Remote AI-Powered Product Engineer

TechnologyAdvice; Oregon; Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Remote-First Culture

Health Coverage

401K with Match

Paid Parental Leave

Wellness Perks

Job summary

TechnologyAdvice is seeking a Product Engineer to contribute to AI-enabled product development in a remote-first environment. You will partner with Product and stakeholders to define problems, design practical solutions, and own the delivery lifecycle from prototype to production.

Expect to explore automation, data-driven decisions, and measurable business impact. The role emphasizes ownership, collaboration, and continuous experimentation with modern tooling and AI-assisted workflows to improve

Qualifications

• Demonstrated ability to translate business problems into technical solutions.
• Experience owning software through deployment and iteration.
• Willingness to work in a remotely distributed, remote-first environment.
• Curiosity about how the business works and outcomes.

Responsibilities

• Use AI-assisted development to prototype, validate, and ship solutions.
• Collaborate with stakeholders to understand problems, needs, constraints, and outcomes.
• Identify opportunities to improve business outcomes by analyzing data and processes.
• Own problems from definition through deployment, measurement, and iteration.
• Build and maintain production web apps, backend services, and automation.

Skills

AI-assisted engineering

Stakeholder collaboration

Ownership mindset

Problem solving

Experimentation

Tools

AWS

Cloudflare

Laravel

Git workflows

CI/CD

Python

TypeScript

Job description

TechnologyAdvice is seeking a Product Engineer to contribute to AI-enabled product development in a remote-first environment. You will partner with Product and stakeholders to define problems, design practical solutions, and own the delivery lifecycle from prototype to production.

Expect to explore automation, data-driven decisions, and measurable business impact. The role emphasizes ownership, collaboration, and continuous experimentation with modern tooling and AI-assisted workflows to improve