The opportunity
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless…
What you'll do
Build and operate components of our next-generation data ingestion and: activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs.
Improve pipeline reliability, observability, and recovery through metrics,: dashboards, alerting, retries, and durable workflow execution.
Develop and maintain Snowflake-based data pipelines and data-sharing: workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.
Contribute to schema evolution, data quality checks, and operational: processes that reduce discrepancies and make data systems easier to support and extend.
Partner with data science and machine learning engineers to build and harden: the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
Make thoughtful tradeoffs across batch and streaming patterns, raw-to-curated: data modeling, performance, and maintainability as systems scale.
What they're looking for
- Collaborate with cross-functional partners across product, frontend,: platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver high-quality solutions end to end.
- Recommend improvements to existing processes and understand resources available to overcome unforeseen issues.
- Learn to proactively anticipate small roadblocks to accomplishing tasks and: use knowledge of business unit processes to navigate them successfully.
- + years of relevant experience in data engineering, software engineering, or: adjacent platform and infrastructure roles.
