Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.
To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories.
In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.
Groupon is on a radical journey to transform our business with relentless pursuit of results.
Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success.
The impact here can be immediate due to our scale and the speed of our transformation.
We're a "best of both worlds" kind of company.
We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.
Lead the AI-Driven Evolution of Groupon's Global Engineering Platform
At Groupon, we're rebuilding our platform from the ground up—AI is at the core of this transformation.
We're looking for a hands-on, strategic
Engineering Manager to own our Observability and CI/CD disciplines
, driving the next phase of our digital evolution.
This is an opportunity to champion AI-first engineering practices and modernize mission-critical infrastructure for 300+ engineers worldwide.
What You'll Do
Lead & Inspire:
Build and mentor a high-performing, globally distributed team of CI/CD and Observability engineers (5-10 direct reports), coaching them in cutting-edge AI-assisted workflows and best practices.
Modernize Core Infrastructure:
Spearhead the migration from legacy platforms (Jenkins, ELK) to cloud-native solutions (GitHub Actions, Google Cloud Logging, GCP Prometheus/Grafana).
Eliminate "straggler" pipelines and drive cost-efficient, reliable operations.
AI-First Engineering:
Operationalize AI tools (Claude Code, Copilot, ChatGPT, etc.) for everything from log analysis and incident summaries to automated infrastructure as code, making AI-augmented engineering a daily norm.
Architect & Optimize:
Oversee a hybrid tech stack (Kubernetes, Envoy, Terraform, GCP, AWS), ensuring platforms are fast, scalable, and "self-healing" via LLM integrations.
Collaborate Globally:
Act as a thought leader and cross-functional partner, advocating for AI-driven developer experience and collaborating with leaders in SRE, Product, and Cloud.
Drive Transformation:
Deliver strategic projects with tight deadlines and direct business impact, such as the Jenkins-to-GHA and ELK-to-GCP migrations, while maintaining a high standard of technical excellence and cost efficiency.