Note: The job is a remote job and is open to candidates in USA. AdZeta is building the signal infrastructure layer for modern growth teams. They are seeking a Data & MarTech Engineer to own the activation and data infrastructure that powers their platform, focusing on building systems that move customer data and deliver predictive value signals to advertising platforms.
Responsibilities
- Design, build, and maintain outbound integrations with advertising platforms
- Develop production-grade Python services and APIs
- Build and maintain event-driven data pipelines
- Create scalable activation infrastructure that supports multiple customers
- Implement monitoring, logging, testing, and observability best practices
- Collaborate closely with our ML engineer to operationalize predictive models
- Contribute to architecture and platform decisions as an early team member
- Ship production code quickly while maintaining quality and reliability
Skills
- Hands-on experience with at least one advertising platform API (Google Ads Offline Conversion Import, Meta Conversions API, TikTok Events API) or equivalent server-side conversion tracking
- Professional experience building production applications in Python
- Experience integrating with external APIs in production environments
- Strong SQL skills
- Experience working with cloud infrastructure (GCP preferred, AWS acceptable)
- Experience building systems with retry logic, error handling, and monitoring
- Comfortable working in a startup environment with high ownership and autonomy
- Comfortable with AI-assisted development workflows (Claude Code, Cursor, Copilot) — we provide generous tooling budgets and expect engineers to leverage AI to accelerate development
- Experience with Shopify APIs and webhooks
- Terraform or Infrastructure as Code experience
- BigQuery experience
- Event-driven architectures and message queues
- Docker and containerized deployments
- GTM Server-Side implementation experience
- Identity resolution, customer matching, or audience activation experience
Benefits
- Early-team role with meaningful ownership and significant equity
- Work directly with the CEO and founding ML engineer (PhD Statistics, UC Berkeley; ex-Google)
- Unusually well-documented architecture — you won't be guessing what to build. The blueprint exists; your job is to implement it with production quality.
- Significant equity upside
- High-impact work with immediate customer visibility
- Fast-moving, execution-focused culture
- Generous AI development tooling budget (Claude Code, Cursor, Copilot)
Company Overview