Product Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer (AI / Full-Stack) based in Canada.

This is a high-autonomy product engineering role for someone who enjoys taking ambiguous customer problems from discovery through production.

• Take ownership of customer problems end to end, from understanding the underlying need and exploring solutions to building, shipping, and validating the resulting product experience.
• Work across the full product stack, including Rails APIs, React and TypeScript interfaces, realtime experiences, video streaming, voice agents, analytics, and AI-powered functionality.
• Engage directly with customers through conversations, support interactions, interview transcripts, and product data to build a deep understanding of their needs and challenges.
• Rapidly prototype potential solutions, test assumptions, and use evidence to determine which approaches are worth developing further.
• Make thoughtful product and UX decisions independently, balancing customer needs, usability, technical quality, and long-term scalability.
• Design and implement maintainable solutions using appropriate technical primitives while minimizing unnecessary bespoke complexity.
• Build, deploy, monitor, and maintain production systems, taking responsibility for their performance and outcomes after launch.
• Use AI agents and coding assistants throughout the development lifecycle, including research, planning, prototyping, implementation, testing, and QA.
• Evaluate AI-generated output critically, break complex work into effective tasks, and remain accountable for the quality and reliability of everything that ships.
• Collaborate closely with founders, Product, Design, and Engineering to influence product direction and identify opportunities for innovation.
• Contribute to a fast-moving engineering culture built around automation, strong documentation, rapid iteration, clear communication, and high individual accountability.
• Progress toward ownership of a significant product surface, becoming deeply knowledgeable about its customers, performance, roadmap, and future direction.

• Approximately 5+ years of professional software engineering experience with significant ownership of production products or features.
• Strong full-stack engineering capabilities, including expertise in both API/backend development and modern frontend development.
• Professional experience with Rails and TypeScript/React is preferred, although equivalent experience with other technologies can be considered.
• Proven experience building, deploying, and maintaining production systems, including learning from real-world usage after launch.
• Hands-on experience with LLM-powered functionality is highly desirable, particularly experience understanding the operational considerations of running AI features in production.
• Daily experience using AI coding tools or agentic development environments such as Claude Code, Codex, Cursor, or similar platforms, with strong opinions about effective workflows.
• Strong product sense and demonstrated ability to independently determine what should be built, make sound UX decisions, and explain the reasoning behind them.
• Customer-centric mindset, with a willingness to speak with users, analyze customer feedback, review transcripts, and use product data to guide decisions.
• Strong written communication skills, particularly important in a remote and async-heavy environment.
• Excellent judgment when breaking work into manageable pieces, evaluating AI-generated output, balancing speed with quality, and taking ownership of results.
• High autonomy, resourcefulness, curiosity, and comfort working through ambiguity and shifting priorities.
• Ability to operate effectively in a low-ceremony, high-accountability environment where engineers are expected to unblock themselves.
• Willingness to embrace AI as a core part of the engineering workflow rather than treating it as an occasional productivity tool.

• Competitive compensation of CA$150,000–CA$180,000.
• Equity participation.
• Full-time employment with comprehensive benefits.
• Fully remote work from anywhere in Canada.
• Flexible working arrangements, with the team generally operating around Pacific Time hours.
• 4 weeks of paid time off.
• Annual team offsite, with recent events including San Diego.
• Brand-new MacBook Pro.
• Generous access to AI model and coding-tool credits.
• Freedom to use modern technologies and vendors.
• Opportunity to work directly on cutting-edge AI and agentic product experiences.
• High-trust, high-autonomy remote culture with minimal bureaucracy.
• Strong customer-focused and collaborative team environment.
• Opportunities to shape product strategy, engineering practices, and a growing AI-native organization.