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, 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
• Strong candidates will show evidence of owning product, UX, architecture, and implementation together, rather than ope…