Good At Numbers

Good At Numbers

Good At Numbers specializes in utilizing artificial intelligence to convert fragmented business data into comprehensive dashboards and predictive analytics, enabling leaders to make informed decisions swiftly.

Internet Software & Services

Description

  • Build product features across workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces.
  • Design and implement backend services, APIs, data models, and application logic.
  • Improve code quality through testing, refactoring, documentation, and better engineering practices.
  • Connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way.
  • Improve performance, usability, and overall engineering quality in the core product.
  • Collaborate across product, platform, and ML workstreams to ship production-ready features.
  • Work with the engineering team to refine core workflows across the platform.
  • Ship meaningful product features to a high standard by the end of the internship.

Requirements

  • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects.
  • Strong software engineering fundamentals, problem-solving ability, and ownership.
  • Experience with backend development, APIs, and relational databases preferred.
  • Experience with modern frontend frameworks and/or full-stack application development preferred.
  • Experience with testing, code review, debugging, and maintainable application design preferred.
  • Experience with Python and/or JavaScript/TypeScript preferred.
  • Comfort working in ambiguous product environments and translating product ideas into shipped software.
  • Strong communication and execution skills.
  • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks is a plus.
  • Experience with Postgres, workflow systems, dashboards, or analytics/data products is a plus.
  • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows is a plus.
  • Experience building AI-enabled product features or working alongside ML systems is a plus.
  • Must be authorized to work in the United States for the full internship period.
  • Must be based in the U.S. during the internship.
  • No employment visa sponsorship is available for this internship.

Benefits

  • Paid 12-week summer internship from May through July 2026.
  • Compensation of $23/hour.
  • Remote role based in the United States.
  • Full-time schedule of 40 hours per week.

Interested in this position?

Apply directly on the company website

Apply Now

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