Position Overview
We are seeking a rare hybrid profile: a senior, product-minded, AI-native engineer who can own a product area end-to-end, from a vague business objective through thoughtful product definition, technical design, implementation, testing, and iteration. This person should operate less like a ticket-based contractor and more like a founding engineer assigned to a product area.
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.
Qualifications
- 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.
About the Company
Cyclotron is a Microsoft Solutions Partner focused on the modern workplace, data, and AI. We are dedicated to empowering clients to streamline operations and achieve their business goals. The company fosters a collaborative and inclusive environment, encouraging continuous learning and professional growth for its employees.
What We Can Offer
Cyclotron offers a comprehensive benefits package designed to support our employees’ well-being and professional growth in a fully remote work environment. We provide competitive health, dental, and vision insurance, and we cover 100% of employee medical premiums. Our team members benefit from generous and flexible paid time off (PTO), retirement plan options, and ongoing training opportunities. Additionally, Cyclotron promotes work-life balance with flexible work arrangements and robust wellness programs, creating a rewarding and supportive workplace for all.