AI-Native Product Engineer
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Job Description
Senior AI-Native Product Engineer at Cyclotron, overseeing product development from concept to implementation. Collaborating in a remote work environment focusing on SaaS architecture and AI tools.
Responsibilities:
- Own product areas from broad business goals through discovery, design, implementation, testing, and iteration.
- Translate ambiguous objectives into clear user workflows, product requirements, technical plans, and implementation steps.
- Question unclear requirements, identify missing pieces, surface risks and edge cases, and propose better product or technical approaches when appropriate.
- Design and build polished, intuitive SaaS workflows, including dashboards, tables, filters, forms, detail views, configuration experiences, empty states, loading states, and error states.
- Make thoughtful architecture decisions across data models, APIs, frontend architecture, backend architecture, permissions, integrations, state management, scalability, security, and maintainability.
- Use AI-assisted development tools to accelerate coding, refactoring, debugging, test creation, documentation, and architectural exploration.
- Critically review, validate, debug, and test AI-generated code to ensure production-quality implementation.
- Communicate clearly and proactively about requirements, architecture, tradeoffs, implementation status, open questions, risks, and blockers.
- Drive work forward independently while collaborating effectively with product, engineering, design, and business stakeholders.
Requirements:
- Senior-level engineering experience with the ability to design, build, validate, and improve production software
- Strong product judgment, including the ability to understand users, workflows, pain points, business outcomes, and success criteria
- Demonstrated ability to operate in ambiguity, ask clarifying questions, challenge assumptions respectfully, and make progress without highly detailed tickets
- Advanced fluency with AI-assisted development tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar environments
- Strong technical judgment across SaaS architecture, including data modeling, API design, frontend and backend design, permissions, integrations, scalability, error handling, maintainability, and security considerations
- Solid understanding of modern SaaS UX patterns and the ability to build interfaces that feel intuitive, polished, and product-quality
- Excellent written communication skills, with the ability to explain reasoning, tradeoffs, risks, blockers, and decisions clearly and concisely
- Ownership mindset with the ability to act as a force multiplier for the product and engineering organization
Benefits:
- Health, dental, and vision insurance
- 100% coverage of employee medical premiums
- Generous and flexible paid time off (PTO)
- Retirement plan options
- Ongoing training opportunities
- Flexible work arrangements
- Robust wellness programs
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