TENEX.AI

Machine Learning Engineer

• 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

Security Engineer

• 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