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Algolia

Software Engineer, Growth

Remote - United States (Remote)From $196.1kmidAdded today

About this role

Algolia is seeking a Software Engineer for the Growth team to help developers quickly adopt and maximize the AI Search platform. You'll build user-facing solutions, run experiments, and scale growth infrastructure while collaborating across product, design, and engineering teams.

What you'll do

  • Build solutions that help users onboard and succeed with Algolia's search platform
  • Design and execute A/B tests and experiments to validate growth initiatives
  • Collaborate with Product and Design teams to identify and explore growth opportunities
  • Develop and scale the Growth platform infrastructure to support customer and internal needs
  • Write high-quality, well-tested code and participate in code reviews
  • Contribute to engineering best practices, processes, and tooling improvements

What they're looking for

  • Backend development with Ruby or Go
  • Full-stack development with TypeScript and React
  • Event-driven architecture on GCP or AWS
  • Data-driven decision making and analytics
  • A/B testing and experimentation frameworks
  • Production application development and scaling
  • API design and integration
  • SQL and database optimization

Benefits

  • Remote work flexibility with option for fully remote arrangement
  • Competitive base salary ($136,400–$196,100)
  • High-trust environment with autonomy and impact-focused work
  • Global presence with offices in Paris, NYC, London, Sydney, and Bucharest
  • Opportunity to shape UX for diverse user segments across industries
  • Ownership of projects from discovery through delivery
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Algolia

Algolia builds an AI-powered search platform for enterprise customers. The company is hiring Solutions Engineers and Customer Success Engineers to drive pre-sales technical engagement and guide customers through implementation and optimization.

View all jobs at Algolia

Likely interview questions

  • Can you describe a time you shipped a feature iteratively and used data to drive decisions on what to build next?
  • What experience do you have with A/B testing frameworks or experimentation platforms?