TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
Culture is one of the most important things at TENEX.AI—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
About the Opportunity:
The research is what sets a disruptive MDR apart, and at TENEX it drives everything we detect. As Senior Security Researcher, you’ll study emerging adversary behavior, build the detections and tooling that catch it, and translate research into real customer protection. This is a deep-technical individual-contributor role with influence across the whole SOC and the room to become a founding technical voice as we scale.
What You’ll Do:
Research emerging threats. Investigate adversary tradecraft, malware, and attack techniques across cloud and endpoint.
Turn research into detections. Build detection logic and tooling that operationalizes your findings.
Publish and share intelligence. Communicate findings to internal teams and, where appropriate, customers.
Partner across business units. Work with Detection Engineering, Forward Deployment, and Software Engineering to ship research-driven capabilities.
Help set the research agenda. Shape what TENEX investigates next as a senior technical voice.
What You Bring:
At least 6 years in security research, threat intelligence, or detection engineering.
Deep expertise in adversary techniques, malware analysis, or reverse engineering.
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
As a Staff Site Reliability Engineer at TENEX, you will be a key technical driver responsible for ensuring the scalability, reliability, and performance of our AI-driven cybersecurity platform. You will play a crucial role in designing resilient infrastructure, automating operational workflows, and shaping the future of our production environments while collaborating across engineering teams to drive technical excellence.
Culture is one of the most important things at —explore our culture deck at to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
System Resilience: Design, build, and maintain highly available, scalable, and secure infrastructure to support our AI-native cybersecurity platform.
Automation & Tooling: Develop internal tooling and automation to streamline deployment processes, incident response, and capacity planning.
Performance Engineering: Monitor system performance and proactively identify bottlenecks, optimizing infrastructure for low-latency, high-throughput AI workloads.
Incident Management: Lead incident response efforts, conduct post-mortems, and implement long-term solutions to prevent recurring reliability issues.
Infrastructure as Code (IaC): Manage infrastructure via code, driving consistency, auditability, and scalability across our cloud environments (e.g., AWS, GCP).
Cross-Functional Collaboration: Partner with sibling Engineering teams, Product, and Security teams to ensure reliability is baked into our development lifecycle from concept to production.
Required Skills & Qualifications
SRE & Infrastructure Expertise
Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering, particularly in managing production systems at scale.
Cloud Infrastructure: Deep expertise in public cloud environments (AWS, GCP, or Azure) and managing services such as Kubernetes (EKS/GKE), networking, and storage.
Infrastructure as Code: Extensive experience with tools like Terraform, Pulumi, or similar technologies to manage complex infrastructure deployments.
Observability: Hands-on experience with monitoring, logging, and tracing stacks (e.g., Prometheus, Grafana, ELK, Datadog) to drive data-informed reliability decisions.
Distributed Systems: Solid understanding of microservices architecture, distributed databases, and event-driven systems.
Soft Skills
Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
Leadership Alignment: Proven track record of guiding multi-stakeholder initiatives and influencing engineering practices across teams.
Analytical Rigor: Strong problem-solving, debugging, and analytical skills, especially in high-pressure environments.
Nice-to-have
Domain Background: Prior work in cybersecurity, specifically regarding SIEM, EDR, or SOAR infrastructure.
Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
Strong familiarity with Agentic Workflows such as Agno, Temporal, etc..
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Relevant certifications (CKA/CKAD, AWS/GCP Professional Cloud Architect, etc.) are a plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations and system reliability.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
If you're passionate about building resilient infrastructure, scaling AI systems, and working at the intersection of reliability and security, we encourage you to apply!
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
AI/ML Engineer
Location
Remote, USA
Employment Type
Full time
Location Type
Remote
Department
Engineering
Overview
Application
Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
As an AI/ML Engineer at TENEX, you will be a key technical driver responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while collaborating across engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
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.
Required Skills & Qualifications
Software Engineering & Architecture Expertise
Core Engineering: 1 - 3+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
Agentic Systems: Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures.
Graph Architectures: Solid understanding of Graph structures and specifically graph databases.
Orchestration Frameworks: Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems.
Soft Skills
Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
Leadership Alignment: Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.
Analytical Rigor: Strong problem-solving and analytical skills.
Nice-to-have
Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with advanced multi-agent architectures, we encourage you to apply!
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior AI/ML Engineer
Location
Remote, USA
Employment Type
Full time
Location Type
Remote
Department
Engineering
Overview
Application
Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
As a Senior AI/ML Engineer at TENEX, you will be a senior technical leader and architect responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in implementing our AI-driven cybersecurity solutions while collaborating across engineering teams and contributing to technical innovation.
Culture is one of the most important things at TENEX.AI—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
Project Execution: Lead and own the architecture and delivery of 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.
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: 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.
Push the Frontier: Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.
Mentorship: Provide technical mentorship to junior engineers, foster engineering best practices, and contribute to architectural design reviews.
Required Skills & Qualifications
Software Engineering & Architecture Expertise
Core Engineering: 7+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
Agentic Systems: Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures.
Graph Architectures: Solid understanding of Graph structures and specifically graph databases.
Orchestration Frameworks: Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems.
Soft Skills
Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
Leadership Alignment: Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.
Analytical Rigor: Strong problem-solving and analytical skills.
Nice-to-have
Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with advanced multi-agent architectures, we encourage you to apply!
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
We are seeking a Senior Software Engineer to join our core engineering team. You will take ownership of major product and infrastructure initiatives, working across the stack to build scalable, reliable, and secure systems. In this role, you’ll balance being a strong individual contributor with providing technical guidance to peers, ensuring high standards in code quality, design, and execution.
You’ll collaborate closely with product and design teams, making key technical decisions and helping define how our platform evolves. This is an opportunity to work on challenging engineering problems in security, AI, and distributed systems, while growing into a leadership position as the company scales.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities:
Design, develop, and deploy scalable backend services and APIs.
Build and maintain intuitive and performant frontend applications.
Take ownership of projects end-to-end, from architecture through deployment and monitoring.
Collaborate with product, design, and other engineers to define and implement new features.
Write clean, maintainable, and testable code.
Participate in design reviews and code reviews, raising the bar for engineering quality.
Troubleshoot complex issues across the stack and ensure system reliability.
Contribute to improving engineering processes, tools, and team practices.
Stay current with emerging technologies and bring new ideas to the team.
Qualifications
Required:
5+ years of professional software engineering experience.
Strong understanding of software engineering principles and best practices.
Proficiency in at least one backend language such as Go, Python, or equivalent.
Experience with at least one modern frontend framework (React, Next.js, TypeScript, or similar).
Strong experience with relational databases (PostgreSQL, MySQL, or equivalent).
Familiarity with cloud platforms such as GCP or AWS.
Proven ability to take ownership of complex projects and deliver them end-to-end.
Excellent problem-solving, communication, and collaboration skills.
Desired (While experience in all is not required, any of the following would be a plus):
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Experience with CI/CD pipelines.
Exposure to AI/ML concepts and technologies, such as:
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Supervised Fine-Tuning (SFT)
Vector Databases
Experience working in an early-stage startup environment.
Education & Certifications
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
GCP certifications such as Professional Cloud Developer or Professional Data Engineer are a plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!
We practice pay transparency and reward performance. Offers reflect equity, experience, skills, education, and certifications. Base salary for this position in San Jose: $120,000 - $170,000
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Principal AI Engineer
Location
San Jose, CA; Kansas City, MO SOC; Remote, USA; Sarasota, FL HQ
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Overview
Application
Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.
As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
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.
Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
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.
Required Skills & Qualifications
Software Engineering & Architecture Expertise
10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.
Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
Strong fundamentals in API design (REST/gRPC) and distributed systems.
Clear, concise communication skills and a bias for collaborative problem-solving.
Nice-to-have
Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
Experience with graph databases or security-focused knowledge graphs.
Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
Background leading teams in high-growth startups or enterprise SaaS.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and leadership abilities.
Ability to mentor and influence engineering teams.
Passion for cybersecurity and automation.
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Select a role
The full posting opens here — pay, setting and the full description, without leaving the list.