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Ent is a workspace security platform that uses AI to understand and protect human and AI-driven work. Founded by the co-founders of RiskIQ (acquired by Microsoft) and the team behind Microsoft Security Copilot, Ent is in production with Global 2000 customers across hospitality, financial services, and defense.
You will drive AI transformation across Ent's operations, embedding with business functions to understand how work actually gets done, then hands-on building agents, automations, integrations, and data tooling that make every function faster and sharper. This is a rare mix of consultant and engineer—you'll learn teams' workflows, identify high-leverage problems, and build solutions from prototype to production to adoption.
You'll start by prioritizing business systems (CRM, support, finance, ops) where reliable automation compounds fastest, then expand to other functions. You'll report to the Chief of Staff with direct CEO sponsorship, giving you cross-functional access and air cover to change how work gets done.
Key responsibilities include: embedding with sales, exec staff, operations, customer success, and business systems teams to map workflows and identify AI leverage points; instrumenting and connecting the core stack (CRM, support, finance/ops tooling) for reliable downstream automations; designing and building scalable, cost-effective AI solutions end-to-end (agents, copilots, workflow automation, data & analytics); owning solutions from discovery through prototype, production, adoption, and measurement; integrating AI responsibly while respecting data governance and security; establishing lightweight standards and guardrails for trustworthy, observable automations; enabling team adoption through documentation and training; partnering with R&D to reuse Ent's own AI capabilities internally; and maintaining a prioritized, ROI-ranked internal AI backlog.
You bring demonstrated hands-on building with LLMs (prompt engineering, model APIs like Anthropic/OpenAI, RAG, structured outputs, agent frameworks like LangGraph or CrewAI); working software engineering ability in Python and/or TypeScript with REST APIs and cloud experience; business-systems fluency integrating CRM/support/ops tools (Salesforce, HubSpot, Zendesk) and workflow platforms (Zapier, Make, n8n); ability to decompose messy business processes and design measurably better ones; consultative communication skills; and a bias to ship working prototypes fast. Strong portfolios of shipped AI/automation work can substitute for traditional credentials.
