[Remote] AI-Native Product Engineer

Note: The job is a remote job and is open to candidates in USA. Cyclotron is a Microsoft Solutions Partner focused on the modern workplace, data, and AI. The company is seeking a senior, product-minded, AI-native engineer to own product areas end-to-end, from ambiguous business objectives through product definition, architecture, implementation, testing, and iteration. The role involves designing polished SaaS workflows, using and validating AI-assisted development tools, making architecture decisions, and collaborating independently with product, engineering, design, and business stakeholders.

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

Skills

• 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
• Ability to orchestrate AI tools effectively rather than treating them as simple autocomplete or boilerplate generators
• 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
• Ability to define product workflows, key screens, data models, permissions models, user actions, edge cases, and implementation approaches from vague product goals
• Experience using AI for code generation, architecture comparison, debugging, refactoring, test creation, documentation, and rapid iteration
• Ability to identify hallucinations, flawed logic, architectural gaps, and quality issues in AI-generated output
• Strong instincts around SaaS admin workflows, multi-tenant considerations, auditability, notifications, readiness tracking, executive summaries, and operational dashboards
• Comfort evaluating tradeoffs between MVP scope, future scale, usability, performance, security, and maintainability
• Ability to communicate asynchronously with clarity, structure, and appropriate context for technical and non-technical stakeholders
• This role is not a fit for someone who requires fully defined requirements, avoids ambiguity, cannot explain architectural decisions, has weak written communication, or cannot use AI tools at an advanced level
• Strong candidates will show evidence of owning product, UX, architecture, and implementation together, rather than operating only as a backend, frontend, or ticket-based individual contributor

Benefits

• A comprehensive benefits package designed to support employees’ well-being and professional growth in a fully remote work environment.
• Competitive 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.

Company Overview

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