Senior Backend Engineer, Product and Infra

What You’ll Do

• Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.
• Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.
• Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.
• Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.
• Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.
• Define and track key operational metrics, including latency, completeness, accuracy, and event health.
• Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.
• Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.
• Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.
• Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.

What We’re Looking For

• Experience building production backend services and APIs at scale
• Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics.
• Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content.
• Proficiency in Python, Go, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar).
• Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas.
• Experience with event-driven architectures, Pub/Sub, or Kafka-like systems.
• Strong understanding of data quality, schema evolution, lineage, and operational reliability.
• Ability to design pipelines that balance cost, latency, correctness, and scale.
• Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders.

Nice to Have

• Experience building application-facing APIs or microservices that expose structured content.
• Background in information retrieval, indexing systems, or search infrastructure.
• Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms.
• Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines.
• Understanding of batch + streaming architectures and how to blend them effectively.
• Experience with Go, Next.js, or React Native for occasional full-stack contributions.

Benefits

• Highly competitive salary and equity
• Quarterly productivity budget
• Flexible time off
• Fantastic office location in Manhattan
• Productivity package, including ChatGPT Plus, Claude Code, and Copilot
• Top notch private health, dental, and vision insurance for you and your dependents
• 401(k) plan options with employer matching
• Concierge medical/primary care through One Medical and Rightway
• Mental health support from Spring Health
• Personalized life insurance, travel assistance, and many other perks