AI agents for sales outreach, research, and revenue operations
Alta builds a multi-agent AI system for revenue teams—combining language models (LangChain, LlamaIndex), ML inference (TensorFlow, PyTorch, scikit-learn), and CRM integrations (Salesforce, HubSpot) to automate SDR work, prospect research, and RevOps analytics. The engineering-heavy hiring mix (9 of 16 open roles) and active projects around multi-agent design and CRM data integration signal a company still architecting core product capabilities rather than scaling a mature platform.
Alta develops AI agents—Alex (calling and follow-up), Katie (prospecting and research), and Luna (RevOps insights)—designed to automate repetitive revenue-team work at the execution and strategy levels. The platform ingests CRM data (Salesforce, HubSpot) and unstructured signals (Gong call recordings, email threads), uses structured ML models for scoring and forecasting, and deploys agents across chat, voice, and email channels. Founded in 2023 and based in Tel Aviv, the company is 11–50 employees and actively hiring engineers and support staff across Israel and the US.
TypeScript, Python, JavaScript, React, Node.js for the platform; TensorFlow, PyTorch, scikit-learn for ML; LangChain and LlamaIndex for LLM orchestration; Salesforce, HubSpot, Gong for CRM and call data; Mixpanel, Amplitude, Segment for analytics.
Multi-agent system design across voice, chat, and email channels; integrating CRMs into a semantic data layer; building agent tools for prospect enrichment, lead scoring, and revenue forecasting; feature rollouts and customer onboarding.
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