Equals 5

About Equals 5

Equals 5 is a marketing data platform for pharma. Our clients are pharmaceutical brands and the people we reach are verified healthcare professionals. 

The core product is a Laravel + Vue.js application on GCP, sitting on top of PostgreSQL and ClickHouse.

The role

You own the platform. Our product lead decides what we build and why. You decide how it is built, then build it and ship it. There is no engineering manager in between and no architecture committee to convince. You set the technical direction, you choose the tools, and you are accountable for what runs in production.

This is a hands-on engineering role, not a management one. Your leverage comes from AI coding agents and small team developers and QA.

What you will do

• Own the Equals 5 web platform end to end: Laravel API, Vue 3 SPA, PostgreSQL schema, deploys
• Take features from the first product conversation through to release: data model, API, UI, tests, rollout
• Work directly with the product lead on weekly priorities, with no ticket relay in between
• Query and shape campaign data across PostgreSQL, BigQuery and ClickHouse, and keep dashboards fast on hundreds of millions of rows

• Own reliability and security: monitoring, alerting, incident response, careful handling of healthcare-professional data

   

   

How we work with AI

AI-assisted development is how we ship, not something we are piloting. Picture yourself running a small team of coding agents (Claude Code, Cursor, Copilot): you hand off the mechanical work and keep your attention on architecture, data correctness and security.

That only works if you can tell when the agent is wrong. We want someone who reads generated code critically and throws it out when it deserves throwing out. Whatever ships, you are still the engineer on the hook for it.

Must have

• 5+ years full-stack, with deep Laravel (Eloquent, queues, events, service providers, testing) and Vue 3 (Composition API, Pinia, Vue Router) or similiar.
• Real SQL ability plus hands-on work with an analytical store: BigQuery, ClickHouse, Snowflake or similar
• PostgreSQL beyond CRUD: indexing, query plans, migrations against live tables

• AI coding tools as part of your daily workflow, with a clear view of where they fail

   

   

Nice to have

• Ad-tech or marketing analytics background: impressions, clicks, attribution windows, audience matching
• Healthcare or pharma domain, especially consent and PII handling
• GCP at the service-design level (Cloud Run, Cloud SQL, GCS) and IaC with Pulumi or Terraform
• E2E testing with Playwright or Cypress
• TypeScript and Vite build tooling

Tech stack

PHP 8.2 / Laravel 10 · Vue 3, PostgreSQL, Redis · ClickHouse, GCP, Docker, GitHub Actions · Grafana · Claude Code

What we offer

• Fully remote with flexible hours, overlapping EU timezones for syncs
• Full technical ownership: you are in the decision, not downstream of it
• Paid AI tooling, including Claude Code
• Real data volumes and integration problems you will not find in tutorials
• A small team with no bureaucracy, where decisions happen the same day

Interview process

1. Intro call, 30 min — expectations both ways
2. Technical interview, 90 min — Architecture, data modeling and integration failure modes
3. Culture fit interview with PM

Equals 5 is a platform for managing advertising campaigns across digital channels: Meta, LinkedIn, Programmatic, etc. We build data infrastructure on GCP and process campaign statistics in BigQuery and ClickHouse.

We are looking for an Integration Team Lead to own our ad-platform integrations: the architecture, a team of 2–4 engineers, and the roadmap. Fully remote (EU timezones), reporting directly to the CTO.

What you'll do

• Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk)
• Lead a team of 2–4 engineers: code reviews, sprint planning, mentorship
• Design and maintain data pipelines from ad platform APIs to BigQuery/ClickHouse via Cloud Run Jobs
• Ensure data sync reliability: monitoring, alerting, error handling, retry strategies
• Work with API rate limits, OAuth flows, and webhooks across advertising platforms
• Drive new integration projects from API evaluation to production rollout
• Prioritize the integration roadmap together with the product team

Tech stack: Python 3.11+, GCP (Cloud Run, Cloud SQL, GCS), BigQuery, ClickHouse, PostgreSQL, Grafana, Cloud Build, Docker, Claude Code.

Must have

• 5+ years in backend/data engineering
• Strong Python: production-grade code with error handling, logging, and tests
• Experience leading a team of 2+ engineers
• Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution
• Experience with GCP or a comparable cloud at the service design level
• Experience integrating third-party APIs: rate limits, OAuth flows, webhooks, async reports
• Comfortable using AI coding assistants (Claude Code, Cursor, Copilot) in daily work

Nice to have

• Hands-on experience with Meta Marketing API or LinkedIn Marketing API: breakdowns, attribution windows, async reports
• Workflow orchestration platforms: Airflow, Prefect, Temporal
• BigQuery and/or ClickHouse
• The Programmatic ecosystem: DV360, The Trade Desk, OpenRTB
• Advertising metrics: impressions, clicks, conversions, ROAS, attribution models

How we work

We use Claude Code across the whole development workflow: writing and reviewing code, debugging production issues, designing system architecture. You will help the team shape these practices. We value ownership of your pipelines in production, pragmatism, transparency, and systems thinking: you see the full chain from API ingestion to the end-user dashboard.

What we offer

• Fully remote with flexible hours (EU timezones for syncs)
• Direct influence on technical strategy: you report to the CTO, with no layers between you and technical decisions
• Claude Code licenses and AI tooling as standard practice
• A small team where decisions are made fast

Interview process

1. Intro call (30 min): get to know each other, align on expectations
2. Technical interview (90 min): integration architecture, API experience, data pipeline design
3. Culture fit interview with PM