
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.
🔥 18 hours ago
🇺🇸 United States – Remote
💵 $125k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Analytics Engineer
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51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.
• Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and third-party SaaS integrations • Design and lead data extraction and transformation strategy from Snowflake environments • Establish schema standards, transformation logic, and data quality criteria supporting downstream analysis and product use cases • Collaborate with engineers and product teams to define data contracts and schema standards • Design and implement alerting and observability strategy for data pipelines on GCP • Define SLOs, alert thresholds, and dashboards • Set up the monitoring stack • Own data quality by writing validation logic, catching issues, solving problems, and designing solutions before production • Participate in the full software lifecycle from design through deployment • Report to the VP of Engineering
• Bachelor’s Degree • 4+ years of software or data engineering experience • Hands-on experience extracting from and integrating with Snowflake • Proficiency with BigQuery and PostgreSQL • Strong Python skills • Comfort connecting to third-party APIs and SaaS data sources • Experience building atomic, modular codebases • Familiarity with GCP or similar cloud infrastructure • Experience with Airflow, Polars, Parquet, or Spark (nice to have) • Familiarity with dbt or similar transformation tools (nice to have) • Interest in the NLP/AI space (nice to have) • Comfort in a fast-moving startup environment (nice to have) • Authorization to work in the US without company sponsorship
• Flexible, remote-friendly work • Collaborative, low-bureaucracy team • Competitive compensation • Real ownership of your domain • Inclusive workplace and equal opportunity employer • Reasonable accommodations for applicants and employees with disabilities
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