Own and evolve core systems and product workflows that support the launch of new customer-facing products
Partner closely with Product, Design, Data Science, and other Engineering teams to bring new ideas from concept to production
Contribute to scalable, reliable, and high-quality software that can support rapid growth and increasing complexity
Drive projects end-to-end, from early design and architecture through delivery and iteration
Uphold high standards for performance, reliability, security, and maintainability
Contribute to a strong, collaborative, and inclusive engineering culture
Execution & Delivery: Build, ship, and iterate on new features and products that directly impact customer workflows. Start contributing production code quickly and help establish strong foundations for new systems
Architecture & Quality: Design, implement, and maintain scalable and maintainable backend, frontend, or full-stack systems. Write high-quality, well-tested, and production-ready code. Help define and reinforce engineering best practices as the team scales
Cross-Functional Collaboration: Work closely with Product Managers, Designers, Data Scientists, and other Engineers to scope and deliver impactful solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders
Ownership & Growth: Own projects from start to finish and drive them across the finish line. Mentor and support teammates, contributing to continuous learning and improvement. Learn and apply new technologies across the stack, including ML-adjacent systems, data pipelines, and DevOps workflows

Requirements

Experience building high-quality, production-ready software in backend, frontend, or full-stack environments
Strong understanding of software design, data modeling, and system architecture
Ability to operate effectively in fast-paced, ambiguous environments
Proven ability to own projects end-to-end and deliver meaningful outcomes
Clear, thoughtful communication and strong cross-functional collaboration skills
High ownership, accountability, and a bias toward action
Demonstrated commitment to engineering excellence and team culture
Bonus (Nice to Have): Experience with Kubernetes or cloud-native infrastructure
Bonus (Nice to Have): Exposure to machine learning, data engineering, or AI-driven products
Bonus (Nice to Have): Prior experience in startups, scale-ups, or high-growth environments

Benefits

Choice of medical, dental, and vision insurance plans for you and your family
Additional insurance coverage options for life, accident, or critical illness
Flexible paid time off, sick leave, short-term and long-term disability
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees and RRSP for Canada-based employees
Paid parental leave
A local in-person meet-up program
Hubs in San Francisco and Toronto

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

software designdata modelingsystem architectureproduction-ready softwarebackend developmentfrontend developmentfull-stack developmentengineering best practicesmachine learningdata engineering

Soft skills

cross-functional collaborationclear communicationownershipaccountabilitybias toward actionmentorshipcontinuous learningteam cultureproblem-solvingadaptability