Staff Software Engineer, Python

Accountabilities:

• • Architect and scale an incrementality product into a reliable, repeatable experimentation platform, owning the technical decisions required for long-term scalability.
  • Define the technical direction for near-real-time data ingestion and processing as systems evolve beyond batch-oriented workflows.
  • Establish patterns and frameworks for AI-powered workflows that help users evaluate performance and turn insights into actionable decisions.
  • Lead the development of connection-state systems and partner ecosystem capabilities across data ingestion and exports.
  • Shape technical approaches for adjacent product areas, including role-based access control and other cross-functional capabilities.
  • Take complex product initiatives from ambiguous requirements through architecture, implementation, and production.
  • Partner closely with Product, Design, and Data Science to influence product direction and translate business needs into scalable technical solutions.
  • Make architectural decisions that account for reliability, maintainability, performance, and future scale.
  • Contribute across backend, frontend, data pipelines, and infrastructure when required by the product.
  • Mentor engineers, participate in design and architecture reviews, and raise the quality and technical standards of the engineering organization.
  • Help improve engineering practices, team processes, and the overall effectiveness of technical delivery.

  Requirements

  • 8+ years of experience designing and building distributed backend systems, microservices, APIs, and/or data processing systems using Python.
  • Deep experience owning system architecture and making complex technical tradeoffs that emerge as systems scale.
  • Proven ability to partner with Product Managers, Designers, and Data Scientists to shape product direction as well as technical implementation.
  • Experience in a startup or similarly fast-paced environment requiring breadth, sound judgment, autonomy, and strong problem-solving skills.
  • Demonstrated ability to transform ambiguous product requirements into robust technical architectures and production-ready solutions across multiple problem spaces.
  • Strong ability to navigate complex datasets and interconnected data structures to investigate issues, trace dependencies, and determine effective solutions.
  • Working experience with React and TypeScript; deep frontend specialization is not required.
  • Strong software engineering fundamentals and the ability to use AI tools as development accelerators without relying on them in place of core engineering expertise.
  • Generalist mindset with willingness to work across backend systems, frontend applications, data pipelines, and infrastructure.
  • Strong understanding of data-intensive systems and distributed architectures.
  • Experience mentoring engineers, conducting design reviews, and improving team engineering practices.
  • Ability to operate effectively in ambiguous situations and take ownership of complex technical problems from start to finish.

  Benefits

  • Remote position available in Canada.
  • Base salary range of $190,000–$220,000 USD, with actual compensation varying based on experience, skills, and location.
  • Equity package in addition to base compensation.
  • Comprehensive healthcare benefits, including medical, dental, and vision coverage.
  • 401(k) plan.
  • Flexible paid time off policy.
  • 12 company-paid holidays.
  • 12 weeks of paid parental leave.
  • $500 work-from-home stipend to support a remote working setup.
  • Opportunity to influence the architecture and technical direction of data-intensive products at significant scale.
  • Collaborative environment with close partnerships across Engineering, Product, Design, and Data Science.
  • Opportunity to mentor engineers and contribute to technical standards, architecture, and team development.
  • Candidates must be able to perform the role from Canada or the United States and be authorized to work in the applicable country.