Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own end-to-end recruiting for complex technical, staff-level, and leadership roles. Develop advanced sourcing strategies for niche technical communities, advise senior leaders on hiring plans and organizational design, lead candidate negotiations and closing, improve recruiting workflows, apply career-level guides for consistent calibration, and build diverse long-term talent pipelines.

Build and operate Mozilla’s first B2B technical support operations capability. Own support vendors, workflows, training, capacity planning, metrics, governance, escalations, incident response, and continuous improvement. Coordinate with Product, Engineering, Customer Success, Sales, Legal, Finance, and Procurement to deliver reliable enterprise support. Translate customer and support insights into improvements across products, processes, tooling, documentation, and automation.

Leads end-to-end recruiting for complex technical, staff-level, and leadership roles. Responsibilities include advanced passive sourcing, high-stakes candidate closing and negotiation, executive stakeholder advising, recruiting process improvement, hiring calibration, leveling consistency, and long-term talent pipeline and succession planning.

Fix correctness, validation, security, application-blocking, and conformance bugs in Firefox’s WebGPU implementation. Develop and test fixes in Rust, wgpu, and Gecko; diagnose graphics and application failures; address fuzzing findings; participate in upstream code review; and land reviewed changes that reduce release backlogs for Linux and Android.

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.