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Principal Product Manager - Threat Intelligence
TENEX.AI · United States
Pay
$135k–265k
Setting
Remote
Principal Product Manager - Threat Intelligence
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 the Principal Product Manager for Threat Intelligence & Threat Hunting at TENEX, you will be a visionary product leader responsible for defining and building the next generation of our proactive defense capabilities. You will own the end-to-end product lifecycle for our Threat Intel and Hunting offerings, transforming complex security data into actionable insights and autonomous defense strategies. This is a high-impact role requiring a rare combination of deep cybersecurity domain expertise and a proven track record of taking zero-to-one products to market in a fast-paced, startup environment.
Job Responsibilities
0-1 Product Leadership: Own the entire lifecycle of our Threat Intelligence and Threat Hunting products from initial concept and discovery through to launch and scaling.
Strategic Roadmap: Define and execute a multi-year product strategy for Threat Intel/Hunting that aligns with TENEX's AI-native mission and maintains our competitive advantage against evolving adversaries.
Domain Expert Integration: Partner with our Detection Engineering and Security Research teams to translate frontier threat research into automated hunting playbooks and real-time intelligence feeds.
Cross-Functional Leadership: Guide engineering, design, and GTM teams through the complexities of building AI-driven security products, ensuring technical investments translate directly to measurable customer security outcomes.
Market & Customer Insight: Conduct deep discovery with security practitioners and CISOs to identify unmet needs in the threat intelligence landscape and build products that solve for alert fatigue and signal-to-noise challenges.
Required Skills & Qualifications
0-1 Experience: Demonstrated success in taking at least one complex cybersecurity product from initial idea to successful market adoption (0 to 1).
Cybersecurity Expertise: Deep domain knowledge in Threat Intelligence (TIP, feeds, attribution) and Threat Hunting methodologies (MITRE ATT&CK, hypothesis-based hunting).
Product Leadership: 8+ years of experience in Product Management within the cybersecurity or enterprise SaaS space, with a bias for technical products and high-growth environments.
AI/ML Fluency: Strong understanding of how LLMs and graph-based reasoning can be leveraged to automate security analyst workflows and threat detection.
Communication: Ability to articulate a clear product vision and complex technical concepts to both executive stakeholders and technical individual contributors.
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Security, or a related field.
Relevant security certifications (e.g., GCTI, GCFA, CISSP) or product management credentials are a significant 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.
Apply for this Job
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Principal Product Manager - AI
TENEX.AI · United States
Pay
$135k–250k
Setting
Remote
Principal Product Manager - AI
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 the Principal Product Manager for AI Strategy at TENEX, you will be a visionary product leader responsible for defining and building the next generation of our AI-native proactive defense capabilities. You will own the end-to-end product lifecycle for our AI-driven security offerings, transforming complex security data into autonomous defense strategies powered by deep LLM integration. This is a high-impact role requiring a rare combination of deep cybersecurity domain expertise and a proven track record of taking zero-to-one AI products to market in a fast-paced, startup environment.
Job Responsibilities
0-1 AI Product Leadership: Own the entire lifecycle of our AI-native cybersecurity products from initial concept and discovery through to launch and scaling.
Strategic AI Roadmap: Define and execute a multi-year product strategy for AI-driven security that aligns with TENEX's automation-first mission and maintains our competitive advantage using advanced LLM architectures.
Domain Expert Integration: Partner with our AI Research and Detection Engineering teams to translate frontier LLM research into automated hunting playbooks and real-time intelligence feeds.
Cross-Functional Leadership: Guide engineering, design, and GTM teams through the complexities of building AI-driven security products, ensuring technical investments translate directly to measurable customer security outcomes.
Market & Customer Insight: Conduct deep discovery with security practitioners and CISOs to identify unmet needs in the AI-driven security landscape and build products that solve for alert fatigue using agentic frameworks.
Required Skills & Qualifications
0-1 AI Experience: Demonstrated success in taking at least one complex AI-driven cybersecurity product from initial idea to successful market adoption.
Deep LLM & AI Knowledge: Strong understanding of how LLMs, multi-agent architectures, and RAG pipelines can be leveraged to automate security analyst workflows.
Cybersecurity Expertise: Deep domain knowledge in threat detection, MDR, and security operations, with the ability to translate technical AI capabilities into security outcomes.
Product Leadership: 8+ years of experience in Product Management within the cybersecurity or AI space, with a bias for technical products and high-growth environments.
Communication: Ability to articulate a clear product vision and complex technical concepts to both executive stakeholders and technical individual contributors.
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Security, or a related field.
Relevant security certifications (e.g., GCTI, GCFA, CISSP) or product management credentials are a significant 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.
Apply for this Job
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
SOC Engineer
TENEX.AI · Overland Park, KS, United States
Pay
$95k–165k
Setting
Hybrid
SOC Engineer
Location
Kansas City, MO SOC; Sarasota, FL HQ; Scottsdale, AZ
Employment Type
Full time
Location Type
Hybrid
Department
Security Operations
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 MDR landscape.
We’re a fast growing startup backed by industry experts and top tier investor Andreessen Horowitz. 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.
As a SOC Engineer, you'll operate across incident response, platform quality, and operational improvement — evaluating telemetry coverage, shaping response automation, handling high-severity escalations, and ensuring the tooling and workflows analysts depend on are fit for purpose. The role carries direct engagement across internal engineering teams and customers, and no shortage of hard problems to solve. We default to automation and AI wherever they produce better outcomes — and we want engineers who think the same way.
What You'll Do
Handle complex incident response and escalation. Take ownership of high-severity and technically complex incidents — leading investigation, driving containment decisions, and communicating findings clearly when it counts.
Assess and improve telemetry and logging coverage. Automate evaluation of customer environments for logging gaps and deficiencies across endpoint, network, identity, and cloud. Specify what's needed for effective detection and investigation, and work with customers and internal teams to close the gaps.
Ensure SIEM and detection quality. Apply deep platform knowledge to evaluate detection fidelity, data normalization, parser quality, and alert logic — identifying where coverage or quality falls short and partnering with detection engineering to address it.
Contribute to response automation quality. Work closely with the SOAR team to review enrichment logic, containment playbooks, and automation design — bringing an incident responder's perspective to what works under pressure and what doesn't.
Support technical needs across the organization. Serve as a knowledgeable resource for forward-deployed engineers, onboarding teams, and customers on questions spanning telemetry, investigation, platform behavior, and response — representing the SOC's technical depth across functions.
Improve SOC tooling and operational workflows. Identify friction in how analysts triage, investigate, and respond. Partner on tooling improvements, process changes, and reference content that raise consistency and quality across the team.
What You Bring
5+ years in security operations, incident response, or detection engineering with demonstrated depth across multiple domains.
Strong fluency in logging and telemetry — able to evaluate an environment's coverage posture, identify deficiencies, and articulate what's needed for effective detection and investigation.
Hands-on experience with SIEM platforms (Google Chronicle, Microsoft Sentinel, and/or Splunk a plus) — enough to understand data modeling, rule architecture, and parser quality, and recognize when a deployment falls short of what our MDR SOC requires.
Solid understanding of response automation — enrichment pipelines, SOAR playbook structure, containment logic — and the judgment to evaluate whether automation is working as intended.
Working knowledge of cloud security architecture in at least one major cloud (AWS, Azure, or GCP), including native log sources and their value for investigation.
Scripting proficiency in Python or PowerShell for automation support, and integration work.
Familiarity applying AI or LLM-based tooling to security workflows — investigation assistance, alert triage, log analysis, or automation — is a strong plus.
Clear, confident communicator across technical and non-technical audiences — customers, engineers, and analysts alike.
Bonus Points
Multi-cloud breadth across AWS, Azure, and GCP security tooling and telemetry.
Experience with IaC (Terraform, CloudFormation) and DevSecOps practices.
Familiarity authoring detection runbooks, investigation guides, or SOC operating procedures.
Splunk Enterprise Security depth — ES notable events, risk-based alerting, correlation search architecture.
Container and Kubernetes security monitoring exposure.
Experience building or evaluating AI-assisted security tooling, agentic workflows, or LLM-augmented investigation and response.
Education & Certifications
Bachelor’s degree in Computer Science, Information Security, or a related field, OR equivalent work experience.
Relevant certifications — CISSP, GCIH, GCFE, GCDA, GREM, AWS/GCP security, or SIEM platform certifications — are a plus.
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Sales Enablement/Trainer
TENEX.AI · United States
Pay
Not listed
Setting
Remote
Sales Enablement/Trainer
Location
Remote, USA
Employment Type
Full time
Location Type
Remote
Department
Sales
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 we scale our go-to-market organization, we're hiring a Sales Trainer to make every seller — from SDRs to enterprise account executives — faster to ramp, sharper in the field, and more effective at selling a technical, AI-driven security product. This is a high-impact individual-contributor role for someone who loves building enablement that visibly moves the needle on rep performance.
The Role
As our Sales Trainer, you'll own the design and delivery of training that turns new hires into productive sellers and helps tenured reps level up. You'll build onboarding curricula, run live and virtual training sessions, coach reps on discovery and demo skills, and partner closely with sales leadership and product marketing to keep our messaging and methodology sharp. You'll measure what's working and continuously improve the program.
What You'll Do
Build and run sales onboarding. Design and deliver a structured ramp program that gets new SDRs, AEs, and sales engineers selling confidently within their first 90 days.
Deliver ongoing enablement. Lead recurring live and virtual training on sales methodology, discovery, objection handling, competitive positioning, and demo skills.
Coach in the flow of work. Conduct call reviews, role-plays, and 1:1 coaching to reinforce skills and close performance gaps identified with sales managers.
Translate a technical product. Partner with product marketing and SEs to help reps clearly articulate our AI-native MDR value to both technical and executive buyers.
Own enablement content. Create and maintain playbooks, talk tracks, certification paths, and just-in-time resources in our enablement and LMS tools.
Drive methodology adoption. Embed a consistent sales framework (e.g., MEDDICC / Command of the Message) across the team and reinforce it through training and inspection.
Measure impact. Track ramp time, certification completion, and the link between enablement and pipeline and win-rate metrics; report results to GTM leadership.
Iterate constantly. Gather feedback from reps and managers and refine programs to keep pace with new products, segments, and competitors.
What You'll Bring
4+ years in sales enablement, sales training, or quota-carrying B2B sales — ideally with time spent in both selling and enablement roles.
Experience selling or enabling technical products, preferably in cybersecurity, SaaS, or another fast-moving B2B technology category.
A track record of building training programs that measurably shortened ramp time or improved rep performance.
Strong facilitation and coaching skills — you can hold a room (virtual or in person) and give feedback that reps actually act on.
Fluency in modern sales methodology (MEDDICC, Command of the Message, Challenger, or similar) and the ability to teach it.
Comfort with enablement tooling — LMS, call-recording/conversation-intelligence platforms (e.g., Gong), and CRM (Salesforce or similar).
Excellent communication and content-creation skills and a self-starter mindset suited to a remote, fast-scaling environment.
Nice to Have
Background in cybersecurity, SOC operations, or selling to security buyers (CISO, security engineering).
Experience standing up an enablement function or onboarding program at a high-growth startup.
Familiarity with selling AI or automation-driven products to technical audiences.
What We Offer
Competitive base salary plus equity in a fast-growing, well-funded company.
Comprehensive medical, dental, and vision coverage.
Fully remote work within the United States with flexible time off.
A direct, visible impact on revenue at a company defining the AI-native security category.
Equal Opportunity
TENEX.AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
IT Administrator
TENEX.AI · Overland Park, KS, United States
Pay
$80k–140k
Setting
Hybrid
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Security Engineer
TENEX.AI · Overland Park, KS, United States
Pay
$120k–220k
Setting
Hybrid
Security Engineer
Location
Kansas City, MO SOC; Sarasota, FL HQ
Employment Type
Full time
Location Type
Hybrid
Department
G&A
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.
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.
This role will require 4 days onsite in Overland Park, KS.
The Opportunity: We're looking for a highly motivated and skilled Security Engineer to join our dynamic team. This pivotal role is perfect for an IT administrator with a strong foundational understanding of security, eager to evolve into a full-fledged security specialist. You'll play a crucial role in safeguarding our entire IT infrastructure and digital assets, including those of our valued customers. You will be designing, implementing, and optimizing cutting-edge security controls and building out robust security capabilities from the ground up. You'll be instrumental in ensuring seamless IT operations while proactively strengthening TENEX's and our customers’ security posture against an ever-evolving threat landscape through robust engineering practices and intelligent automation.
What You'll Do:
Security Engineering & Operations:
Design, implement, and maintain a diverse suite of security tools and technologies, including next-generation firewalls, Endpoint Detection and Response (EDR) solutions, Security Information and Event Management (SIEM) systems, Multi-Factor Authentication (MFA), and Zero Trust Network Access (ZTNA) solutions.
Conduct comprehensive security gap assessments to identify vulnerabilities and weaknesses, proposing and implementing effective remediation strategies.
Actively assist with customer success initiatives by providing security expertise, integrating our solutions into customer environments, and addressing their specific security requirements.
Collaborate closely with our Security Operations Center (SOC) to enhance threat detection, incident response capabilities, and forensic analysis.
Contribute significantly to the development and enforcement of robust security policies, standards, and procedures across the organization.
Lead system hardening efforts for operating systems, applications, and network devices to minimize attack surfaces and enhance resilience.
DevOps Security Integration & Automation:
Champion the integration of security throughout the DevOps lifecycle, helping to build and mature our "security-as-code" capabilities.
Leverage APIs extensively to integrate various security tools with IT systems, enabling advanced automation and improved security orchestration. This includes automating alert enrichment, threat intelligence ingestion, vulnerability scanning, and automated containment actions in response to security incidents.
Develop and implement automated security workflows to streamline security operations, improve efficiency, and reduce manual intervention.
Requirements:
Experience: A minimum of 2+ years of progressive experience in IT, with at least 2 years specifically focused on cybersecurity operations or engineering.
Technical Skills:
Hands-on experience with ZTNA, Mobile Device Management (MDM), EDR solutions (e.g., SentinelOne), and network security concepts (TCP/IP, DNS, routing, switching, VPNs).
Demonstrated experience in configuring, managing, and troubleshooting security tools such as firewalls, SIEM platforms (e.g., Google SecOps, Splunk, Microsoft Sentinel), and vulnerability scanners.
Solid understanding of cloud security principles and best practices across major cloud providers (GCP, AWS, Azure).
Familiarity with DevOps concepts including CI/CD pipelines, Infrastructure as Code (IaC), and secure coding practices.
Strong scripting skills (e.g., Python, PowerShell) for automation, API integration, data analysis, and custom tool development are highly desirable and critical for this role.
Soft Skills:
Exceptional problem-solving abilities with a methodical approach to complex technical challenges.
Outstanding written and verbal communication skills, capable of clearly articulating technical concepts to both technical and non-technical audiences.
Strong collaboration skills and a proven ability to work effectively within cross-functional teams.
Proactive and self-driven with a keen eye for detail and a steadfast commitment to security best practices and continuous improvement.
Bonus Points If You Have:
Experience with Security Orchestration, Automation, and Response (SOAR) platforms.
Expert proficiency in Google Workspace administration, Google Cloud Platform, and identity management solutions (e.g., Google Cloud Identity).
Familiarity with compliance frameworks (e.g., ISO 27001, NIST, SOC 2).
A passion for staying up-to-date with the latest cybersecurity trends and emerging threats.
Why Join TENEX?
Impactful Work: Be at the forefront of securing our organization and our customers, making a tangible difference every day.
Growth & Development: This role offers a unique opportunity to grow your IT administration skills into advanced security engineering, with a clear path for career progression.
Innovative Environment: Work with cutting-edge technologies and contribute to building out advanced security capabilities.
Collaborative Culture: Join a supportive and highly skilled team where your contributions are valued, and continuous learning is encouraged.
Competitive Compensation: We offer a comprehensive salary and benefits package designed to attract and retain top talent.
Ready to help us build a more secure future? Apply now! We're excited to see how your skills and passion can contribute to our mission.
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
AI/ML Engineer II
TENEX.AI · San Jose, California, United States
Pay
$135k–270k
Setting
On-site
AI/ML Engineer II
Location
San Jose, CA; Kansas City Metro; Sarasota, FL HQ
Employment Type
Full time
Location Type
On-site
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 II Engineer at TENEX, you will be a key technical contributor 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: Ability to drive and deliver 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: 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: 3-5 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
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
AI/ML Engineer
TENEX.AI · United States
Pay
$135k–270k
Setting
Remote
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
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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
TENEX.AI · United States
Pay
$155k–275k
Setting
Remote
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
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Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
AI Enablement Engineer
TENEX.AI · Overland Park, Kansas, United States
Pay
$95k–165k
Setting
On-site
AI Enablement Engineer
Location
Kansas City Metro; San Jose, CA; Sarasota, FL HQ
Employment Type
Full time
Location Type
On-site
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 Enablement Engineer at TENEX, you will partner with our current AI Engineer to build TENEX's internal AI platform: the reusable tools, integrations, and AI work companion that help every TENEX'er do their best work. You will partner with teams across the company to surface needs that shape our platform roadmap, then own that roadmap and ship against it predictably. This role is internal-facing. Your "customers" are your colleagues, and your impact is measured by how much faster, smarter, and more leveraged TENEX becomes because of the platform you build.
This role is right for someone who finds satisfaction in building systems that scale beyond themselves, who would rather embed AI fluency across the company than be the only person who can do this work.
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 through Thursday onsite in our Kansas City office (preferred), with San Jose or Sarasota, FL also considered. WFH Friday. Candidates must live in or be willing to relocate to one of these three cities.
Job Responsibilities
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.
Required Skills & Qualifications
Anthropic Claude ecosystem expertise
Has shipped real work using Anthropic's Claude products, including Claude.ai, Claude Code, Cowork, Projects, custom skills, and MCP connectors. Tutorial-level familiarity is not enough. You should be able to point to things you've built that are actually in use by other people.
Comfortable using Claude Code for technical work, including building scripts, integrations, and tooling.
Strong prompt engineering instincts and an ability to translate vague user needs into clear, scoped AI workflows.
Familiarity with Gemini Enterprise is a plus, as we also use it.
Engineering fundamentals
5+ years of experience in software development. Python is preferred. Comfort with REST APIs, webhooks, and JSON-based integrations is required.
Comfortable working across the integration surface: reading API docs, configuring webhooks, debugging auth flows, building lightweight services that connect tools together.
Familiarity with version control (Git/GitHub) and modern engineering practices.
Demonstrated ability to design and build for reuse. You see common patterns across requests and abstract them into platform capabilities rather than building one-off solutions every time.
Security and data handling
Strong instincts for protecting sensitive data. You understand that internal AI workflows must be designed with strict guardrails around what data they can access, especially when customer information, employee information, or internal IP could be in scope. You build accordingly.
Demonstrated production experience working with sensitive data (PII, customer data, internal IP, or regulated data). You can speak to specific decisions you've made to protect it.
Familiarity with AI-specific security risks: prompt injection, data leakage to third-party LLMs, unsanctioned tool use, output misuse. You consider these risks proactively, not retroactively.
Working knowledge of secrets management, secure SDLC practices, and the basics of compliance frameworks (e.g., SOC 2).
Communication and cross-functional skills
Can sit with a CSM, finance lead, recruiter, or executive and translate their workflow into something AI can help with, without condescension, without overengineering, and without losing patience.
Comfortable presenting to groups: running training sessions, demoing new tools at all-hands meetings, hosting AMAs.
Strong written communication. You will write documentation, policy drafts, status updates, and company-facing announcements.
Comfortable saying "no" or "not yet" when an idea isn't ready, scoped, or appropriately resourced.
Nice-to-have
Experience building or maintaining an internal AI platform at another company.
Familiarity with Asana, Atlassian (Jira/Confluence), Google Chat, Google Workspace, Salesforce, Ashby, or other common B2B SaaS tools we integrate with.
Background in change management, technical writing, or internal enablement.
Experience with cybersecurity, even at a basic level, since several of our internal workflows involve our security and detection teams.
Hands-on experience with AI governance, AI security tooling, or AI usage monitoring platforms.
Soft skills
Strong consultative instincts. You naturally ask "why" and "what does success look like" before building.
Curious about other people's work. Energized by helping non-technical teammates use AI effectively.
Self-directed. You will not have someone managing your daily work, and you will be expected to triage, prioritize, and execute independently.
Bias toward shipping, paired with predictable execution. We move fast, iterate, and deliver against committed timelines.
Platform mindset. You think about how to make your work multiply through other people rather than scaling only with your own time.
Education & Certifications
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Anthropic certifications, AI/ML certifications, or security-related credentials are a plus but not required.
Apply for this Job
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