The opportunity
Iterable is the AI customer engagement platform, built for enterprise scale, loved by teams, and trusted by global brands like Redfin, SeatGeek, Priceline, Calm, and Box. Our platform empowers organizations to activate customer data from any source, design seamless cross-channel…
What you'll do
Own the architecture and end-to-end delivery of critical workflows in 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.
Define and apply high-availability, fault-tolerance, and recovery patterns: for data-intensive systems, including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution.
Lead the design of Snowflake-based data pipelines and data-sharing workflows: that improve freshness, correctness, scalability, and operability for analytics products and customer-facing data delivery.
Establish technical standards for schema evolution, data quality,: observability, testing, and lifecycle management so data systems are easier to extend, debug, and support at scale.
Partner with data science and machine learning engineers to architect robust: data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.
Drive technical tradeoffs across batch and streaming patterns, raw-to-curated: data modeling, latency, performance, cost, availability, 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, resolve complex production issues, and align solutions with broader platform direction.
- Identify architectural gaps and operational risks early, and turn them into: concrete roadmaps, design proposals, and execution plans.
- Create reusable abstractions, platform capabilities, and engineering patterns: that raise the leverage of the broader team beyond immediately owned systems.
- Provide technical leadership through design reviews, implementation guidance,: incident reviews, and mentorship for senior and mid-level engineers.
