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

Design, build, and operate production-grade analytics products and pipelines ensuring data correctness, freshness SLAs, lineage, and auditability. Implement automated data-quality checks, anomaly detection, and incident response; build semantic layers and governed metrics; partner with engineering and ops to fix upstream issues; measure impact and mentor junior engineers.

Own factory-level performance and scaling by connecting demand, labor, equipment, space, and material flow into an integrated production system. Analyze production data, run time studies, build capacity and labor models, identify bottlenecks, design layouts and operating strategies, lead CI and automation business cases, partner with cross-functional teams, and drive implementations that increase throughput, utilization, and cost efficiency.

Design and build a secure, scalable platform for AI-enabled applications to integrate with Zipline production systems. Implement reusable APIs, gateways, middleware, and guardrails (auth, rate limits, observability) while partnering with AI engineers and service teams to ensure reliability, ownership, and safe production deployments.

Design, train, optimize, and deploy real-time 3D perception models for multi-camera onboard systems. Work spans model development, TensorRT-based optimization for resource-constrained hardware, tooling for evaluation and visualization, and close integration with motion planning. Senior roles lead architecture and experiments; staff roles drive roadmap and cross-functional design for production autonomy.

Lead end-to-end social-first video production: ideate, capture (frequent field shoots), and edit short- and medium-form content optimized for Instagram, TikTok, X, YouTube and web. Manage logistics, on-site production, post-production workflows, creators and partners, track performance, and iterate quickly to drive brand awareness and engagement. Collaborate cross-functionally across Communications, Social, and Marketing and travel (~30%).

Lead and grow the Flight Test Engineering team to define and execute validation strategy and campaigns across aircraft, software, hardware, docking, and fleet systems. Build automated test infrastructure, data pipelines, and reporting to produce rigorous release-readiness evidence, partner cross-functionally, and ensure safety and regulatory compliance.

Support commercial real-estate leasing legal work: manage lease intake, drafting, redlines, approvals, execution, and post-execution administration. Build templates, clause libraries, checklists, and workflows; coordinate with landlords, brokers, outside counsel, and internal teams; track pipelines, deadlines, obligations, and SLAs; identify bottlenecks and implement scalable processes to improve legal service levels.

Build and operate cloud data platform components for ingestion, transformation, validation, and serving across batch and near-real-time pipelines. Own lakehouse and warehouse foundations, data contracts, lineage, quality checks, and performance/cost optimizations. Create orchestration patterns, shared libraries, CI checks, and runbooks. Partner with product, telemetry, analytics, and ML teams to standardize dataset publishing and ensure dependable, discoverable, and performant data for operational decisions and analytics.

Design, develop, and deploy automation-centric test software and assets to validate avionics, sensors, and assemblies from prototype through production. Own test campaigns, coordinate cross-functional teams and vendors, triage field failures, root-cause issues, and build visualization and data-acquisition tools to streamline manufacturing and safety-critical validation.

Lead and grow a team performing deep characterization and durability testing of powertrain components (motors, propellers, actuators). Develop multi-month test campaigns, validate electromagnetic and thermal models, design/oversee custom large-scale test rigs, run reliability and failure analysis, and translate test data into vehicle diagnostics. Partner closely with design, electrical, and controls teams to validate models and drive rapid hardware problem solving in fast-moving hardware programs.