Role in brief
Cube Dev is seeking a Product Engineer to develop AI-powered data and analytics features. This role involves taking product ideas from concept to production, focusing on user value and practical AI applications. It suits a hands-on engineer with a strong product mindset who thrives in a remote, asynchronous environment and is passionate about AI and data.
About the role
This role at Cube Dev centers on bringing new product ideas to life, specifically those related to AI and agent-powered experiences within data and analytics. The Product Engineer will be responsible for both defining what to build and executing its development, translating user needs and business objectives into functional software. This involves exploring potential AI use cases and integrating the most promising ones into the core product.
The position requires rapid iteration based on user feedback, usage data, and personal product judgment. Success in this role means consistently delivering core product features that enhance how organizations manage and utilize data, analytics, and AI. The engineer will work closely with product and engineering teams, making swift technical decisions to advance the company's mission of enabling agentic analytics.
Cube Dev aims to redefine data delivery and automation, allowing AI agents to collaborate with humans on a unified semantic foundation. The Product Engineer contributes directly to this vision by building features that empower AI agents and improve data consumption. The environment is fast-paced and remote, requiring a proactive individual comfortable with ambiguity and independent ownership of production code.
The salary for this position ranges from $80,500 to $138,000 annually.
Who this role suits
- You possess a strong product mindset, consistently focusing on user value and desired outcomes.
- You are a hands-on engineer who enjoys owning the development and deployment of production-ready code.
- You are genuinely enthusiastic about artificial intelligence, agents, and the data and analytics domain.
- You are comfortable navigating uncertainty and actively participate in shaping problems as well as solving them.
From the employer
- 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.
- 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.
- Fully remote company based in San Francisco.
- Work from anywhere and join our highly collaborative team.
Questions about this role
What is the remote work policy for this role?
This is a fully remote position, and candidates can work from anywhere globally.
What is the seniority level for this position?
This role is designated for a middle-seniority professional.
How does the company use AI in its products?
Cube Dev is focused on enabling Agentic Analytics, where AI agents work with humans on a shared semantic foundation to deliver, consume, and automate data and analytics.