
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 multi-step AI agents and orchestration workflows in Python • Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools • Integrate and evaluate top models (Gemini, GPT, Claude, etc.) • Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events) • Implement memory, retrieval, and planning for reliable agent behavior • Take prototypes to production — with CI/CD, containers, and cloud deployment • Build internal SDKs and reusable agent templates to speed up delivery • Instrument everything — logging, tracing, guardrails, evaluation • Work directly with clients to capture requirements, run experiments, and iterate fast • Apply best practices for security, privacy, and safety in all deployments
• 2+ years of hands-on experience building and shipping AI agents or complex automations • Strong Python skills (async, testing, packaging) • Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.) • Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems • Solid data foundations: embeddings, RAG, chunking, indexing • Software engineering fundamentals: Git, CI/CD, Docker, AWS • Bonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)
• Work on real, high-impact AI systems — not just demos • Exposure to Fortune 500 and private equity clients • Remote-first and flexible — we care about results, not hours • Fast recruitment process — we move as quickly as you do • Career growth, certifications, and access to leading AI tech
Apply Now🕒 March 19
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