AI-Native Product Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-Native Product Engineer based in United States.

We are seeking a senior product-focused engineer who can take full ownership of a product area, transforming broad business goals into intuitive, scalable, and high-quality software solutions. This role combines product thinking, technical leadership, and AI-powered engineering practices to drive innovation from discovery through delivery. The ideal candidate thrives in ambiguous environments, understands user needs, and can independently define workflows, architecture, and implementation strategies. You will work closely with cross-functional teams to build modern SaaS experiences while leveraging advanced AI tools to accelerate development. This is an opportunity for an experienced engineer to operate with the mindset of a founding engineer and make a meaningful impact on product direction and technical excellence.

Accountabilities:

The AI-Native Product Engineer will own product initiatives end-to-end, combining engineering expertise with strong product judgment to deliver impactful solutions. The role requires the ability to translate unclear business objectives into clear workflows, technical plans, and polished user experiences while collaborating with product, design, engineering, and business stakeholders.

• Own product areas from discovery and definition through design, implementation, testing, and continuous iteration.
• Translate ambiguous goals into user workflows, product requirements, technical strategies, and execution plans.
• Identify gaps, risks, edge cases, and opportunities to improve product and technical approaches.
• Design and develop intuitive SaaS experiences, including dashboards, tables, forms, configuration flows, detail views, and user states.
• Make sound architecture decisions across data models, APIs, frontend and backend systems, permissions, integrations, scalability, security, and maintainability.
• Use AI-assisted development tools to accelerate coding, debugging, refactoring, documentation, testing, and technical exploration.
• Review, validate, and improve AI-generated code to ensure production-quality standards.
• Communicate clearly about technical decisions, tradeoffs, progress, risks, and blockers while independently driving initiatives forward.

Requirements:

The ideal candidate is a senior engineer with strong product instincts, advanced technical capabilities, and the ability to deliver high-quality software in fast-moving and uncertain environments. You should be comfortable owning the full lifecycle of a product area and using AI tools as a core part of your engineering workflow.

• Senior-level software engineering experience with a track record of building, validating, and improving production applications.
• Strong product mindset with the ability to understand users, workflows, business outcomes, and success metrics.
• Proven ability to work effectively in ambiguous environments, challenge assumptions, ask thoughtful questions, and create clarity.
• Advanced experience with AI-assisted development tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar platforms.
• Ability to effectively orchestrate AI tools for development, architecture exploration, testing, debugging, and rapid iteration.
• Strong technical judgment across SaaS architecture, including APIs, databases, frontend and backend systems, permissions, integrations, scalability, security, and maintainability.
• Experience building polished, user-friendly SaaS interfaces and understanding modern UX patterns.
• Excellent written communication skills with the ability to clearly explain decisions, tradeoffs, risks, and technical concepts.
• Ownership mindset with the ability to act as a multiplier for product and engineering teams.
• Ability to define workflows, data models, permissions structures, user interactions, edge cases, and implementation strategies from high-level objectives.
• Strong understanding of SaaS operational concepts such as multi-tenancy, auditability, notifications, dashboards, readiness tracking, and administrative workflows.
• Ability to balance MVP delivery with long-term scalability, usability, performance, and security considerations.

Benefits:

The role offers a flexible remote environment with competitive compensation and benefits designed to support professional growth and employee well-being.

• Competitive salary range of $120,000–$150,000 USD equivalent, with rates adjusted for Canada.
• Fully remote work environment with flexible work arrangements.
• Comprehensive health, dental, and vision insurance coverage.
• Employer coverage of employee medical premiums.
• Flexible paid time off (PTO) policies.
• Retirement plan options.
• Professional development opportunities and ongoing training.
• Wellness programs focused on supporting work-life balance.
• An inclusive and collaborative environment that values diverse perspectives and continuous learning.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.