Were looking for a Mid-Level Software Engineer to join the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioral intelligence layer of our platform-systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities.
This is a hands-on role where you will contribute to the architecture and implementation of critical platform capabilities. Youll design robust systems, write high-quality code, and ensure our services are scalable, reliable, and maintainable.
Youll work on challenging distributed systems problems involving high-volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account-specific readiness, idempotency, reliability, observability, and downstream activation. The systems you help build will power use cases like cart abandonment, browser abandonment, checkout abandonment, price drops, back-in-stock alerts, loyalty milestones, replenishment reminders, and audience membership changes.
You will report to the Behavioral Team Engineering Manager in this role.
What Youll Do
- Contribute to Behavioral Platform Design and Implementation: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
- Build Systems with Stateful Context: Build systems that maintain the behavioral state and lookback windows needed to evaluate patterns such as action without completion, multi-event intent signals and state-change-driven triggers.
- Own Feature Delivery: Act as a responsible hands-on contributor who delivers complex backend features from technical design through implementation, testing, deployment, and production support.
- Establish a Reusable Pattern Framework: Develop declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently.
- Partner Across the Platform: Collaborate with Product and engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
- Drive Operational Excellence: Ensure Behavioral services operate reliably at scale. Use observability, metrics, traces, logs, and alerts to maintain system quality and shared on-call responsibilities.
What You Bring
- 3+ years of professional software engineering experience, with a solid track record of building and operating backend or platform systems in production.
- Solid experience designing and operating distributed, event-driven, or high-scale backend systems.
- Hands-on experience building stateful services, real-time decisioning, asynchronous processing, system reliability, and production operations.
- Proficiency with Kafka and gRPC for event streaming and microservices communication.
- Experience with high-performance analytics databases like ClickHouse.
- Understanding of distributed systems concerns such as partitioning, retries, duplicate events, ordering, idempotency, backfills, and data consistency tradeoffs.
- Hands-on experience building scalable backend services in cloud environments like GCP and AWS.
- A strong focus on operational excellence-building reliable systems with monitoring, alerting, logging, and incident response.
- Collaborative, product-minded approach: balancing technical quality with customer value.
Nice to have:
- Experience with Rust or Elixir.
- Experience with Customer Behavioral Tracking SDK.
The base pay range for this position is $119.3 - $155K/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
