Integration Tech Lead (Ad Platform Integrations, GCP)

About the Product
We are a product company building a marketing data platform for the pharma industry. Our platform connects advertising channels, processes campaign data, and helps pharmaceutical brands understand the performance of their marketing campaigns.
We are looking for an Integration Team Lead to own the technical layer connecting our platform with advertising and data platforms. This is a hands-on technical leadership role: you will lead a team of 2–4 engineers, own integration architecture and roadmap, and continue contributing directly to the codebase.
The data your team processes ultimately powers the numbers our clients see in their dashboards, so reliability, data correctness, and observability are critical parts of the role.
You will report directly to the CTO and work closely with the Product team to prioritize the integration roadmap.
Fully remote · EU time zones
What You'll Do
Own the architecture and evolution of platform integrations, including Meta Marketing API, LinkedIn Marketing API, CM360, DV360, with StackAdapt and TikTok integrations in progress.
Lead a team of 2–4 engineers through task breakdown, code reviews, sprint planning, mentoring, and participation in hiring.
Stay hands-on and contribute code alongside the team.
Design and maintain integration pipelines end to end — from advertising APIs into BigQuery through Cloud Run Jobs, and onward into ClickHouse through Cloud Functions and Cloud Tasks.
Work with BigQuery scheduled queries and versioned migrations, where a significant part of the transformation logic lives.
Keep smaller integrations reliable as well, including PostgreSQL-to-Airtable synchronization.
Define integration requirements and write FRDs before development starts.
Maintain technical documentation, including integration contracts, data models, and operational runbooks.
Ensure reliable synchronization through monitoring, alerting, error handling, retries, and backfill strategies.
Build and improve CI/CD, secret management, and automated test coverage.
Drive new integrations from API evaluation through production rollout.
Prioritize the integration roadmap together with the Product team.
Work directly with the CTO on architecture decisions and technical standards.
What We're Looking For
General
2+ years of experience leading engineers as a Tech Lead, Team Lead, or hands-on Engineering Manager, including code reviews, sprint planning, and mentoring.
5+ years of backend or data engineering experience with production systems you have supported yourself.
Strong experience integrating third-party APIs at scale, including rate limits, OAuth, webhooks, asynchronous reports, and unreliable external services.
Experience working in a fully remote environment with overlap across EU time zones.
English B2+ — most of our communication is written and asynchronous.
Technical
Strong Python 3.11 skills and experience writing production-grade code with error handling, structured logging, and automated tests.
Practical experience with data pipeline patterns such as idempotency, backfills, incremental synchronization, and schema evolution.
Hands-on experience with GCP, particularly Cloud Run services and jobs, Cloud Functions, Cloud Scheduler, Cloud Tasks, Cloud SQL, GCS, and Secret Manager.
Strong SQL skills beyond basic CRUD, including experience implementing production logic directly in SQL.
Experience with BigQuery, including scheduled queries and versioned migrations.
Experience writing and maintaining technical documentation such as FRDs, integration contracts, data models, and runbooks.
Experience setting up monitoring and alerting, working with logs, retries, and backfill mechanisms. Grafana experience is a plus.
Hands-on experience with Docker and CI/CD and willingness to build and improve deployment pipelines.
Leadership & Soft Skills
You lead by doing: you break down work, distribute tasks, review code, unblock engineers, and make decisions when necessary.
You think in systems and understand the full chain from API ingestion to the end-user dashboard.
When a number looks wrong, you investigate the source and data flow before changing the output.
You keep the roadmap and engineering board aligned with reality and raise risks early.
You are pragmatic, transparent, and comfortable communicating problems when something breaks.
You can balance technical quality with business priorities and delivery timelines.
AI-First Engineering
AI-assisted development is already part of our engineering workflow. We expect you to be comfortable using AI coding agents as a daily engineering tool, not as an occasional experiment.
You should have experience with:
Daily use of AI coding agents such as Claude Code, Cursor, Codex, or similar tools.
Using AI agents to draft a significant part of the code you ship while reviewing and taking full ownership of the final result.
Running multiple agents in parallel on isolated branches or worktrees and integrating their output yourself.
Maintaining project-specific AI context through files such as CLAUDE.md, AGENTS.md, custom commands, or rules files.
Automating recurring engineering routines with AI agents, such as reporting, migrations, release checks, or test generation.
Critically evaluating AI-generated code and recognizing when an agent's output is incorrect or unsafe to ship.
AI is a tool, not a replacement for engineering judgment. Whatever reaches production, you own.
Nice to Have
Hands-on experience with Meta Marketing API or LinkedIn Marketing API, including breakdowns, attribution windows, and asynchronous reports.
Experience with workflow orchestrators such as Airflow, Prefect, or Temporal.
Familiarity with the programmatic advertising and ad-server ecosystem: CM360, DV360, StackAdapt, TikTok.
Understanding of advertising metrics such as impressions, clicks, conversions, ROAS, and attribution models.
Experience in healthcare or pharma, particularly around consent and PII.
Experience building AI agent harnesses, orchestrators, or MCP servers.
Terminal-first engineering workflows using tmux or similar tools.
Infrastructure-as-code experience. Our infrastructure uses Pulumi, with Terraform for the monitoring stack.
Tech Stack
Python 3.11 · GCP · Cloud Run · Cloud Functions · Cloud Scheduler · Cloud Tasks · Cloud SQL · GCS · Secret Manager · BigQuery · ClickHouse · PostgreSQL · Docker · Cloud Build · Pulumi · Terraform · Grafana · Slack · Claude Code
What We Offer
Fully remote work with flexible hours and overlap with EU time zones for team collaboration.
Direct access to the CTO — you will influence the architecture and technical standards of the integration layer rather than simply implementing predefined tickets.
Paid AI tooling, including Claude Code.
The opportunity to work with real advertising APIs and real production data volumes, including the edge cases that rarely appear in documentation.
A small, low-bureaucracy engineering team where technical decisions can move quickly.
Significant ownership over a critical part of the product and the opportunity to shape how the integration layer evolves.
About the Company
We are a product company developing a marketing data platform for the pharmaceutical industry. Our clients are pharmaceutical brands, and the campaigns running through the platform reach verified healthcare professionals.
The platform enables brand teams to run campaigns across channels such as Meta, LinkedIn, and programmatic advertising, and to measure campaign performance.
Our data infrastructure runs on GCP, with campaign statistics processed through BigQuery and ClickHouse. We are a small, fully remote team working across EU time zones and continuously shipping improvements to the product.