Applied AI Engineer – Data Quality Systems

🔥 15 minutes ago

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Logo of Firmable

Firmable

51 - 200 employees

Founded 2023

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Firmable is an AI-native B2B sales platform that provides company and contact data, prospect list building, automated buying-signal monitoring, and CRM enrichment. It uses LLMs and agentic AI to assemble and refresh data across hundreds of sources, surface high-intent accounts (role changes, funding, search intent, technology adoption, vertical signals), and generate CRM tasks to guide timely outreach. Firmable integrates with major CRMs (HubSpot, Salesforce, Dynamics, Pipedrive), browser extensions, and other tools, and is positioned as an alternative to legacy data providers like ZoomInfo and Apollo, targeting sales leaders, account executives, SDRs, revenue operations, marketing, and recruiters. The product is offered as a SaaS with terms aimed at smaller and mid-market teams (no enterprise-only contracts or auto-renew traps) and is used by 1,300+ businesses.

📋 Description

• Own data quality across the platform end-to-end • Design the systems that decide the trustworthiness of the data • Investigate complex datasets using SQL, Snowflake, Python, and LLMs • Unlock insights in large-scale B2B datasets • Build scalable, reusable datasets • Design checks for data quality and run evaluations • Assess and onboard new data sources • Track down the hardest data bugs and fix them • Architect LLM-based quality checks • Ship agentic remediation pipelines • Be the technical point of escalation for data quality

🎯 Requirements

• 6+ years in data quality, data engineering, or analytics, with a strong focus on data quality systems • Expert-level SQL and Snowflake — complex queries, performance tuning, warehouse design • Strong Python skills — pandas, numpy, scripting, automation, and production-grade code • Deep, demonstrable expertise building agents, skills, and tool-calling pipelines • You operate LLMs as production systems • Sharp judgement on rules vs. LLMs • Deep knowledge of data quality principles • Proven skill with BI and data visualisation • Comfort working cross-functionally with product, engineering, sales, and marketing • A product mindset

🏖️ Benefits

• Competitive base + meaningful equity • Genuine ownership • Work at the frontier of LLM-as-judge at production scale • Opportunity to build something that doesn't exist anywhere else in the market

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