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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console. This work is foundational; it enables fast, accurate, data-driven decision-making that keeps customers raving about our products. As a Product Analytics Engineer, you'll build data systems that deliver actionable insights on how users interact with our products and services. You'll capture, transform, and integrate data from multiple sources into a unified analytics platform, all while working with a team that's innovating to protect customers from increasingly complex threat actors. This role requires navigating ambiguity and undefined problem spaces, working across multiple product groups and disciplines to drive impact. We build teams of technically strong people who make each other better. That means bringing sharp skills while staying curious and humble, and genuinely caring about the growth and success of those around you. If you love exchanging ideas and are as invested in your teammates' wins as your own, this is the place for you. Who You Are: We want someone with technical skills and the right mindset: • A self-starter who wants to grow and learn • You make choices based on data and good judgment • You lead by helping others and sharing knowledge • You work well with others and get people aligned • You adapt when priorities change • You do the right thing for colleagues and users • You use AI tools to work faster What You'll Do: • Design and build our data systems and analytics tools • Deliver accurate insights that drive business choices and product decisions • Balance several projects at once and tell stakeholders about trade-offs • Build data pipelines that process large amounts of data • Use AI tools daily and share how you use them with the team • Ask smart questions and shape outcomes, not just do tasks • Own your work and make sure it succeeds Required: What You'll Need: • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience) • Strong programming skills in at least one modern language (Python, Go, or similar) • Deep SQL expertise and hands-on experience with modern data platforms (RDBMS, NoSQL, or Graph databases) • You can design systems for moving and changing data at scale using tools like Kubernetes and Docker • Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) • Strong data visualization and storytelling skills; you can construct concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms • A thorough understanding of engineering best practices - from testing paradigms to peer code reviews and resilient architecture design • Excellent communication skills: you can translate complex technical concepts to cross-functional audiences • Experience in a SaaS environment • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Experience using predictive analytics, machine learning, and/or AI to solve business problems • Experience designing and executing enterprise-scale semantic layers to standardize business meaning and enable trusted analytics and AI use cases • Thought leadership analytics and data engineering • Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms • Thrives in fast, team-based, and iterative programming environments • Track record of high-quality work on time Why This Role Matters: You'll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions, surface threats faster, and ultimately help our customers stay ahead of adversaries. You'll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output. Benefits Of Working At CrowdStrike: • 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 decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on 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 fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here. , Why This Role Matters: You'll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions, surface threats faster, and ultimately help our customers stay ahead of adversaries. You'll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output.