Sr. Engineer-Product Insights
About The Position
CrowdStrike is a global leader in cybersecurity, protecting organizations with an advanced AI-native platform. The company processes trillions of events daily and serves customers across all industries. CrowdStrike fosters a mission-driven culture that emphasizes AI adoption, experimentation, and innovation, encouraging employees to drive their careers through flexibility and autonomy. The Product Insights team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console, enabling data-driven decision-making. This role involves building data systems to provide actionable insights into user interaction with products and services, capturing, transforming, and integrating data from multiple sources into a unified analytics platform. The team values technical strength, curiosity, humility, and a commitment to mutual growth and success.
Requirements
- 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)
- Ability to 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; ability to 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: ability to 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
Nice To Haves
- 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 in 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
Responsibilities
- Design and build data systems and analytics tools
- Deliver accurate insights that drive business choices and product decisions
- Balance several projects at once and communicate trade-offs to stakeholders
- Build data pipelines that process large amounts of data
- Use AI tools daily and share usage with the team
- Ask smart questions and shape outcomes
- Own work and ensure its success
Benefits
- 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
- Eligibility for bonuses
- Equity grants
- Comprehensive benefits package that includes health insurance, 401k and paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
