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Required Full Stack Developer
As a Full Stack Developer, you will:
Develop the next generation features of the main backend services of various Company products
Design and develop high-volume, low-latency and scalable product
Partner closely with product managers, project managers and architects to align technical execution with business goals
Own features from requirements through design, implementation, testing, deployment and production support
Write well-designed, testable (unit/integration/component testing), secured and efficient code.

Required Low-Level Developer
As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

Were looking for a Group Product Manager to lead our Core Experiences products. This group is the "Front Door" and the operational heart .
Our mission is to provide a seamless, contextual platform that adapts to how and where our customers work. This group is responsible for transforming the Homepage into an AI-powered cockpit-a centralized hub that brings together the most relevant insights, actions, and tools in one place -and also owns additional capabilities, such as the Mobile application.
Youll Own:
The Experience Strategy: Set the high-level vision for "Front Door" (Homepage, Notifications) and drive the product planning and design process to translate this vision into a product that performs, scales, and is easy to use.
The Meeting Cycle & Mobile Vision: Lead the strategy for the end-to-end meeting journey, leveraging native capabilities to create "mobile-only" value for users on the go.
Product Empowerment: Lead a group of senior product managers, each working with a dedicated product team (UX, Engineering), ensuring they are empowered to drive their roadmaps while growing professionally.
Youll Solve:
Customer-Centric Prioritization: Work with customers, users, and internal stakeholders to truly understand, map, and prioritize complex needs into a cohesive product roadmap.
Ecosystem Cohesion: How do we enable multiple independent business groups to surface insights on the Homepage or via Notifications without overwhelming the user?
Frictionless Discovery: How do we use Continuous Onboarding to ensure that as Gong grows, users don't get "lost" in the new value we ship?
Strategic Resource Allocation: Balancing the need for long-term platform stability and scalable product patterns with the rapid delivery demands of various product squads.

We're on the lookout for a Senior Product Manager who's ready to dream big, lead boldly, and make an incredible impact on both our product and the businesses that rely on it.

Speed is table stakes now. AI handles a lot of the execution. What we're hiring for is judgment: the product sense to know what's worth building, the taste to know when something isn't good enough yet, and the conviction to make the call. We're not looking for someone who only manages backlogs and writes specs. We're looking for someone who uses AI as a genuine force multiplier, building prototypes, compressing research cycles, and moving from idea to evidence faster than most teams move from idea to meeting.


As a Product Manager, you will:
Decide what to build, and what not to. You'll set direction on the roadmap with conviction, backed by customer understanding and sharp product instincts.
Play a key role in defining and building a new strategic product, getting in early enough to shape its direction, positioning, and core experience.
Work with R&D, Design, Business, and Customer Experience teams to validate, launch, and iterate.
Build your own prototypes and POCs using AI tools to validate assumptions before engineering cycles begin, reducing waste and increasing the quality of what gets built.
Use AI natively throughout your workflow
Analyze user behavior, performance, and trends, going beyond dashboards to surface non-obvious insights and translate them into product decisions that move the needle.
Gather and integrate insights from customers to guide the product development process and validate key decisions.
Oversee everything from backlog management and feature prioritization to release planning and ongoing iterations, without losing sight of the bigger picture.
Maintain expertise on the latest trends, technologies, and best practices to ensure stays at the forefront of innovation.

We are seeking a Senior Security Researcher - Cloud Threats to join our highly technical product research team working at the core of our cloud security platform.

This is a rare opportunity to join an elite cloud security research team and do work that directly shapes our product. In this role, you will own the research direction for our Cloud Detection and Response (CDR) capabilities, designing detection strategies across agentless and agent-based telemetry, expanding coverage across cloud attack surfaces, and developing prioritization mechanisms that help customers focus on what matters.

You will perform novel security research to uncover attacker behavior, develop detection methodologies, and apply detection-as-code principles to build production-grade detections. Beyond product work, you'll contribute to Tenable's external thought leadership, writing and speaking about cloud threats, adversary tradecraft, and detection methodologies.

We're looking for an exceptional, adversary-focused security researcher who can bridge threat intelligence, cloud security knowledge, and detection engineering. You're curious, comfortable with ambiguity, and driven to understand how attackers operate in cloud environments.

Your Role:

Own the research direction for Cloud Detection and Response (CDR), driving the vision for how we detect and respond to cloud threats.
Design detection strategies across agentless and agent-based telemetry sources, focusing on quality and detecting what matters.
Perform novel security research to uncover attacker tradecraft, techniques, and behaviors in cloud environments, informing both product direction and external research.
Apply detection-as-code principles to build production-grade detections that ship directly in the Tenable Cloud Security platform.
Stay current with emerging cloud threats and translate threat intelligence into actionable detection logic and product capabilities.
Write and speak about cloud threats, adversary tradecraft, and detection methodologies to strengthen Tenable's voice in cloud security.

Required Technical Support Engineer
As a Technical Support Engineer, you will:
Provide our clients support and technical solutions, both remotely and at the client sites abroad
Track open support tickets and ensure they are handled until resolution
Analyze and resolve operational and technical issues raised by the client
Perform production system and infrastructure upgrades.

We are seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across Tenable's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.

Your Role:

Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as Tenable's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine.
In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.
Youll Own:
The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.
Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.
Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.
Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.
Youll Solve:
Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.
Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.
Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.

Required Detection & Incident Response Team Lead
As a Detection & Incident Response Team Lead, you will:
Lead detection, investigation and mitigation of cybersecurity incidents, including deep network traffic and data analysis
Develop and maintain scripts for data parsing, packet analysis and correlation across multiple data sources
Leverage open-source tools and frameworks to support threat attribution and research
Build and maintain integrations with APIs, threat-intel feeds and big-data platforms to enhance visibility and detection capabilities
Document research findings, detection methods and analysis techniques for technical and non-technical stakeholders.

We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.

In this role, youll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.

We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.

** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).**

As a Customer Support Engineer , you will:
Be in charge of our customer happiness and deliver amazing service.
Become a product expert who knows the ins and outs of what has to offer by helping our customers maximize the value they receive from us.
Proactively identify opportunities and optimization points to help our customers grow.
Represent the customer voice internally in Product, Marketing, and Business Development discussions.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI , covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.

Required Automation Engineer
As an Automation Engineer, you will:
Operate an automated testing infrastructure
Develop functional code that tests against regression and data inconsistency, and reports about the quality of new features and releases
Develop automated tests using Python, Pytest, Selenium and other testing tools
Develop automated test cases in collaboration with cross-functional teams
Be working with Agile methodology.

Required Talent Acquisition Partner
As a Talent Acquisition Partner, you will:
Lead proactive sourcing activities for technology-oriented roles
Analyze hiring needs and translate them into precise sourcing profiles
Manage full-cycle recruitment
Identify, approach and engage passive candidates through personalized outreach campaigns
Build sourcing strategies using LinkedIn, GitHub, internal databases and creative market mapping
Build and maintain long-term talent pipelines for critical and hard-to-hire roles
Partner closely with recruiters and hiring managers to continuously improve sourcing quality
Track sourcing metrics and optimize funnel performance.

Required NOC Engineer
As a NOC Engineer, you will:
Troubleshoot and debug technical incidents
Monitor and troubleshoot various systems
Monitor and investigate OPSEC incidents
Provide clients with a professional first point of contact
Handle day-to-day production issues
Continuously develop and improve the teams service and processes
Work in shifts 247, including weekends and holidays
Perform preventive maintenance.

Design and implement our products and infrastructure stack, including internal systems, user experience, and advanced security features.
Research new technologies, products, solutions for programmatic challenges.
Work in rapid development and agile methodologies.
Collaborate with other team leaders and developers to refine software designs and improve our development process.
Lead by example in adopting advanced technologies and techniques in software development.