Original listing text, shown exactly as published by the company.
Your role
We're looking for a generalist who's comfortable across the stack - backend, data pipeline, background jobs, and the occasional frontend change. You'll work closely with the CTO and product team to ship features fast, with fewer meetings and more doing.
Your day-to-day
- Build and maintain backend features - APIs, background jobs, integrations. Our stack is Ruby on Rails but if you're strong in Python or TypeScript and willing to learn, that works too.
- Improve and maintain our data pipeline - write reports and queries in PostgreSQL and BigQuery to keep affiliate data (clicks, conversions, commissions, payouts) correct and up to date.
- Build internal dashboards and reports - payout summaries, revenue attribution, cohort breakdowns, etc.
- Fix performance issues - bad queries, slow background jobs, bottlenecks. Keep things running well under load.
- Use AI tools (Claude Code, Cursor) daily to move faster. We care about what you ship, not how many hours you sit.
- Work async with a small team - few meetings, lots of ownership. You ship it, you monitor it.
- Jump in on technical support. We rotate who handles deeper technical help for our CX team - running custom scripts, debugging client-specific issues, or digging into the data when something looks off.
Your skills and experience
- 5+ years of backend engineering experience, with strong proficiency in Ruby on Rails, or solid Python/TypeScript skills with a genuine willingness to learn our stack.
- Strong SQL skills, including writing complex queries, optimizing slow queries, and working with both PostgreSQL and BigQuery in production environments.
- Experience building and maintaining REST APIs and background job systems (e.g., Sidekiq, Celery, or similar), with an understanding of reliability, retries, and failure handling.
- Experience building internal tooling and dashboards - revenue reports, payout summaries, cohort analyses, or similar business-facing data products, ideally tied to financial or affiliate data.
- Async-first, high-ownership work style - comfortable communicating through written updates, making independent decisions, and taking full responsibility for features from build through monitoring.
- Practical experience using AI-assisted development tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as a regular part of the development workflow to increase output quality and speed.
Nice to have
- Data or analytics engineering background - prior work with data pipelines, event tracking, affiliate/conversion data, or analytics engineering is a meaningful differentiator for this role.
- Familiarity with dbt (data build tool) for building and maintaining data transformation models, or a strong desire to learn it quickly in the context of analytics and reporting.
