--- title: 'Senior Data Scientist at TENEX.AI' canonical: 'https://feeny.ai/job/senior-data-scientist-tenex-ai-san-jose-nakx17xgp35g' type: 'job' last_seen: '2026-09-08' --- # Senior Data Scientist at TENEX.AI - **Company:** TENEX.AI - **Location:** San Jose, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-11-25 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/tenex/92439d53-0749-4486-b50b-dc908169676f ## Job description 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. We’re a fast-growing startup backed by Andreessen Horowitz. As an early employee, you’ll help shape our culture and have meaningful ownership over high-impact initiatives. This is a unique opportunity to join a small but well-funded team on the ground floor as we build the next-generation cybersecurity platform. We are expanding our engineering organization and seeking a Senior Data Scientist to design, build, and deploy the machine learning models that power our AI-driven cybersecurity platform. This role is foundational in delivering high-fidelity threat detection, automating response actions, and generating predictive security intelligence across TENEX. Culture is one of the most important things at TENEX.AI http://TENEX.AI—explore our culture deck at culture.tenex.ai http://culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work. This is an in-person opportunity based in our San Jose, CA office where you will be expected to work out of 4 days a week. ## Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of machine learning models: from ideation and research to production deployment and monitoring. You will leverage large volumes of cybersecurity and operational data to create models that enhance our Managed Detection and Response (MDR) capabilities, including anomaly detection, threat scoring, and automated alert triage. You’ll work closely with Security Operations, Product, and Data Engineering teams to translate complex security challenges into data science problems, ensuring our AI/ML solutions are effective, scalable, and directly contribute to our clients' security outcomes. This role combines deep analytical rigor with practical engineering to deliver mission-critical AI for cybersecurity. Job Responsibilities: AI/ML Model Development - Design, develop, train, and deploy high-performance machine learning models for critical security tasks such as threat detection, anomaly scoring, and behavioral analytics. - Conduct feature engineering and selection on vast, high-velocity streams of security data (logs, network telemetry, endpoint data). - Own the model lifecycle, including versioning, rigorous testing, and continuous improvement through MLOps best practices. Research & Innovation - Stay up-to-date on state-of-the-art research in data science, deep learning, and security-specific AI to drive platform innovation. - Explore novel statistical methods and machine learning techniques to tackle emerging and sophisticated cyber threats. - Design and implement A/B testing and evaluation frameworks to measure the impact and performance of deployed models. Data & Feature Engineering - Partner with Data Engineers to define, preprocess, and structure large, complex datasets for model training and inference. - Implement and manage data pipelines specifically for feature extraction and model serving. - Leverage vector databases and RAG (Retrieval-Augmented Generation) pipelines for enhanced security context and large language model applications. Cross-Functional Collaboration - Work closely with Security Operations to understand real-world threat landscapes and ensure model outputs are actionable and integrated into workflows. - Collaborate with Product Managers to define AI features and translate model performance into measurable business value. - Present complex analytical findings and model behavior clearly to technical and non-technical audiences. Required Skills & Qualifications: - 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related quantitative field. - Strong theoretical and practical experience with a wide range of ML models (e.g., classification, clustering, time-series, deep learning). - Proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). - Expertise in SQL and experience working with large-scale data warehouses (Snowflake, BigQuery, or Redshift). - Demonstrated experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow/Dagster for orchestration). - Solid understanding of probability, statistics, and experimental design. - Experience deploying and maintaining models in a cloud environment (GCP or AWS). - Excellent communication skills with the ability to drive projects autonomously and translate business needs into technical requirements. Desired: - Prior experience applying data science/ML in the cybersecurity or security analytics domain, particularly in MDR or MSSP environments. - Experience with real-time / streaming data systems (Kafka, Pub/Sub, Kinesis) for low-latency threat detection. - Familiarity with the use of Vector Databases and RAG architectures. - Experience with modern analytics engineering frameworks. - Experience working in an early-stage startup environment. Education & Certifications - Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). - Relevant certifications in Data Science or Cloud ML Platforms 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. ## About TENEX.AI ## Company Overview - **One-liner**: TENEX.AI is the first AI-native, human-led Managed Detection and Response (MDR) provider, built from the ground up to deliver 10x faster threat detection and response. - **Entity Type**: Private (Series B, $277M total funding) - **Headquarters**: Sarasota, FL, United States - **Founded**: 2024 - **Founders**: Eric Foster (CEO), Venkata Koppaka (Co-Founder & CTO), Jan Grzymala-Busse (CISO & Head of Security Operations), Elias “Lou” Manousos (Chairman), Ryan Shreve (Co-Founder & CRO), Edwin Solis (Co-Founder & CFO/COO) ## Core Business - **Primary industry**: Cybersecurity – Managed Detection and Response (MDR), threat intelligence, security automation, and incident response. - **Target customers**: Mid-market to global enterprises (B2B), also SMBs with flexible pricing. - **Mission**: “Deliver 10x better security outcomes, faster and more cost-effectively than legacy providers.” ## Products & Services - **AI-Native MDR (Managed Detection & Response)**: Core service that uses domain-specific AI to triage every alert in under a minute, then empowers human analysts to investigate and respond. Includes 24/7 U.S.-based analysts with 8+ years average experience. - **Essential AI-Native MDR**: A standardized, lower-cost tier for smaller organizations (pricing from $99,000/year). - **Bespoke MDR**: Customized service for complex, mission-critical environments with dedicated engineering team, flexible contract, and quarterly executive briefings. - **Google Cloud Security Operations**: Implementation, management, and optimization of Google Security Operations platform (TENEX is a leading Google Cloud partner). - **Platform Training & Education**: Customer training on the TENEX platform and security operations best practices. - **Dashboards & Reports**: Continuous visibility and reporting for security posture. ## Market Standing - **Valuation**: Not publicly disclosed. - **Total Funding**: $277M across three rounds: - Seed (Jan 2025): Led by **Andreessen Horowitz (a16z)** - Series A (Oct 2025): $27M led by **Crosspoint Capital Partners** - Series B (Mar 2026): $250M led by **Crosspoint Capital Partners** (also a16z, Shield Capital participated) - **Key Metric**: 505.9% year-over-year headcount growth (74 employees as of early 2026); 108 active job postings. - **Notable Investors/Partners**: Andreessen Horowitz (a16z), Crosspoint Capital Partners, Shield Capital; Google Cloud (strategic partner). - **Growth Signals**: Scaling from 1 to 3 offices (Sarasota, Overland Park, San Jose); rapid hiring across engineering, sales, and threat detection; leadership team includes former Google Security executives and founders of RiskIQ and Cyderes. ## Competitive Advantages - **AI-native architecture**: Built from the ground up for AI, not retrofitted. Domain-specific models understand attacker behavior, not just patterns. - **Human-led, AI-powered**: AI handles 100% of alerts at machine speed; human experts focus on complex threats. 95% fewer false positives, <1-minute mean time to triage (MTTX). - **Elite founding team**: Veterans from Google Cloud Security (original Chronicle team), RiskIQ, Cyderes, Fishtech Group, and national security. - **Deep Google Cloud expertise**: TENEX is the go-to partner for Google Security Operations, managing over 75% of Google’s security business at peak. - **Flexible, scalable pricing**: From $99K/year Essential tier to fully bespoke enterprise solutions, making premium MDR accessible to a wide range of budgets. ## Strategic Focus - **Scale through AI, not headcount**: Use automation to multiply analyst efficiency rather than linearly adding people. - **In-person collaboration**: All three offices are on-site-first; the company believes “bold innovations emerge from in-person collaboration.” - **Continuous learning and adaptation**: The AI platform learns from every environment and analyst feedback, staying ahead of emerging threats. - **Expansion into mid-market**: The Essential tier targets smaller organizations that previously couldn’t afford premium MDR. ## Why Work Here - **Culture**: “AI-native, human-led” – the company values elite human expertise alongside advanced AI. “We’re AI-native, born AI, built AI, think AI, and actively searching for the best human minds in cybersecurity.” - **Work model**: On-site-first in three locations: Sarasota, FL (HQ); Overland Park, KS; San Jose, CA. Aggressive relocation packages including moving expense reimbursement, temporary housing, family transition support. - **Benefits**: Comprehensive health (Medical, Dental, Vision); 100% 401k match up to 6%; long-term incentives; professional development opportunities; continuous learning culture. - **Growth trajectory**: Rapidly scaling (505% YoY headcount growth) with 108 open positions across engineering, product, sales, and security operations. Opportunity to shape the future of AI-driven security. - **Team**: 72% of employees in the US, with a strong technical base (39% in technical roles). Executives hail from Google, Microsoft, Cyderes, ReliaQuest, and other top security firms. ## Sources 1. [tenex.ai](https://tenex.ai/) 2. [tenex.ai/about-us](https://tenex.ai/about-us/) 3. [linkedin.com/company/tenex-ai](https://www.linkedin.com/company/tenex-ai) 4. [tenex.ai/careers](https://tenex.ai/careers/) 5. [tenex.ai/careers/open-positions](https://tenex.ai/careers/open-positions/) ## Other roles at TENEX.AI - [Principal DevOps Engineer](https://feeny.ai/job/principal-devops-engineer-tenex-ai-san-jose-e84nhzbq37sk) — San Jose, CA - [Administrative Assistant](https://feeny.ai/job/administrative-assistant-tenex-ai-scottsdale-zd8gnayx6tnz) — Scottsdale, AZ - [Head of Communications, Public Relations & Analyst Relations Marketing](https://feeny.ai/job/head-of-communications-public-relations-analyst-relations-marketing-tenex-ai-qzvry73dx1x1) — United States - [Senior Technical Program Manager](https://feeny.ai/job/senior-technical-program-manager-tenex-ai-united-states-1nc6s4kfnkqk) — United States - [Manager, Customer Success Operations](https://feeny.ai/job/manager-customer-success-operations-tenex-ai-sarasota-h1hw76n8ts8g) — Sarasota, FL - [Director of Forward Deployed Engineering](https://feeny.ai/job/director-of-forward-deployed-engineering-tenex-ai-qymr6qpgxw07) - [Inside Sales Manager](https://feeny.ai/job/inside-sales-manager-tenex-ai-y2ebcbx44eh1) - [Inside Sales Representative](https://feeny.ai/job/inside-sales-representative-tenex-ai-feha6menq4ge) - [Sales Operations Associate-EMEA](https://feeny.ai/job/sales-operations-associate-emea-tenex-ai-united-kingdom-fbbbrxfvbx2y) — United Kingdom - [Senior Security Researcher](https://feeny.ai/job/senior-security-researcher-tenex-ai-scottsdale-pe346ejjqpej) — Scottsdale, AZ