[Remote] AI Enablement Engineer

Note: The job is a remote job and is open to candidates in USA. TENEX.AI is an AI-native, automation-first Managed Detection and Response provider. As an AI Enablement Engineer, you will build and evolve the internal AI platform, partnering with teams across the company to shape the platform roadmap and enhance AI fluency throughout the organization.ResponsibilitiesBuild and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills, Claude Projects, integrations, and department-specific specialists that scale AI impact across every teamPartner with teams across TENEX (Sales, Customer Success, Marketing, Finance, Legal, HR, Detection Engineering, Security Operations, Forward-Deployed Engineering) to surface needs that shape our internal AI platform roadmapOwn and execute against a published roadmap. Predictable, visible execution is a core expectation of this roleMaintain, expand, and refine our AI work companion based on user feedback and emerging needsBuild integrations between Claude and our internal tools (e.g., Ashby, Wonderlic, Fireflies, Asana, Google Chat) using webhooks, MCP connectors, and APIs. Favor reusable patterns over one-off solutionsRun enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-nativeContribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usageSkillsAnthropic Claude ecosystem expertiseHas shipped real work using Anthropic's Claude products, including Claude.ai, Claude Code, Cowork, Projects, custom skills, and MCP connectors. Tutorial-level familiarity is not enough. You should be able to point to things you've built that are actually in use by other peopleComfortable using Claude Code for technical work, including building scripts, integrations, and toolingStrong prompt engineering instincts and an ability to translate vague user needs into clear, scoped AI workflowsFamiliarity with Gemini Enterprise is a plus, as we also use it5+ years of experience in software development. Python is preferred. Comfort with REST APIs, webhooks, and JSON-based integrations is requiredComfortable working across the integration surface: reading API docs, configuring webhooks, debugging auth flows, building lightweight services that connect tools togetherFamiliarity with version control (Git/GitHub) and modern engineering practicesDemonstrated ability to design and build for reuse. You see common patterns across requests and abstract them into platform capabilities rather than building one-off solutions every timeStrong instincts for protecting sensitive data. You understand that internal AI workflows must be designed with strict guardrails around what data they can access, especially when customer information, employee information, or internal IP could be in scope. You build accordinglyDemonstrated production experience working with sensitive data (PII, customer data, internal IP, or regulated data). You can speak to specific decisions you've made to protect itFamiliarity with AI-specific security risks: prompt injection, data leakage to third-party LLMs, unsanctioned tool use, output misuse. You consider these risks proactively, not retroactivelyWorking knowledge of secrets management, secure SDLC practices, and the basics of compliance frameworks (e.g., SOC 2)Can sit with a CSM, finance lead, recruiter, or executive and translate their workflow into something AI can help with, without condescension, without overengineering, and without losing patienceComfortable presenting to groups: running training sessions, demoing new tools at all-hands meetings, hosting AMAsStrong written communication. You will write documentation, policy drafts, status updates, and company-facing announcementsComfortable saying 'no' or 'not yet' when an idea isn't ready, scoped, or appropriately resourcedBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experienceExperience building or maintaining an internal AI platform at another companyFamiliarity with Asana, Atlassian (Jira/Confluence), Google Chat, Google Workspace, Salesforce, Ashby, or other common B2B SaaS tools we integrate withBackground in change management, technical writing, or internal enablementExperience with cybersecurity, even at a basic level, since several of our internal workflows involve our security and detection teamsHands-on experience with AI governance, AI security tooling, or AI usage monitoring platformsAnthropic certifications, AI/ML certifications, or security-related credentials are a plus but not requiredCompany OverviewTENEX.AI is a cybersecurity company that combines human expertise with artificial intelligence to protect digital assets. It was founded in 2024, and is headquartered in Sarasota, Florida, USA, with a workforce of 51-200 employees. Its website is https://tenex.ai.