Undelucram.ro on behalf of: Crowdstrike SRL About the Role: CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do: Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need: Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance.

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance.

Job Title: Director of Engineering (Remote) Location: Remote (North America preferred) Reports to: CTO Team Size: 15+ Engineers Type: Full-Time Location: Remote (North America) About TOOLBX: TOOLBX is a technology company dedicated to digitizing the building supplies industry. We provide a comprehensive software platform for manufacturers distributors and dealers offering features such as e-commerce quoting invoicing payments and customer portals that integrate with existing ERP systems. Our mission is to streamline operations and enhance the digital capabilities of construction suppliers across North America. The Opportunity Our CTO has built and scaled a talented team of 15+ engineers and is now shifting focus toward AI innovation architectural direction and core product development. We’re hiring a seasoned VP or Director of Engineering to take over day-to-day management of the engineering team empowering developers driving team productivity and optimizing how we ship high-quality software. You’ll be responsible for leading and growing a remote engineering organization driving structure and process and ensuring alignment with the business and product strategy. What You'll Do Lead and manage a remote team of 15+ engineers across frontend backend and infrastructure Drive the execution of product roadmap initiatives in collaboration with Product Design and Leadership Establish engineering best practices around code quality testing documentation and continuous delivery Hire coach and mentor engineers and team leads—helping them grow and succeed Build scalable processes for planning execution and feedback (e.g. sprint planning retrospectives OKRs) Provide architectural guidance and technical leadership in alignment with the CT Promote a culture of accountability psychological safety and continuous improvement Own key engineering KPIs such as velocity incident response uptime and team satisfaction Our Stack Frontend: React TypeScript Backend: Node.js Express PostgreSQL Cloud: AWS Algolia Google Cloud DevOps: GitHub Actions Terraform Docker Tools: Slack Figma Asana What We're Looking For 7+ years of engineering leadership experience with at least 3 years managing remote or distributed teams Proven success leading high-performing engineering organizations in fast-paced startup environments Strong technical background—comfortable engaging in architectural conversations (especially in Node.js / React environments) Track record of recruiting retaining and scaling diverse engineering teams Skilled in building frameworks for velocity reliability and team health Effective communicator who can align engineering execution with company goals Entrepreneurial mindset—proactive adaptable and thrives in ambiguity Nice to Have Experience in enterprise SaaS - payments e-commerce customer portals Exposure to AI or machine learning platforms Background in managing cross-functional pods or squads (engineering product design) Hands-on experience with modern dev workflows (CI/CD trunk-based development etc.) Why Join Us Shape the future of a platform transforming a $1T+ legacy industry Work directly with a product-driven CTO and founder-led team that values engineering deeply Help scale a company with real traction—70+ dealers $5B+ in revenue processed 100% remote team culture with flexibility ownership and growth Competitive compensation stock options and benefits

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: PlanSource is a leading cloud-based provider of benefits administration technology and services focused on simplifying how people manage benefits through AI-powered experiences. They are seeking a strategic Director of Security Engineering and Operations to lead their security infrastructure and operations ensuring the protection of sensitive data and services for clients in the HR and benefits technology ecosystem. Responsibilities: • Define and execute the roadmap for enterprise-wide security engineering and operations. • Lead mentor and develop a high-performing team of security engineers analysts and architects. • Partner with the CISO on security program design incident response readiness and budget planning. • Oversee the architecture implementation and maintenance of security tools and technologies (e.g. EDR/XDR WAF Messaging Security Data Loss Prevention etc). • Integrate with internal processes for ITSM Change Management Release Management and Review Boards. • Drive adoption of security solutions and services to enable the business to respond to our market quickly and securely. • Ensure that runbooks guidelines and procedures are maintained for all security solutions and capabilities. • Direct 24/7 operational management of threat detection alerting and incident response working with PlanSource’s MDR service. • Establish SLAs operational runbooks and escalation protocols for the Security Operations Center (SOC). • Lead response efforts to security incidents in coordination with Legal IT and Communications teams. • Perform semi-annual Incident Response tabletop exercises. • Establish and maintain reportable metrics covering the performance of our cyber security solutions services and capabilities. • Support audits compliance efforts (e.g. SOC 2 HIPAA ISO 27001) and vulnerability remediation. • Continuously assess gaps in tooling and coverage through tabletop exercises red/purple team tests and control evaluations. • Collaborate with the GRC team on policies metrics and board-level reporting. Qualifications: Required: • 10+ years of experience in cybersecurity with at least 5 years leading security engineering and operations teams. • Proven success implementing and overseeing tools such as EDR/XDR DLP WAF PAM etc. • Experience with cloud security operations (AWS and Azure) and hybrid infrastructure environments. • Strong knowledge of cybersecurity frameworks (e.g. NIST CSF MITRE ATT&CK ISO 27002). • Track record of incident response leadership and coordinated mitigation for real-world threats. • Understanding of DevSecOps practices CI/CD pipeline security and secure code delivery. • Excellent leadership communication and cross-functional collaboration skills. Preferred: • Bachelor's degree in Information Security Computer Science Management & Information Systems or related field is preferred. • Industry certifications preferred: CISSP CISM GSEC or GIAC/GCIH. • Previous experience in a SaaS healthcare fintech or regulated industry is a strong plus. Company: PlanSource is a technology company that automates employee benefits programs. Founded in 2008 the company is headquartered in Orlando Florida USA with a team of 501-1000 employees. The company is currently Late Stage. PlanSource has a track record of offering H1B sponsorships.

Jobright.ai is an AI-powered career platform that helps you discover verified jobs directly from employer sites across the U.S. and tailor your applications with ease. Please note: Jobright is not a staffing agency and does not hire for these roles directly. Job Summary: Ashby is a rapidly growing company seeking an Engineering leader to manage and scale their Engineering department in the Americas. The role involves overseeing a remote team of engineers fostering a unique culture and driving the growth of the team from 20 to 40 engineers over the next year. Responsibilities: • Manage a remote team of 20 engineers and 2 EMs. • Grow the team to 40 engineers and 5-6 EMs over the next year. • Work closely with the Co-Founder and VP of Engineering to scale the Engineering culture. • Build impressive products and establish the cultural norms and processes of the Engineering department. Qualifications: Required: • Experience building impressive products as an individual contributor (IC) • Experience building a team of amazing Engineers • Experience establishing cultural norms and processes of an entire Engineering department • Experience managing managers • Strong coding skills and staying up-to-date on technology • Experience leading the definition and evolution of the culture and processes of an entire Engineering department • Ability to thrive in an environment that values ownership and autonomy • Optimism about building a large engineering team that functions differently from the status quo Preferred: • Experience as a Principal Engineer or similar role • Experience in managing a remote team • Experience in scaling engineering teams Company: Ashby develops human resource software to assist companies with hiring and manpower management. Founded in 2018 the company is headquartered in San Francisco California USA with a team of 51-200 employees. The company is currently Late Stage.

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Stairwell is a pioneering company providing security solutions with a focus on automated threat detection and response tools. They are seeking a VP of Engineering to lead the development of a complex distributed system for malware discovery and analysis while also building and nurturing a high-performance engineering team. Responsibilities: • Drive execution across core platform infrastructure detection pipelines artifact ingestion and customer integrations. • Translate product direction and threat research into system architecture engineering plans and shipped software. • Balance speed with quality. Prioritize ruthlessly. Deliver predictably. • Build a high-performance engineering org - sharp low-ego engineers who care about the work and the mission. • Hire experienced accountable engineers who thrive with autonomy. Set high standards early make expectations explicit and raise the bar as the company grows. • Create a culture of ownership curiosity and continuous improvement - where everyone knows what good looks like. • Work shoulder-to-shoulder with the CTO to align technical vision with product and company strategy. • Partner with Threat Research to turn detection insights into capabilities. • Partner with Sales Engineering and Customer Success to ensure we’re building solutions that matter in the field. • Represent engineering in executive discussions. Drive alignment across teams. • Define and evolve the system architecture to support petabyte-scale data real-time analysis and continuous reprocessing of historical artifacts. • Champion engineering quality: secure-by-default design strong review culture automated testing and reliable releases. Qualifications: Required: • 10+ years of software engineering experience with 5+ in senior leadership roles (VP Director or similar). • Proven track record building and scaling complex distributed systems - including architecture execution and operations. • Experience leading cross-functional teams across backend platform and infrastructure - with a strong bias for shipping. • Deep familiarity with cloud-native systems (ideally GCP) Go Kubernetes and CI/CD pipelines. • Experience integrating AI/ML into product features or infrastructure — ideally in applied contexts like detection logic enrichment anomaly analysis or automation workflows. • Strong grasp of how to apply AI tools to modern software development — from internal copilots to code quality checks testing and build acceleration. • Demonstrated ability to set and enforce high standards across hiring code quality technical design and delivery. • Strong communication and planning skills - with a willingness to roll up your sleeves when needed. Preferred: • Background in security infrastructure malware analysis threat detection or high-scale telemetry systems. • Experience with large-scale data pipelines ETL or continuous scanning infrastructure. • Familiarity with detection logic (YARA Sigma) binary analysis or reverse engineering workflows. • Track record of building customer-facing APIs or developer platforms with high adoption and integration complexity. • Comfortable balancing short-term wins with long-term architectural decisions - and communicating those tradeoffs clearly. Company: Stairwell is a cybersecurity company that offers an Automated Threat Detection and Response platform that attackers can’t detect or evade. Founded in 2019 the company is headquartered in Mountain View California USA with a team of 11-50 employees. The company is currently Growth Stage. Stairwell has a track record of offering H1B sponsorships.

Senior Director of Software Engineering DataBank - Remote (US-based only) About DataBank DataBank is a leading provider of enterprise-class edge colocation interconnection and managed services. We deliver hybrid infrastructure solutions with boundless edge reach and a human touch. Since 2020 we've expanded to over 70 facilities in more than 27 metropolitan areas across the U.S. Come join us and be part of the AI revolution. The Role We are seeking an exceptional Senior Director of Software Engineering to join our leadership team as a strategic partner in transforming our technology stack. This role requires the right blend of technical expertise and managerial excellence to lead multiple software teams including development and QA teams (internal employees and international contractors). You must be a change agent helping drive the implementation and adoption of our new ERP platform (DBOSS) Customer Portals and AI platforms. These technology platforms are the heart of our business relied upon by our customers and team members 24/7. Key Responsibilities: Help shape our engineering culture by leading and developing multiple software engineering teams (dev team QA team) of both internal employees and international contractors Partner with executive leadership to help own and drive technology transformation initiatives Champion AI adoption and integration across development teams including evaluation and implementation of AI-powered development tools and workflows Foster a culture of AI-first thinking while ensuring responsible AI practices and governance Architect and oversee implementation of solutions using our core tech stack: MuleSoft SQL Snowflake .NET and OutSystems Establish engineering best practices standards and processes across teams Participate in API strategy and implementation to support business objectives Collaborate with cross-functional teams to deliver mission-critical infrastructure solutions Mentor and develop engineering talent while building high-performing teams Champion innovation and continuous improvement in our software development lifecycle Requirements Education & Experience: Bachelor's degree in Computer Science Engineering or related technical field Minimum of 10+ years of real-world software engineering leadership experience Proven track record of successfully managing and scaling engineering teams of at least 20 team members. Strongly Preferred: Hands-on experience with data center operations colocation facilities cloud platforms hosting environments and enterprise infrastructure management Technical Expertise: Strong API development and architecture experience (required) Advanced SQL and .NET skills and database management expertise (required) Experience with MuleSoft MSSQL .NET and OutSystems technologies preferred Deep understanding of software development best practices and methodologies Experience with cloud platforms and modern infrastructure Leadership Qualities: Exceptional people development skills with a focus on creating high-performing agile teams Strategic mindset with the ability to translate business requirements into technical solutions Strong communicator and collaborator focused on team and stakeholder awareness and expectation management Experience building organizational change leadership driving organizational change and technology transformation Proven ability to build and scale high-performing engineering organizations to meet the businesss needs What We Offer Competitive compensation and comprehensive benefits package Professional development opportunities and continued learning programs Recognition-focused environment with peer appreciation programs Innovative technology - work with cutting-edge tools and emerging technologies Growth opportunities - be part of a rapidly scaling organization Mission-driven work - help power the AI digital infrastructure that businesses depends on Why Working at DataBank Rocks! We are Data-Centered Put People First and Inspired Confidence Our core values guide our daily operations and shape our culture. Our Cultural DNA: We are Heroes and Sages creating the ultimate data center experience for our customers and the ultimate workplace for ourselves. We use an innovative archetypal framework to understand and nurture our culture: What Makes DataBank Special: Award-winning culture recognized as one of the Best Places to Work Employee-centric culture where you're given the opportunity to challenge yourself personally and professionally working with professionals who value your experience honesty integrity and creativity Innovative environment leveraging the latest & greatest cutting-edge technology and industry best practices Collaborative and intelligent teams with a sense of camaraderie and fun Location: Remote (US-based candidates only) Reports to: CTO Please note: We do not work with external recruiters for this position. Brand: DataBank Address: 400 S Akard Street Dallas TX - 75202 Property Description: DFW1 - Akard St - Dallas TX Property Number: DFW1

Join Us at PlanSource: Your Exciting Career Awaits! At PlanSource a leading cloud-based provider of benefits administration technology and services we are on a mission to simplify how people choose use and manage benefits through cutting-edge AI-powered experiences. This is an incredible time to launch your career with us! PlanSource is seeking an experienced and strategic Director of Security Engineering and Operations to lead our security infrastructure architecture and operations functions. This role is critical to scaling our cybersecurity maturity as we protect sensitive data and services relied upon by clients across the HR and benefits technology ecosystem. You will lead a cross-functional team of engineers and analysts design secure-by-default solutions direct operational processes for detection and response and ensure continuous improvement of our defensive capabilities. This senior leader will work closely with Architecture IT Ops DevOps Product Compliance and Risk teams to align security strategy with business objectives. Key Responsibilities Strategy & Leadership Define and execute the roadmap for enterprise-wide security engineering and operations. Lead mentor and develop a high-performing team of security engineers analysts and architects. Partner with the CISO on security program design incident response readiness and budget planning. Security Engineering Oversee the architecture implementation and maintenance of security tools and technologies (e.g. EDR/XDR WAF Messaging Security Data Loss Prevention etc). Integrate with internal processes for ITSM Change Management Release Management and Review Boards. Drive adoption of security solutions and services to enable the business to respond to our market quickly and securely. Ensure that runbooks guidelines and procedures are maintained for all security solutions and capabilities. Security Operations Direct 24/7 operational management of threat detection alerting and incident response working with PlanSource’s MDR service. Establish SLAs operational runbooks and escalation protocols for the Security Operations Center (SOC). Lead response efforts to security incidents in coordination with Legal IT and Communications teams. Perform semi-annual Incident Response tabletop exercises. Establish and maintain reportable metrics covering the performance of our cyber security solutions services and capabilities. Risk Mitigation & Governance Support audits compliance efforts (e.g. SOC 2 HIPAA ISO 27001) and vulnerability remediation. Continuously assess gaps in tooling and coverage through tabletop exercises red/purple team tests and control evaluations. Collaborate with the GRC team on policies metrics and board-level reporting. Qualifications 10+ years of experience in cybersecurity with at least 5 years leading security engineering and operations teams. Proven success implementing and overseeing tools such as EDR/XDR DLP WAF PAM etc. Experience with cloud security operations (AWS and Azure) and hybrid infrastructure environments. Strong knowledge of cybersecurity frameworks (e.g. NIST CSF MITRE ATT&CK ISO 27002). Track record of incident response leadership and coordinated mitigation for real-world threats. Understanding of DevSecOps practices CI/CD pipeline security and secure code delivery. Excellent leadership communication and cross-functional collaboration skills. Preferred Qualifications Bachelor's degree in Information Security Computer Science Management & Information Systems or related field is preferred. Industry certifications preferred: CISSP CISM GSEC or GIAC/GCIH. Previous experience in a SaaS healthcare fintech or regulated industry is a strong plus. What we Offer: Great benefits package including a full suite of health benefits a generous 401(k) Plan unlimited PTO paid parental leave a strong rewards and recognition program and a focus on mental health and well-being. An inclusive environment with Employee Resource Groups to join volunteering days and the ability to donate to organizations of your choice through our recognition platform. The opportunity to work for a growing established technology company but work side-by-side with a small dynamic team of talented professionals. Fast-paced environment with big goals and the opportunity to make a big impact. Top five reasons to come to PlanSource: #5: Join the Vista Family. In March 2019 Vista Equity Partners acquired PlanSource marking a new phase of growth. Vista’s portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world. #4: PlanSource is highly rated with our customers. Be proud of our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs. #3: Success is rewarded. With more than just a pat on the back your success is recognized and rewarded. We take care of our employees in every way we can with comprehensive benefits employee recognitions and a commitment to wellbeing. #2: You can grow and develop professionally. PlanSource has a great track record of internal promotions within the company and offering development plans and tracks to pursue your personal and professional goals. #1: Share our values. Be part of a team that values diversity and representation in all levels of the organization. Be part of a team that gives back to local communities and is actively aware of their social and environmental impact. PlanSource is committed to fostering cultivating and preserving a culture of diversity and inclusion. Our employees are the most valuable asset we have. The collective sum of the individual differences life experiences knowledge inventiveness innovation self-expression unique capabilities and talent that our employees invest in their work represents a significant part of not only our culture but our reputation and company’s achievement as well. We celebrate and support our employees’ diversity in age color disability ethnicity cultural beliefs family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socio-economic status veteran status and other characteristics that make our employees unique. NOTE: We will consider a remote employee for approved cities PlanSource can accommodate. If you’re selected you’ll receive your offer and be asked to complete a background check. This will include a drug screen criminal record search and verification of previous employment and/or education. REF 4769

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role We are seeking a strategic engineering leader to oversee the development maintenance and evolution of critical developer tooling infrastructure that empowers CrowdStrike's Falcon Sensor engineering organization. This role will manage three specialized teams supporting hundreds of engineers across the Falcon Sensor development ecosystem ensuring they have world-class tools workflows and automation to deliver high-quality security solutions at scale. The ideal candidate will be a hands-on technical leader with deep expertise in developer tooling build systems CI/CD pipelines and engineering productivity combined with proven experience managing large cross-functional engineering teams and delivering exceptional internal customer service. What You'll Do Strategic Leadership & Vision : Define and execute the technical strategy for sensor development tooling ensuring alignment with broader engineering goals and CrowdStrike's mission. Drive innovation in developer experience and engineering productivity across the sensor organization. Multi-Team Management : Lead and mentor three specialized teams totaling 20-30 engineers: Operations & Build Infrastructure: Overseeing technical operations interfaces build systems and CI/CD pipeline infrastructure Release Testing & Validation Tools: Managing static analysis platforms automated bug filing systems cloud simulation environments and internal testing frameworks Development Workflow & Tooling: Directing code formatting automation linting systems C/C++ library management unit testing frameworks and development environment setup automation Cross-Functional Collaboration : Partner closely with sensor engineering teams release management quality assurance and platform teams to understand requirements and deliver solutions that enhance developer productivity and code quality. Technical Architecture & Implementation : Drive architectural decisions for complex developer tooling systems ensuring scalability reliability and maintainability. Oversee the design and implementation of build systems CI/CD pipelines static analysis tools and development environment automation. Engineering Excellence : Establish and maintain high standards for code quality testing documentation and operational excellence across all tooling teams. Implement metrics and KPIs to measure developer productivity and tool effectiveness. Stakeholder Management : Serve as the primary interface between tooling teams and their internal customers ensuring exceptional service delivery and proactive communication of roadmaps changes and improvements. Talent Development : Build grow and retain high-performing engineering teams through effective hiring mentoring career development and technical leadership. Foster an environment of innovation collaboration and continuous learning. Risk Management & Operations : Ensure robust operational practices for critical developer infrastructure including monitoring incident response and disaster recovery. Identify and mitigate risks that could impact developer productivity or code quality. What You'll Need 12+ years of experience in software engineering with at least 8 years in engineering leadership roles Proven track record managing engineering teams of 20-30+ people including managing managers Deep expertise in developer tooling build systems CI/CD pipelines and engineering productivity Strong background in C/C++ development environments static analysis and code quality tools Experience with cross-platform development tooling and infrastructure Demonstrated success in delivering complex technical solutions while managing stakeholder expectations Technical Expertise Hands-on experience with build systems (CMake Bazel or similar) CI/CD platforms and automation frameworks Understanding of static analysis tools linting code formatting and testing frameworks Knowledge of containerization cloud infrastructure and distributed systems Familiarity with developer experience optimization and engineering productivity metrics Leadership & Communication Exceptional leadership communication and cross-functional collaboration skills Experience working in fast-paced agile development environment Strong customer service orientation with internal engineering teams Ability to translate complex technical concepts to various audiences Track record of building and scaling high-performing engineering organizations Bonus Points Experience in cybersecurity systems programming or kernel-level development Background with large-scale software development organizations (200+ engineers) Knowledge of security tooling vulnerability management and compliance frameworks Experience with open-source tooling and community engagement #HTF Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike Inc. is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $185000 - $295000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including but not limited to relevant work experience skills certifications job level supervisory status and location. Expected Close Date of Job Posting is:08-26-2025