Principal Software Engineer, Product Engineering

• Own and drive complex, company-critical technical initiatives across multiple teams and organizations, delivering measurable customer and business outcomes at scale.

• Define long-term technical strategies, architectural direction, and implementation roadmaps in partnership with senior engineering, product, and business leaders.

• Identify and solve ambiguous, high-impact technical and product challenges, influencing both what gets built and how solutions are developed, deployed, and maintained.

• Remain actively involved in software development, designing and implementing critical system components, developing prototypes, reviewing code, and addressing foundational engineering challenges.

• Architect, evolve, and scale foundational platforms and systems across frontend and backend technologies to support new product capabilities and reliable experiences for hundreds of millions of users.

• Drive alignment across organizational boundaries, influence technical roadmaps, remove structural bottlenecks, and improve engineering processes and execution standards.

• Lead the responsible adoption of AI technologies across customer-facing products and internal engineering workflows, identifying opportunities to improve productivity, user value, and innovation.

• Apply modern machine learning, large language model (LLM) APIs, and agentic frameworks to production systems while balancing quality, performance, cost, security, and risk.

• Establish and reinforce engineering excellence through sound technical judgment, architectural consistency, operational rigor, and scalable development practices.

• Act as a trusted technical advisor to senior leadership, clearly communicating complex trade-offs and guiding decisions on major technical investments and product priorities.

• Foster a culture of ownership, experimentation, adaptability, and continuous improvement within a distributed engineering organization.

Requirements

• An advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent professional experience demonstrating deep technical expertise.

• At least 15 years of experience designing, building, and evolving large-scale software systems, with a proven record of sustained impact across multiple teams or organizations.

• Demonstrated experience operating at Principal Engineer level or equivalent, owning company-critical technical challenges and influencing long-term engineering strategy.

• Extensive experience developing and scaling consumer-facing products, with a strong understanding of user experience, system performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple engineering domains, including several of the following: frontend development, mobile systems, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern machine learning, LLM-based APIs, and agentic frameworks in production environments, with the ability to evaluate their benefits, limitations, costs, and risks.

• Strong architectural and system-design capabilities, including the ability to establish technical direction and build foundational platforms adopted across multiple teams.

• Excellent communication skills, with the ability to explain complex technical concepts, influence senior engineering and product leaders, and build alignment with executive stakeholders.

• Strong problem-solving skills and sound judgment when making decisions in ambiguous, high-stakes technical environments.

• Adaptability and a growth mindset, with the ability to learn continuously, navigate evolving technologies, and adjust strategies as business and customer needs change.

• A collaborative leadership style focused on building trust, mentoring others, encouraging experimentation, and taking ownership of outcomes.

• A commitment to responsible AI adoption, including protecting sensitive data, validating AI-generated outputs, maintaining quality standards, and using approved tools thoughtfully.

Preferred Qualifications:

• Experience defining, building, and scaling company-wide platforms, shared services, or architectural standards adopted across multiple organizations.

• A proven track record of introducing emerging technologies, particularly AI and machine learning, into core products or engineering workflows with lasting business impact.

• Experience working in globally distributed, remote-first engineering organizations, with strong asynchronous communication and collaboration practices.

• Demonstrated ability to use AI tools to enhance human judgment, improve productivity, support experimentation, and increase individual and team impact.

• Experience balancing technical innovation with long-term maintainability, organizational priorities, and measurable customer value.

Benefits

• Competitive compensation: Access a competitive annual salary or on-target earnings package. The specific compensation range is not included in the provided job description.

• Performance-based rewards: Eligibility for a corporate bonus program and company stock in the form of Restricted Stock Units (RSUs), subject to applicable compensation policies.

• Remote-first flexibility: Work remotely from eligible Canadian provinces, with autonomy over your schedule and support for different working styles. Hiring for this role is currently limited to Alberta, British Columbia, Ontario, and Saskatchewan.

• Work-life balance: Benefit from flexible schedules, asynchronous collaboration, and designated collaboration hours that support focused, independent work.

• Intentional team connection: Participate in regular team gatherings, in-person offsites, and local community events designed to strengthen relationships and encourage collaboration.

• Professional growth: Access opportunities to develop your technical expertise, explore emerging technologies, and expand your impact alongside experienced colleagues.

• High-impact engineering work: Influence foundational systems, AI-powered product capabilities, and technical strategies supporting products used by hundreds of millions of people.

• Autonomy and ownership: Take responsibility for meaningful technical initiatives in an environment that encourages independent thinking, experimentation, and end-to-end accountability.

• Collaborative culture: Work with multidisciplinary teams across engineering, product, and business functions in an environment that values open communication, curiosity, and mutual respect.

• Travel support and planning: Expect approximately 5–10% travel for team offsites and other gatherings, typically two to three days per quarter, with advance notice where possible.

• Inclusive workplace: Join an equal-opportunity environment committed to fostering belonging, supporting diverse perspectives, and providing equitable access to opportunities.

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!

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