Related skills
java sql python distributed systems scalaπ Description
- Own end-to-end architecture and delivery of lift measurement features from design to rollout.
- Design, build, and optimize large-scale data pipelines for studies.
- Drive AI enablement with tooling, coaching, and process improvements.
- Translate measurement design into production pipelines and services.
- Automate data validation, randomization checks, and backtesting.
- Define SLAs and monitor data quality with anomaly detection.
- Mentor engineers and drive cross-functional technical execution.
π― Requirements
- BS in Computer Science or related field, or equivalent practical experience.
- 8+ years of software engineering experience focused on data-intensive systems.
- Proficient in large-scale data pipelines (batch/streaming) with Java/Scala/Kotlin or Python and SQL.
- Experience designing reliable services and APIs; distributed systems and data modeling.
- Proven ability to drive AI-enabled workflow improvements via tooling and leadership.
- Experience in AdTech/measurement or analytics/experimentation platforms.
- Knowledge of experimentation and causal measurement: randomization, holdouts, confounders.
π Benefits
- PinFlex and flexible work options.
- Eligible for equity.
- Equal opportunity employer.
- Inclusive, supportive culture.
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