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

Define, design, configure, test, and implement business system solutions supporting Sales, Hardware Operations, and Finance. Translate business requirements into system specifications, lead NetSuite and related system implementation projects, produce documentation, conduct user acceptance testing, resolve issues, and support mission-critical systems. Partner with internal stakeholders and external technology providers while driving process optimization, productivity, and profitability.

Product Counsel will develop and execute product legal strategy, advise marketing, product, and software engineering teams, ensure product compliance across domestic and international markets, identify and mitigate legal risks, build cross-functional relationships, and create efficient legal processes. The role requires broad expertise across intellectual property, compliance, commercial matters, and hardware and software products, supporting innovation in an entrepreneurial environment.

Lead the development and implementation of operations and manufacturing systems for scaling facilities. Assess make-versus-buy options, manage third-party implementations, build Palantir applications, integrate data sources, maintain the Palantir ontology, and optimize material flow, engineering change orders, production scheduling, factory execution, and quality. Partner with production, supply chain, quality, planning, engineering, and external developers to define requirements, manage milestones, and drive scalable automation and analytics solutions.

Own the Palantir Foundry platform from a finance perspective, developing data pipelines, integrations, ontologies, applications, and interactive dashboards. Troubleshoot data and system issues, document reverse ETL flows and technical specifications, and improve business processes through automation. The role requires experience with data visualization, Databricks or similar platforms, PySpark, TypeScript, NetSuite integrations, and data analysis.

Lead strategy and end-to-end delivery for Skydio’s X10 Dock hardware and software ecosystem. Own product requirements, roadmaps, customer discovery, reliability, and product strategy while partnering with engineering, design, sales, customer success, and marketing. Guide development across hardware, firmware, computer vision, AI, and machine learning, and drive customer enablement and successful product launches.

The role involves developing and integrating wireless systems for drones, focusing on RF performance, cellular hardware, and certification processes. Responsibilities include system architecture definition, product validation, and cross-functional collaboration to optimize wireless connectivity and performance.

Own systems requirements, architecture, integration, verification, reliability analysis, and failure resolution for autonomous flying robots. Lead system bring-up, performance testing, telemetry and field-data analysis, risk assessments, test infrastructure, and cross-functional issue triage across mechanical, electrical, embedded, and autonomy teams. Establish technical standards and independently solve ambiguous, multidisciplinary reliability problems.

Own system requirements, architecture, integration, verification, performance testing, reliability analysis, and failure resolution for autonomous flying robots. The role coordinates mechanical, electrical, embedded, and autonomy disciplines; analyzes flight telemetry and field data; develops test infrastructure and diagnostic processes; performs product bring-up; and drives root-cause analysis and cross-functional issue resolution.

Conducts flight, software, hardware, regression, wireless, and web application testing for autonomous drone products. The intern validates software updates and customer-facing features, identifies product limitations, collects flight data, supports competitive benchmarking, and collaborates with engineers to improve the Skydio Dock and flying platform. The role requires debugging, UAS operation, Linux experience, system integration knowledge, thorough documentation, and outdoor testing.

Research and develop computer vision and deep learning algorithms for autonomous drones. The intern will prototype and assess new approaches, implement autonomy features, quantify software and hardware performance, and contribute clean, well-architected code to production systems in collaboration with a core software development team.