
5001 - 10000 employees
Founded 1980
🏢 Enterprise
☁️ SaaS
🤝 B2B
💰 Series unknown on 2018-06
Enterprise • SaaS • B2B
BMC Software is a long-established enterprise software company that builds IT operations, service management, automation, and cloud/mainframe management solutions for other businesses. The company delivers enterprise-grade products and platforms (including on-premises and SaaS offerings) that help organizations monitor, manage, and automate IT services and infrastructure, and it increasingly emphasizes AI-driven capabilities and collaboration in its product portfolio.
🔥 3 minutes ago
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5001 - 10000 employees
Founded 1980
🏢 Enterprise
☁️ SaaS
🤝 B2B
💰 Series unknown on 2018-06
Enterprise • SaaS • B2B
BMC Software is a long-established enterprise software company that builds IT operations, service management, automation, and cloud/mainframe management solutions for other businesses. The company delivers enterprise-grade products and platforms (including on-premises and SaaS offerings) that help organizations monitor, manage, and automate IT services and infrastructure, and it increasingly emphasizes AI-driven capabilities and collaboration in its product portfolio.
• Design the reference architecture and delivery patterns that take governed data from the semantic layer to every downstream consumer • Architect and build Data Agent, the natural-language interface for querying governed data • Co-design the semantic layer and ensure agents query governed definitions • Serve as technical lead and partner with the Data Engineer to take designs to production • Translate ambiguous business problems into clear technical requirements • Take features and subsystems end-to-end, proactively identifying gaps and driving work forward
• 8+ years across data architecture and hands-on engineering • Strong proficiency in Python and SQL • Deep, hands-on experience designing and building on Snowflake and DBT • Proven experience designing and building LLM / agentic solutions (LangChain, LlamaIndex, LangGraph) • Deep understanding of the semantic layer as the architectural bridge between source data and business meaning • Demonstrated ability to translate complex technical concepts for non-technical stakeholders • Strong communication and ability to lead in a fast-moving environment
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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