabling customers to move from idea to deployed AI systems faster than competitors, working with Fortune 500 clients globally.
- What kind of customers does Unframe work with?
- Unframe works with the world's largest enterprises and Fortune 500 customers globally. Experience with customers in finance, cybersecurity, or operations is considered a plus for this role.
- What are the 'Nice to Have' qualifications for the AI Product Manager at Unframe?
- Nice-to-have qualifications include a background in enterprise software, AI tools, internal platforms, familiarity with prompt engineering, LLMs, component-based systems, and experience with customers in finance, cybersecurity, or operations.
