AI-Native Product Engineer

Role Overview

• 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