--- title: 'Director of Engineering (Data Platform) at Vectra' canonical: 'https://feeny.ai/job/director-of-engineering-data-platform-vectra-austin-texas-z3dvjyvsa17r' type: 'job' last_seen: '2026-09-13' --- # Director of Engineering (Data Platform) at Vectra - **Company:** Vectra - **Location:** Austin Texas, United States - **Compensation:** $189k–$222k - **Posted:** 2026-06-16 - **Last confirmed live:** 2026-09-13 - **Apply:** https://www.vectra.ai/about/jobs?gh_jid=7942221 ## Job description Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Director of Engineering – Data Platform ## About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response.Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities. The Opportunity We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up. ## What You'll Do People and Organizational Leadership - Build, grow, and mentor high-performing engineering teams across multiple geographies. - Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment. - Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work. - Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work. Cross-Functional Leadership - Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams. - Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership. - Partner with customer-facing teams to understand evolving data requirements and scaling challenges. - Influence company-wide direction around data, AI, and platform capabilities. Execution and Operational Excellence - Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed. - Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives. - Own production operations, incident management, and continuous improvement. - Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health. Technical Strategy and Platform Direction - Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects. - Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams. - Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure. - Champion the use of AI to improve engineering productivity, software delivery, and incident response. ## What You'll Bring Required - 10+ years of software engineering experience, including 5+ years leading engineering organizations. - Proven track record building and operating large-scale data platforms in production. - Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems. - Champion the use of AI to improve engineering productivity, software delivery, and incident response. - Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem. - Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure. - Operational mindset: SRE principles, incident response, and a culture of reliability. - Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving. ## Preferred - Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains. - Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP. - Background in real-time detection systems or streaming analytics What Success Looks Like - A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use. - Faster time-to-production for analytics, detections, and AI-powered applications. - Reduced time from telemetry ingestion to model experimentation and deployment. - High-performing teams with strong leadership pipelines and a culture people want to stay in. - Industry-leading infrastructure supporting both advanced detections and autonomous security operations. ## Why This Role Matters Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead. You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $189,000—$222,300 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. ## About Vectra ## Company Overview - **One-liner**: Vectra AI is a cybersecurity company that uses AI-driven behavioral analysis to detect, investigate, and respond to cyber threats across hybrid and multi-cloud environments. - **Entity Type**: Private (funding stage: Series F) - **Headquarters**: San Jose, California, United States - **Founded**: 2011 - **Founders**: Not publicly available as founders; the current CEO is Hitesh Sheth. ## Core Business - **Primary industry/industries**: Cybersecurity, specifically Network Detection and Response (NDR), Identity Threat Detection and Response (ITDR), and AI-driven threat detection. - **Target customers**: B2B, primarily mid-market and Enterprise security teams. - **Mission or purpose statement**: "Make the world a safer and fairer place with AI." ## Products & Services - **Vectra AI Platform**: An AI-native platform that provides continuous, real-time threat detection, investigation, and response across on-premises, multi-cloud, identity (M365), and IoT/OT environments. It focuses on behavioral AI to understand attacker movements and reduce noise. - **Attack Signal Intelligence**: The core AI engine that correlates data across network, cloud, and identity to prioritize real attacks. - **Cloud Detection & Response**: Expanded capabilities following the acquisition of Netography in 2025, providing scalable SaaS analysis of flow and DNS logs across AWS, GCP, Azure, and OCI. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric (Total Funding)**: Not publicly disclosed in the search results; the company is at the Series F stage. - **Notable Investors/Partners**: Microsoft (named Vectra AI the #1 Security Customer Champion in the Microsoft Security Excellence Awards 2023). Partners include 468 transacting channel partners. - **Growth Signals**: - Named a **Leader in the 2026 Gartner® Magic Quadrant™ for Network Detection and Response**. - Named a **Leader and Outperformer in the 2025 GigaOm Radar Report for Network Detection and Response**. - Recognized in the **Forbes AI 50** list. - Holds **39 patents** in AI threat detection. - **Most-referenced** in MITRE D3FEND (12 references). - **1,700+ customers** and growing. - **7M+ hosts monitored** across **113 countries**. - Acquired **Netography** in October 2025 to enhance multi-cloud visibility. ## Competitive Advantages - **AI-Native Architecture**: Built from the ground up with behavioral AI, not bolted on. This provides high signal clarity (80%+ alert fidelity) and a 38x lighter analyst workload. - **Network as Source of Truth**: Believes network data is the most reliable source for understanding real attacker behavior, providing visibility across silos (network, cloud, identity). - **High MITRE ATT&CK Coverage**: Over 90% coverage, making it a top choice for mature security teams. - **Strong Analyst Recognition**: Consistently ranked as a leader in NDR by Gartner, GigaOm, and QKS Group. ## Strategic Focus - **Agentic AI & Automation**: Deepening AI-assisted and agentic workflow automation to help defenders move faster. - **Multi-Cloud Dominance**: Expanding cloud visibility and detection capabilities, especially following the Netography acquisition. - **Reducing Exposure**: Moving beyond detection to proactively reduce risk by identifying and prioritizing attack exposure. - **Customer Obsession**: Maintaining a "customer first" culture, evidenced by a 95%+ customer retention rate. ## Why Work Here - **Culture**: Described as "no drama teamwork," focused, collaborative, and low on politics. Core values include Integrity, Customer First, Speed, and No Drama Teamwork. - **Flexible Workplace**: High-trust, flexible environment. Most roles allow for managing your own hours. - **Benefits**: Competitive benefits including medical, dental, and vision insurance at no cost for employee coverage in most locations, generous paid time off, employee equity program, and on-demand learning through "VectraVersity." - **Mission-Driven**: Opportunity to work on a meaningful mission—making the world a safer and fairer place with AI—at one of the fastest-growing AI companies in cybersecurity. - **Employee Reviews**: Employees highlight work-life balance, a healthy culture of friendly and hardworking people, honest management, and exciting tech. (e.g., "Work life balance and employee wellness is a focus" - Recruiter; "Solid culture and values. Honest management. Exciting tech." - Software Engineer). - **Headcount**: 580+ employees and growing. ## Sources 1. [vectra.ai](https://www.vectra.ai/) 2. [vectra.ai/about](https://www.vectra.ai/about) 3. [vectra.ai/about/careers](https://www.vectra.ai/about/careers) 4. [linkedin.com/company/vectra_ai](https://www.linkedin.com/company/vectra_ai) 5. 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