Nucleus Security

Data Engineer

• Own the architecture and evolution of large-scale data processing and analytics systems, from ingestion and normalization through transformation, aggregation, and customer-facing analytics
• Design and evolve data models supporting high-volume analytical workloads while balancing query performance, storage efficiency, maintainability, and scalability
• Design and optimize complex analytical SQL queries across large datasets, identifying performance bottlenecks and developing scalable solutions
• Architect distributed and asynchronous job processing systems for reliable processing of large data volumes across concurrent workloads
• Design and evolve Spark, Flink, or similar data-processing workflows for large-scale transformation, enrichment, aggregation, and computation
• Drive effective use of SingleStore/MemSQL, including schema design, indexing and partitioning strategies, query optimization, and workload design
• Establish architectural patterns for batch processing, data transformation, job orchestration, failure recovery, idempotency, and reprocessing
• Diagnose complex performance and scalability issues across databases, distributed processing systems, application services, and infrastructure
• Partner with engineering and product teams to translate ambiguous analytical and data-processing requirements into scalable technical architectures
• Define technical standards and reusable patterns for data modeling, data processing, and analytical query development
• Provide technical leadership across engineering initiatives, influencing architecture and mentoring engineers while remaining hands-on with implementation
• Identify architectural limitations and lead improvements to increase platform scalability, reliability, and performance

Explore Staff Agentic Data Engineer – Data Platform at Nucleus Security. Review requirements and application details.

Staff Agentic Data Engineer – Data Platform

Product Manager

• Own product strategy and roadmap for the AI & Query Platform team
• Advance query and data exploration capabilities
• Develop AI-powered experiences and agent capabilities
• Build reusable core AI platform capabilities across the Nucleus platform
• Discover and prioritize AI, analytics, and data-driven customer use cases
• Define product requirements and tradeoffs across usability, performance, reliability, flexibility, and technical complexity
• Run early-access and customer feedback programs
• Define success measures and feedback loops for AI and query capabilities
• Understand how security teams work with vulnerability and exposure data
• Identify opportunities to improve security workflows through AI and better data interaction
• Partner with engineers on APIs, datasets, schemas, query capabilities, agent tools, and platform primitives
• Translate technical capabilities into intuitive customer product experiences
• Take ambiguous ideas from discovery through definition, validation, delivery, and adoption
• Determine when to build customer experiences versus reusable platform capabilities
• Define and evaluate quality of AI-powered experiences
• Work with customers and internal teams to understand problems, validate solutions, and prioritize investments
• Maintain and adapt the product roadmap as AI technology, customer expectations, and the cybersecurity market evolve
• Communicate product direction and tradeoffs across engineering, design, go-to-market teams, and leadership

Explore Senior Product Manager, AI & Query Platform at Nucleus Security. Review requirements and application details.

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Staff Agentic Data Engineer – Data Platform

Senior Product Manager, AI & Query Platform