Tenable

Security Engineer

• Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle
• Conduct safety research by inspecting model internals for hidden deception, latent knowledge, and unwanted concepts
• Perform AI safety assessments and threat modeling for AI/ML systems
• Identify risks including data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks
• Design and implement security guardrails, controls, and boundary mechanisms for LLMs, SLMs, and open-source models
• Monitor the AI landscape for vulnerabilities and attack techniques
• Develop security reference architectures for AI deployment patterns, MCP servers, and agentic AI workflows
• Deploy controls for model integrity, governance, and access control across models and feature stores
• Build AI-driven cybersecurity tooling across identity, incident management, vulnerability management, third-party risk, and emerging AI threats
• Collaborate with software engineers and product teams to integrate security practices into AI development, training, validation, and deployment
• Drive SSDLC and DevSecOps practices, including threat modeling, security testing, penetration testing, and CI/CD security automation
• Create security guidance, documentation, training, and metrics for engineering and development teams
• Research emerging AI security trends and contribute to Tenable’s AI initiatives

AI Security Engineer

Account Manager

• Drive sales growth and customer engagement within the assigned territory
• Identify new business opportunities and nurture existing customer relationships
• Manage a defined book of customers across the full sales lifecycle
• Develop and execute territory sales plans to meet or exceed revenue targets
• Master MEDDPICC and Command of the Message on all opportunities
• Conduct virtual meetings, product demos, and follow-ups with prospects and existing customers; in-person meetings may be required depending on the region
• Qualify inbound and outbound leads and progress opportunities through the sales funnel
• Maintain accurate records of sales activities and customer interactions in Salesforce
• Collaborate with marketing, product, and customer success teams
• Stay current on industry trends, product updates, and the competitive landscape
• Contribute to root cause analyses on wins and losses and communicate lessons learned
• Perform other duties assigned by management

Commercial Territory Manager

Research Engineer

• Execute the daily intelligence production cycle for Exposure Intelligence
• Monitor a broad source ecosystem and triage relevant intelligence
• Produce the daily operations brief informing team priorities
• Produce and publish an external intelligence digest for stakeholders
• Assess zero-days and determine whether they warrant full analytical workups
• Evaluate exploit maturity, likely attacker interest, and blast radius with confidence calibration
• Produce threat assessments, actor and campaign profiles, and analytical notes on CVEs or exposure conditions
• Write Tenable blog posts and coordinate with public relations and product marketing on media responses
• Contribute to webinars and conference presentations
• Provide input into classification standards, analytical methodologies, and source management practices
• Collaborate on AI-assisted workflows and improve analytical capabilities
• Respond to internal intelligence requests from product teams and leadership
• Collaborate with stakeholders to understand intelligence needs and inform analytical priorities

Staff Research Engineer – Exposure Intelligence

Data Analyst

• Turn operational and customer data into actionable reports and dashboards that drive business decisions
• Partner with internal business teams, such as sales compensation, to gather reporting requirements
• Document technical specifications
• Build user-friendly data assets
• Write SQL views and build dashboards directly within Databricks using engineering-populated data
• Add structured descriptions and metadata to tables, views, and columns so data is discoverable and accurately queried by AI tools such as Claude
• Validate report accuracy
• Monitor data quality
• Maintain documentation of reporting logic for long-term reliability
• Build and scale the business reporting layer within Databricks
• Leverage AI coding agents such as Databricks' Genie or Claude to assist in writing and optimizing queries

Data Analyst – SQL, Databricks

Customer Success Manager

• Renew and expand revenue within the assigned client base
• Proactively address concerns or challenges to secure long-term customer relationships
• Forecast and achieve quarterly and annual revenue targets
• Manage a book of mid-sized Commercial or Enterprise clients
• Onboard clients and assist with client adoption
• Maintain client satisfaction through consistent value-added communications and meetings
• Collaborate with Territory Managers and Sales Engineers to maintain client health and drive expansion opportunities
• Advocate for customers within the organization and ensure feedback is heard and acted upon
• Identify expansion opportunities through in-depth conversations and relationship building
• Perform other duties and responsibilities as assigned by management