Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Develop and execute product-led growth, lifecycle marketing, and technical audience programs for Voyage AI. Drive awareness, onboarding, activation, adoption, expansion, and continued usage through campaigns, experiments, content, emerging channels, and cross-sell strategies. Partner with Product, Product Marketing, Analytics, Builder Relations, and Data Science teams. Segment audiences, analyze customer and product data, monitor funnel KPIs, optimize messaging and experiences, and identify scalable growth opportunities.

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.

Leads People transformation and AI initiatives from strategy through enterprise implementation. Designs future-state workflows, integrates AI, automation, self-service, and enterprise systems, prototypes solutions, establishes technical standards and performance metrics, and develops reusable transformation frameworks. Partners with People and IT leaders to define requirements, evaluate build-versus-buy decisions, align resources, and drive scalable cross-functional adoption.

Serve as the primary legal partner to Procurement, drafting and negotiating high-value buy-side agreements across SaaS, software, marketing, facilities, professional services, and real estate. Provide guidance on complex transactions, risk allocation, data privacy, technology contracting, and vendor risk. Develop scalable contracting processes, playbooks, templates, training, and knowledge resources while leveraging automation and legal technology. Collaborate with cross-functional stakeholders and support broader Legal team initiatives.

Lead the architecture, development, customization, and integration of NetSuite finance systems supporting accounting, Order-to-Cash, and Record-to-Report processes. Partner with Finance, Accounting, Tax, Treasury, Audit, and Data Engineering teams to implement controls, improve close processes, enhance reporting, ensure SOX and GAAP compliance, and manage integrations. Establish NetSuite engineering standards, mentor engineers, oversee data governance, and provide technical leadership for scalable finance technology solutions.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Provide technical leadership and build core components for a scalable AI application platform. Design distributed systems infrastructure, improve performance and reliability, shape architecture and development practices, conduct code reviews, mentor engineers, and lead complex projects from conception through delivery. Collaborate with product, engineering, and design teams to evolve the platform and enhance developer experience.