Product Engineer

Overview

Product Engineer role at TechnologyAdvice focused on identifying business problems, building solutions, and owning outcomes from discovery through measurable impact.

What you'll do

• Use AI-assisted development practices to rapidly prototype, validate, and ship production-ready solutions.
• Work directly with business stakeholders and Product to understand business problems, user needs, constraints, and desired outcomes.
• Proactively identify opportunities to improve business outcomes by engaging stakeholders, examining data, questioning existing processes, and investigating problems.
• Take ownership of problems from solution definition through implementation, deployment, measurement, and iteration.
• Build and maintain full-stack applications, backend services, automations, data workflows, and internal tools that create business value.
• Understand how your work connects to measurable outcomes such as revenue, cost, speed, quality, capacity, risk, or customer experience.
• Use data, feedback, and product analytics to determine whether shipped solutions are producing the intended results.
• Exercise sound technical judgment and know when a decision requires additional input because of its complexity, risk, or long-term implications.
• Work directly with cloud infrastructure and edge platforms, including AWS and Cloudflare.
• Monitor, troubleshoot, and improve system reliability, observability, performance, and operational excellence.
• Participate thoughtfully in code reviews and contribute to high engineering standards.
• Continuously experiment with new technologies, AI capabilities, and development practices that can increase your effectiveness and autonomy.
• Develop the business, product, and technical judgment required to independently own increasingly ambiguous and high-impact problems.
• Evaluate potential solutions based on expected business impact, effort, risk, and uncertainty.
• Help prioritize opportunities and recommend when to build, buy, automate, experiment, or take no action.
• Design small experiments, prototypes, or validation approaches to test assumptions and reduce uncertainty before investing in larger solutions.

What you'll need

• Demonstrated ability to understand a business or user problem and translate it into a practical technical solution.
• Experience owning software through implementation, deployment, and iteration rather than considering the work complete when code is merged.
• Ability to collaborate directly with stakeholders, ask effective questions, challenge assumptions constructively, and incorporate business context into technical decisions.
• Curiosity about how the business works and a desire to understand the outcomes your work is intended to create.
• Ability to operate with increasing independence while recognizing when additional context, expertise, or alignment is needed.
• Demonstrated use of AI-assisted development tools to improve the speed, quality, or scope of software development.
• Ability to critically evaluate, test, and refine AI-generated code rather than treating AI output as inherently correct.
• Interest in continually evolving your engineering workflow as AI capabilities improve.
• Strong engineering fundamentals that allow you to use AI as leverage without compromising security, reliability, performance, or maintainability.
• Experience building and maintaining production web applications.
• Comfortable working within modern application frameworks such as Laravel or similar.
• Experience working with relational databases and writing queries both within and outside of ORMs.
• Working knowledge of cloud infrastructure such as AWS, Cloudflare, or similar platforms.
• Proficiency with Git-based development workflows, code reviews, CI/CD pipelines, and automated deployment practices.
• Ability to troubleshoot production systems and reason across application, data, and infrastructure layers.
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Comfortable working in a globally distributed, remote-first organization.
• Willingness to seek context directly from the people closest to a problem rather than relying solely on written requirements.
• Receptive to feedback and able to incorporate new information quickly.
• Self-driven and accountable for delivering results.

Nice to have

• Experience building AI-powered products using LLM APIs, embeddings, RAG architectures, agent frameworks, or related technologies.
• Experience with experimentation and product analytics platforms such as PostHog or similar tools.
• Familiarity with our core technology stack, including PHP, Python, TypeScript, Laravel, Astro, Cloudflare, and AWS.
• Experience with infrastructure-as-code, containerization, or other modern platform engineering practices.
• Experience building software that improves internal operations, automates manual workflows, or directly affects business performance.

Details

• Location: United States.
• Remote work; all positions are open to remote work unless otherwise specified.
• Employer work visa sponsorship and support are not provided. Applicants must be currently authorized to work in the United States at hire and maintain that authorization throughout employment.
• Pre-employment screening required.