Product Engineer

Cube is redefining how organizations deliver, consume, and automate data and analytics. As a Product Engineer, you'll take product ideas from spark to production, combining strong product instincts with hands-on engineering to create AI-driven products.

Responsibilities:

• Take product ideas from concept to production — owning both the "what" and the "how."
• Build, prototype, and ship core product features, with a focus on AI- and agent-powered experiences
• Turn user needs and business goals into pragmatic, working software
• Explore practical AI use cases and turn the most promising ones into real product value
• Make fast, sound technical decisions in close partnership with engineering and product
• Iterate quickly based on user feedback, usage data, and your own product judgment

Requirements:

• You have a strong product mindset — you think in terms of user value, outcomes, and what's actually worth building
• You're a hands-on engineer, comfortable owning and shipping production code
• You're genuinely excited about AI, agents, and the data and analytics space — and want to build in it
• You're comfortable with ambiguity and enjoy shaping problems as much as solving them
• You're a strong communicator who thrives in a remote, async team
• You're fluent in English
• Experience building data, analytics, or AI products
• Background in startups or scale-ups with hybrid or fast-evolving roles
• Practical experience with AI technologies, LLMs, or agent-based systems
• Familiarity with modern backend architectures, cloud platforms, or distributed systems
• Contributions to open-source or public technical projects