Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead the architecture, reliability, and evolution of hybrid-cloud and workplace infrastructure. Design and operate scalable systems across compute, networking, DNS, identity, and data centers; drive migrations, automation, monitoring, incident response, and performance improvements. Collaborate across IT, SRE, security, and service-owner teams, provide technical direction, mentor engineers, and maintain operational documentation. Remain hands-on while influencing architecture and standards across multiple teams.

Lead data science for Mozilla’s advertising business by identifying high-impact opportunities, owning complex analyses, developing measurement and experimentation frameworks, analyzing revenue and performance, and translating findings into recommendations for technical partners and executives. Partner across Product, Engineering, Sales, Finance, and leadership to support business decisions in a fast-moving environment while balancing analytical rigor, pragmatism, and user privacy.

Leads the architecture, reliability, scaling, and evolution of hybrid-cloud, data center, networking, and workplace infrastructure. Designs and implements complex systems, drives migrations and automation, improves monitoring and operational practices, participates in incident analysis, and provides technical direction across teams. The role remains hands-on while mentoring engineers, documenting systems, and establishing infrastructure standards. Core technologies include VMware, Cisco UCS, load balancers, Linux/Unix, networking, Infrastructure as Code, and Python.

Lead data science partnership for Mozilla’s advertising business, identifying high-impact opportunities and owning complex analytics end to end. Develop measurement frameworks, experimentation strategies, instrumentation, and reporting for advertising products. Analyze revenue and performance, evaluate trade-offs, and communicate clear recommendations and uncertainty to technical teams and senior executives.

Build and maintain Mozilla’s Internal Developer Infrastructure Platform, including CI/CD, observability, Kubernetes optimization, environment bootstrapping, and cloud cost optimization. Support development teams, guide technical decisions, create platform features and agentic workflows, improve developer productivity, and promote maintainable engineering practices. The role also requires cross-functional collaboration, technical leadership, proposal writing, and resolving ambiguous infrastructure challenges.

Leads the design and development of Mozilla’s data platform, processing tens of terabytes daily. Builds GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow; evaluates technologies; establishes engineering standards; partners with Data Science, Product, Legal, Policy, and Engineering; develops data abstractions; mentors engineers; and supports evolving data products.

Design and improve large-scale data processing and platform systems handling tens of terabytes daily. Build GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow; evaluate technologies; establish engineering standards; lead cross-functional projects; mentor engineers; collaborate with Data Science; and develop data abstractions and active data products.

Own full-stack AI product features from concept through launch, adoption, and iteration. Translate user, partner, and enterprise needs into reliable product experiences involving AI chat, search, research, workflow automation, administration, and integrations. Build and test across front-end, back-end, APIs, and infrastructure-adjacent areas; make product and technical tradeoffs; measure adoption and reliability; and establish reusable engineering patterns. Collaborate with product, design, enterprise teams, leadership, open-source contributors, and external partners in a remote environment.

Manage a portfolio of major donors, personally solicit and close five-, six-, and seven-figure gifts, and advance relationships through cultivation, solicitation, and stewardship. Maintain accurate Salesforce records, identify and qualify prospects, develop tailored proposals and impact stories, deliver stewardship activities, and partner with executives, program staff, and prospect research. The role also supports donor renewal, increased giving, annual-to-major gift pathways, and consistent revenue growth.

Build and own full-stack AI product features from concept through launch, adoption, and iteration. Translate user, partner, product, and enterprise requirements into reliable experiences for AI chat, search, research, workflow automation, administration, and integrations. Collaborate across engineering, product, design, enterprise teams, and open-source contributors. Evaluate AI tooling, make technical and product tradeoffs, write maintainable tested code, measure product adoption and reliability, and establish reusable patterns for an enterprise-ready open-source platform.