TENEX.AI

Security Engineer

• Security Engineering & Operations:
• - Design, implement, and maintain a diverse suite of security tools and technologies, including next-generation firewalls, Endpoint Detection and Response (EDR) solutions, Security Information and Event Management (SIEM) systems, Multi-Factor Authentication (MFA), and Zero Trust Network Access (ZTNA) solutions.
• - Conduct comprehensive security gap assessments to identify vulnerabilities and weaknesses, proposing and implementing effective remediation strategies.
• - Actively assist with customer success initiatives by providing security expertise, integrating our solutions into customer environments, and addressing their specific security requirements.
• - Collaborate closely with our Security Operations Center (SOC) to enhance threat detection, incident response capabilities, and forensic analysis.
• - Contribute significantly to the development and enforcement of robust security policies, standards, and procedures across the organization.
• - Lead system hardening efforts for operating systems, applications, and network devices to minimize attack surfaces and enhance resilience.
• DevOps Security Integration & Automation:
• - Champion the integration of security throughout the DevOps lifecycle, helping to build and mature our "security-as-code" capabilities.
• - Leverage APIs extensively to integrate various security tools with IT systems, enabling advanced automation and improved security orchestration. This includes automating alert enrichment, threat intelligence ingestion, vulnerability scanning, and automated containment actions in response to security incidents.
• - Develop and implement automated security workflows to streamline security operations, improve efficiency, and reduce manual intervention.

IT Support

• Administer, monitor, and optimize a wide range of essential IT systems, including communication platforms, various cloud environments (e.g., Google Cloud Platform), and other critical IT technologies.
• Manage and maintain core identity systems (e.g., Google Identity) and ensure the secure and efficient operation of our Google Workspace environment.
• Ensure high availability, performance, and security of all managed systems through proactive monitoring, configuration management, and regular backups.
• Provide expert-level technical support and troubleshooting for complex IT and security issues, escalating to specialized teams when necessary.
• Maintain a diverse suite of security tools and technologies, including next-generation firewalls, Endpoint Detection and Response (EDR) solutions, Security Information and Event Management (SIEM) systems, Multi-Factor Authentication (MFA), and Zero Trust Network Access (ZTNA) solutions.
• Contribute to the support development and enforcement of robust security policies, standards, and procedures across the organization.
• Support system hardening efforts for operating systems, applications, and network devices to minimize attack surfaces and enhance resilience.
• Champion the integration of the DevOps lifecycle, helping to build and mature our "configuration-as-code" capabilities.
• Leverage APIs to integrate various services with IT systems, enabling advanced automation and improved security orchestration.
• Develop and implement automated workflows to streamline IT operations, improve efficiency, and reduce manual intervention.

IT Administrator

Machine Learning Engineer

• Lead and own the architecture and delivery of technical components of complex projects.
• Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
• Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
• Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
• Lead cross-functional initiatives, partnering with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
• Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.
• Provide technical mentorship to junior engineers, foster engineering best practices, and contribute to architectural design reviews.

Senior AI/ML Engineer

• Ability to drive and deliver technical components of complex projects. This means communicating effectively to align on requirements, executing on high-quality code, and collaborating with senior engineers and stakeholders throughout the development lifecycle.
• Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
• Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
• Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
• Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
• Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.

AI/ML Engineer II

• Project Execution: Ability to drive and land large abstract projects from start to finish. This means communicating effectively to gather consensus, efficient delegation, and bringing multiple stakeholders on the journey.
• AI Layer Engineering: Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
• Productionize Reasoning Engines: Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
• Evaluation & Reliability: Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
• Cross-Functional Collaboration: Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
• Push the Frontier: Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.

AI/ML Engineer

Artificial Intelligence

• Build 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 team.
• Partner 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 roadmap.
• Own and execute against a published roadmap. Predictable, visible execution is a core expectation of this role.
• Maintain, expand, and refine our AI work companion based on user feedback and emerging needs.
• Build 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 solutions.
• Run enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-native.
• Contribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usage.

AI Enablement Engineer

Security Analyst

• Support all phases of the intelligence lifecycle — planning, collection, analysis, production, and dissemination — under the guidance of senior analysts.
• Research known threat actors and groups, mapping observed Tactics, Techniques, and Procedures (TTPs) to the MITRE ATT&CK framework to help identify potential gaps in current defenses.
• Monitor open sources, industry feeds, and relevant forums to contribute to "big picture" reporting on how the threat environment is evolving.
• Collect and help validate technical Indicators of Compromise (IOCs) from malware reports and OSINT sources to support blocklist hygiene and reduce noise.
• Proactively research and collect threat intelligence from open-source intelligence (OSINT), commercial feeds, and internal security data.
• Assist in producing written reports, including Flash Alerts for urgent threats and contributions to monthly blogs or executive summaries.
• Monitor vulnerability disclosures and exploit trends, surfacing relevant findings for review and escalation.
• Work alongside technical teams (e.g., Incident Response, SOC) and help communicate threat findings to non-technical stakeholders in plain language.

Threat Intelligence Analyst

Sales

• Own and exceed a multi-million-dollar ARR quota across a defined territory or vertical patch.
• Build and execute a Microsoft co-sell strategy — develop relationships across AEs, CSAs/CSAMs, GBBs, STUs, and Partner Development Managers; drive joint account planning and shared pipeline.
• Position Tenex MDR alongside customers’ existing Microsoft Security investments, leveraging Sentinel, Defender XDR, Defender for Cloud, Entra, and Purview deployments to land and expand.
• Transact through the optimal commercial path for each customer: direct, Microsoft Marketplace, private offer, or Partner Center co-sell.
• Run rigorous discovery, MEDDPICC/MEDDIC qualification, and executive value selling — articulate ROI to CISOs, CIOs, and security leadership.
• Partner with Sales Engineering, Detection Engineering, and Customer Success to scope, validate, and operationalize MDR engagements.
• Maintain accurate forecasting, pipeline hygiene, and account intelligence in CRM.
• Represent Tenex at Microsoft field events, MISA gatherings, and industry conferences.

Enterprise Sales Director – Microsoft

• Own and execute a cloud security sales strategy targeting enterprise accounts across your assigned territory, with a primary focus on Wiz-led CNAPP opportunities.
• Develop and manage co-sell pipeline with Wiz field teams, Google Cloud Security reps, and channel partners in the Wiz Integration Network (WIN).
• Engage CISOs, cloud security architects, DevSecOps leads, and procurement stakeholders to position TENEX as the MDR partner that operationalizes cloud-native security investments.
• Lead discovery conversations that tie Wiz CNAPP visibility gaps to TENEX's AI-driven detection, investigation, and response capabilities.
• Manage full enterprise sales cycles from prospecting through contract negotiation and close, with deal sizes typically $300K to $1M+ ARR.
• Collaborate with TENEX Customer Engineering and SOC leadership to deliver compelling technical demonstrations and custom proof-of-value engagements.
• Maintain pipeline hygiene and accurate forecasting in Salesforce; participate in weekly CRO deal reviews.
• Represent TENEX at cloud security events, Wiz partner forums, Google NEXT, and relevant industry conferences.
• Travel up to 50% to build executive relationships and accelerate key deals.

Enterprise Sales Director – Cloud Security

Engineer

• All responsibilities of a Senior Forward Deployed Engineer, operating at the highest level of technical complexity and strategic account engagement
• Serve as the technical lead and quality standard for the Forward Deployed AI Engineering team — reviewing solutions, setting architectural patterns, and ensuring consistency and excellence across all engagements
• Own and lead the AI & Data Science function — building cross-customer intelligence systems that may include vulnerability prioritization models, configuration baselines, threat intelligence pipelines, detection optimization tools, and other areas identified through active FDE customer engagements
• Ensure the feedback loop between FDE customer work and the AI & DS function is tight and continuous — no tickets, no handoffs, direct collaboration
• Work with SE&A to operationalize AI/DS-built tools — ensuring what the team builds is something SE&A engineers can run and customers can benefit from
• Define the technical direction for how FDE-built solutions are documented, packaged, and made available across the broader platform
• Mentor Senior and Forward Deployed Engineers — elevating the team's technical bar across AI, data, and security domains
• Partner with the Director on team strategy, hiring bar, and long-term capability development
• Represent the FDE team's technical perspective in cross-functional conversations with Product, SE&A, and Rapid Deployment

Staff Forward Deployed Engineer

Manager

• Directly manage a team of Deployment Engineers and/or Security Solution Engineers — SIEM/SOAR through active daily oversight
• Serve as a strong hands-on technical resource for complex deployments
• Coordinate with the Project Manager to prioritize incoming deployment requests based on team capacity, customer urgency, and skillset
• Own team delivery metrics — go-live timelines, concurrent deployment capacity, and content coverage
• Conduct regular 1:1s, performance reviews, and career development conversations
• Identify and remove blockers affecting deployment timelines
• Collaborate with the Director to refine team processes, tooling, and onboarding playbooks

Manager – Rapid Deployment

• Embed directly within assigned customer accounts to deeply understand their environment, workflows, and security challenges
• Follow the FDE engagement loop: Discover, Ideate, Document, Build, Ship — moving from problem identification to working solution with a bias toward action
• Build custom solutions tailored to customer needs — including automations, integrations, AI-assisted workflows, data pipelines, and security tooling extensions
• Apply combined expertise across AI, data, and security to solve problems that off-the-shelf tools cannot address
• Document solutions thoroughly so they can be reviewed, refined, and offered to other customers across the platform
• Continuously identify and surface new problem areas, data opportunities, and intelligence gaps encountered during customer engagements — feeding these discoveries into the AI & DS function for evaluation and development
• Collaborate closely with the AI & Data Science function — surfacing cross-customer intelligence needs directly from customer engagements
• Maintain a strong working relationship with customer technical stakeholders throughout the engagement
• Manage multiple active customer accounts concurrently, maintaining deep focus and high-quality output across each engagement
• Escalate blockers or account risks to the Director or Staff-level engineers when appropriate

Forward Deployed Engineer

Data Engineer

• Define the content architecture strategy across platforms — detection frameworks, parser standards, playbook taxonomy, and dashboard design
• Lead platform-specific content roadmaps (Google SecOps, Sentinel, AWS) aligned to customer coverage targets
• Serve as the senior technical escalation point for all Security Solution Engineer — SIEM/SOAR technical challenges — including parsers, detection logic, SOAR automation, API integrations, and custom scripting
• Partner with the FDE and SE&A teams to translate customer-specific findings into reusable, scalable content
• Evaluate new data sources, integrations, and vendor partnerships for content expansion
• Drive adoption of AI-assisted content generation tooling and establish quality review standards
• Mentor Security Solution Engineers — SIEM/SOAR and contribute to hiring and technical growth of the team

Forward Deployed Data Architect

• Design, schedule, and deliver a catalog of live training sessions for customer stakeholders — from SOC analysts to security executives
• Build and maintain a training calendar aligned to customer lifecycle stages (onboarding, adoption, expansion, renewal)
• Develop session templates, facilitator guides, and post-session materials that can be reused and scaled
• Track attendance, completion, and engagement; iterate based on feedback and outcome data
• Architect and launch a scalable self-service education program — video content, knowledge base, certification tracks, or a formal LMS
• Create on-demand content that maps to Tenex's four GTM motions and customer maturity levels
• Partner with Product and Marketing to keep content current as the platform evolves
• Define success metrics: content engagement, course completion, time-to-competency, and correlation to retention
• Build the enablement muscle for Tenex's customer-facing team — onboarding programs for new hires, ongoing skills development, and product knowledge upskilling
• Partner with organizational leaders to identify skill gaps and design targeted training to close them
• Create internal toolkits: talk tracks, objection handling guides, capability briefs, and playbook walkthroughs
• Instrument enablement effectiveness through leading indicators like ramp time, QBR quality scores, and manager assessment
• Design the foundational L&D operating model for Tenex as the company scales — governance, tooling, content taxonomy, and measurement framework
• Make the build-vs-buy-vs-partner call on LMS and content tooling; own vendor evaluation and rollout
• Create a content governance process to ensure accuracy, freshness, and brand consistency
• Advise leadership on L&D investment priorities as headcount and customer count grow

Manager, Customer Education – Enablement

Solutions Engineer

• Author, tune, and maintain detection rules, correlation logic, and threat content across Google SecOps and Microsoft Sentinel
• Build and validate log parsers for new data sources integrated into customer environments
• Develop and maintain SOAR playbooks, automation workflows, and dashboards for common alert types and operational use cases
• Build cloud run functions, scripts, and API integrations where native connectors or content do not exist
• Collaborate with Deployment Engineers to ensure content is ready for new customer go-lives
• Monitor detection coverage gaps and proactively develop content to address them
• Incorporate threat intelligence and adversary TTPs (MITRE ATT&CK) into detection logic
• Serve as an advanced enablement resource for customers — training them on detection content, dashboards, and platform capabilities at a deeper technical level
• Document all content with clear metadata, use cases, and tuning notes
• Support AI-assisted content generation workflows with human review as the quality gate