About Checkout.com
We’re Checkout.com – you might not know our name, but we’re behind many of the digital experiences people use every day.
When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there’s a good chance our technology powers the payment behind the scenes.
At Checkout.com, we’re building where the world checks out – enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world’s most ambitious businesses deliver seamless digital experiences at scale.
We’re also building a company designed for people who want to do career-defining work. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and a focus on impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech and we’re just getting started.
Senior Engineering Manager – Data and AI Platform Team
Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team’s mission is to provide all the tools and platforms that enable data and AI to be leveraged easily for our products, merchants, and internal collaborators. We focus on maximizing the time our teams spend solving business problems and innovating products while minimizing the time spent on technical details around implementation, deployment, and monitoring.
We are building for scale; what we design today will serve hundreds of teams and petabyte‑level volumes of data.
Key Responsibilities
- Lead the team in establishing and validating their understanding of technical architecture and designing end‑user‑centric systems and tools.
- Lead technical delivery and operational reliability by automating processes, including monitoring and alerting, meeting SLAs/SLOs, and minimizing toil to ensure high‑performance, scalable engineering excellence.
- Manage a team of Junior and Senior Data Engineers while being hands‑on when needed. Cultivate an inclusive environment and mentor team members in career development and interpersonal skills.
- Oversee quarterly execution of roadmap delivery, ensuring the team focuses on the right priorities and efficiently manages dependencies and cross‑functional hurdles.
- Collaborate with Engineering to provide solutions to internal clients for data platform use cases.
- Build and improve strong relationships with engineers, managers, and product leads across multiple teams.
- Ensure compliance with regulatory and internal controls in a highly regulated financial space, working with InfoSec and Internal Audit as well as external auditors and regulators.
- Oversee AI use‑cases and lead the team to develop infrastructure and tooling required to support AI governance and scalable GenAI production environments.
About You
- Experience leading and growing a team of data professionals.
- Experience as a data or software engineer, preferably in a fast‑paced, growing company.
- Ability to partner with Product Management to assess technical feasibility, provide capacity estimates, and balance new features with architectural health.
- Excellent time management and proactive problem‑solving skills.
- Experience designing and implementing batch and stream data processing systems.
- Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP (BigQuery).
- Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.
- Good understanding of AI platforms and experience building infrastructure for LLM orchestration (e.g., Vector DBs, RAG pipelines, or GPU scaling) is a significant plus.
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