
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.
🔥 1 hour ago
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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.
• Design the warehouse and transformation layer underlying Firmable's products • Decide where models belong in the data pipeline • Run LLM extraction and entity resolution over millions of records per day while controlling cost and error rates • Define standards for using dbt tests and SQL, cheap decision models, and frontier LLMs • Write evaluation sets and regression suites to prevent bad prompt or model changes from reaching customer data • Detect model drift when vendors update models • Keep Snowflake fast and affordable at billions of rows • Write the reference implementation for the team • Collaborate in small teams through design, code review and evaluations • Log every LLM call with its prompt version, model and cost
• 5–7 years building production data platforms • Strong Python and SQL skills • Experience with dbt, Snowflake, Airflow and AWS • Experience running LLM extraction and entity resolution over millions of records per day • Experience building labelled evaluation sets and measuring precision/recall • Experience working with millions or billions of rows • Experience owning data platform architecture decisions end to end • Experience with long-term ownership of a platform • Daily use of AI coding tools and evidence of shipped work using them • Nice to have: Braintrust, Promptfoo or Inspect • Nice to have: Logfire or OpenTelemetry • Nice to have: embeddings for entity resolution • Nice to have: fine-tuning small models • Nice to have: Spark or streaming • Nice to have: B2B data • Nice to have: GDPR/SOC2
• Competitive base • Meaningful equity • Fully remote work arrangement
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