
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
TechTorch is an AI-native B2B company that provides revenue operations and digital transformation solutions for enterprises and private-equity–backed portfolio companies. Their Beacon platform and AI agents automate quote-to-cash, CRM modernization (Salesforce, HubSpot, Dynamics), CPQ, data integration, analytics, billing/subscriptions, and other revenue workflows to accelerate growth, reduce errors, and deliver rapid, measurable value.
🕒 March 24
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
TechTorch is an AI-native B2B company that provides revenue operations and digital transformation solutions for enterprises and private-equity–backed portfolio companies. Their Beacon platform and AI agents automate quote-to-cash, CRM modernization (Salesforce, HubSpot, Dynamics), CPQ, data integration, analytics, billing/subscriptions, and other revenue workflows to accelerate growth, reduce errors, and deliver rapid, measurable value.
• Design and implement enterprise data architectures spanning Source of Origin (SOO), System of Record (SOR), and Common Data Model (CDM/Curated) layers • Lead core data architecture activities including data modeling (conceptual, logical, physical), master data management, reference data, metadata, lineage, and governance frameworks • Build scalable batch and real-time data pipelines and data products leveraging lakehouse and warehouse patterns • Architect and support end-to-end deployment of AI/ML solutions on data platforms, including feature engineering, model integration, orchestration, and monitoring • Work hands-on with engineering teams to deliver production-grade solutions with proper CI/CD, security, performance optimization, and observability • Partner with business stakeholders and technical teams to translate requirements into clean, scalable technical designs that align with PE value creation objectives
• 8+ years in data architecture, solution architecture, or data engineering roles • Proven track record designing and implementing SOO/SOR/CDM architectures, lakehouse/warehouse patterns, and dimensional modeling • Hands-on experience delivering AI-enabled solutions to production environments (beyond experimentation) • Cloud implementation experience in Azure, AWS, or GCP (deep expertise in at least one platform) • Consulting delivery experience across multiple clients and domains preferred
• High-impact role on a flagship, enterprise-scale transformation program • Opportunity to design modern, AI-enabled digital commerce platforms • Exposure to top-tier private equity-backed and global enterprise clients • Global, senior engineering and architecture peers • Flexible, remote-first working environment with strong autonomy
Apply Now🕒 March 24
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