Jobs at TENEX.AI

Lead and build an adversarial research team to track advanced threat actor campaigns, perform malware analysis and adversary emulation, and translate findings into high-fidelity, AI-driven detections. Publish research, represent the company publicly, and collaborate with SOC, IR, and engineering to operationalize intelligence into detection logic and response.

Lead and develop SOC Managers and SOC operations; own SOC health and performance metrics; remain hands-on for escalations and detection engineering; scale processes, staffing, and playbooks; partner with Detection Engineering, Product, and Customer Success to improve service and customer security outcomes.

Design, build, and maintain scalable, highly available cloud infrastructure for an AI-native cybersecurity platform. Automate deployments and incident response, optimize performance for AI workloads, manage IaC across cloud environments, lead incident management and post-mortems, and collaborate with engineering and security teams to embed reliability.

Lead global paid media strategy and execution across search, social, display, video, programmatic, and OOH. Build ABM and geo-targeting, manage multi-region budgets, optimize toward pipeline and revenue, maintain measurement (GA4, GTM, attribution), run experiments, integrate intent signals, leverage AI for bidding and creative, and partner with product, RevOps, and agencies to scale performance.

Lead outbound sales development as a player-coach: build and automate enrichment workflows, prioritize accounts using intent data, carry personal pipeline targets, coach and ramp BDRs, and use analytics and call review tools to optimize funnel performance.

Perform high-activity outbound prospecting via email, phone, and LinkedIn to book qualified meetings. Personalize and execute sequences, research accounts, meet daily activity and pipeline targets, accurately log CRM activity, and hand off well-qualified opportunities to Account Executives.

Lead and grow Regions, Canada & Startups sales vertical as a player-coach. Own ARR quota, forecast accuracy, and pipeline; hire, train, and manage up to 11 AEs across US and Canada; drive Google Cloud co-sell motions and executive alignment; build Canada and Startups go-to-market from scratch; define regional org structure, comp, and quota planning.

The Software Engineer Intern will design, develop, and deploy backend services and APIs, participate in software development activities, write clean code, and troubleshoot issues.

Own and build the post-sales operating system: reporting, CS platform implementation and administration, health scoring, CSAT/NPS programs, data governance, customer communications, renewal operations, and automation. Partner cross-functionally to create a single source of truth and operational cadence that drives retention, renewals, and scalable delivery.

Provide operational support to the field sales team by maintaining CRM hygiene, owning reporting and dashboards, managing Google deal registrations, producing and turning around SOWs, driving lead and deal flow, and supporting deal desk/CPQ and pricing processes.

The Customer Engineer will provide pre-sales technical support, enhance customer success, and promote AI-driven security solutions while collaborating across teams and requiring travel to client sites.

Own scoped, time-bound professional services engagements end-to-end: shape and validate SOWs with Sales, orchestrate delivery resources, manage scope and engagement P&L, drive to formal acceptance and clean financial closure, and hand off steady-state relationships to Customer Success while improving the services catalog.

As a Full Stack Engineer, you will design, develop, and deploy backend services and user-friendly frontend applications while collaborating with the team to implement new features and improve processes.

Administer and secure IT systems and cloud environments (primarily Google Workspace/GCP). Manage identity, availability, and performance; maintain security tools (EDR, SIEM, firewalls, ZTNA); harden systems; integrate DevOps security and automation using scripts and APIs; provide expert technical support; and develop security policies and automated workflows to improve organizational and customer security posture.

Responsible for executing the intelligence lifecycle, analyzing threats, producing reports, and collaborating across teams to enhance cybersecurity defenses.

As a Software Engineer II, you will design and develop backend services and frontend applications, collaborate with teams, and improve development processes.

The Forward Deployed Implementation Engineer executes platform deployments, onboard log sources, validates pipelines, provides customer training, and troubleshoots issues in cybersecurity environments.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Design, develop, and productionize scalable AI systems for autonomous threat detection and response. Build LLM-based reasoning engines, graph-based analytics, streaming feature pipelines, orchestration frameworks, and evaluation/reliability tooling. Collaborate with product, detection engineering, and customer teams to translate attacker behavior into robust ML and rule-based detections.

Lead design and delivery of scalable AI systems for autonomous threat detection and response. Build and productionize LLMs, graph reasoning engines, streaming feature pipelines, and orchestration frameworks. Own evaluation, reliability, and cross-functional collaboration while mentoring engineers and experimenting with RAG, tool-calling agents, and multi-modal models.