AI-Native Product Engineer

Job Type: FTE
Level: Senior
Department: Product Team
Location: Remote (US or Canada)
Rate: $120,000-$150,000 (rates vary in Canada)

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.
The ideal candidate can understand user needs, define effective workflows, make sound SaaS architecture decisions, use AI tools to accelerate high-quality development, validate and test generated code, communicate clearly, and move work forward independently in ambiguous environments.

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.

Additional Knowledge & Skills
- 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,