AI Architect and Data Engineer
5 days ago
AI Architect and Data EngineerAbout the RoleWe are seeking a highly skilled AI architect and data engineer to join our team. As a Founding Backend Engineer, you will be responsible for designing and implementing the architecture of our AI system.Your primary focus will be on building the context layer, which serves as the sensory system that determines how our system sees the world. You will own the infrastructure that fuses rigid financial data with messy and unstructured signals, and architect the universal data model that standardizes chaotic inputs from ad platforms, MMPs, first-party data, and our own internal actions into a rigid and queryable schema.This is an exciting opportunity to work at the forefront of AI development and contribute to the growth and success of our company.Responsibilities Standardize Data Schemas: Design and maintain canonical data models that normalize conflicting metrics across disparate sources.Build Deep 1P Data Integrations: Construct pipelines to ingest high-fidelity signals directly from the source, including events, conversion values, inventory logic, and customer lifetime value models from enterprise data warehouses like Snowflake, Databricks, and Redshift.Integrate Unstructured Data & LLMs: Build workflows that scrape and process multimodal data from ad libraries and social platforms, working with large language models (LLMs) to structure this chaos, including competitor creatives, market trends, and visual signals into quantitative inputs.Architect the Observer Framework: Build logging and observation infrastructure that records every state change, ensuring that every internal decision and external market shift is captured in our standardized schema to create a perfect historical record for causal analysis.Requirements 4+ years of experience building high-throughput backend systems in Python, Go, or Java.High agency, with the ability to diagnose problems and ship fixes without requiring a ticket.Data polyglot, with comfort moving between SQL, NoSQL, and message queues, and experience handling data that arrives in different shapes, sizes, and speeds.Intellectually honest, with a willingness to challenge assumptions and dig into root causes when data doesn't look right.Bonus Points Experience building low-latency systems, such as high-frequency trading platforms, gaming backends, or real-time bidding exchanges.Complex scraping experience, gathering data from difficult sources where APIs do not exist or are rate-limited.Familiarity with event-driven architectures (Kafka, RabbitMQ) and managing concurrency in a high-volume environment.Experience managing ETL pipelines for terabyte-scale datasets using tools like Airflow, dbt, or Spark.Benefits Salary ($170,000 - $220,000)Significant equity package commensurate with a founding roleDaily lunch and dinnerRelocation support for candidates moving to the Bay AreaComprehensive health, dental, vision, and unlimited PTO
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Vice President of Engineering
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