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

The SVP of Product Strategist defines the product roadmap and leads front-end product strategy and consumer-driven feature definition, partnering with engineering and executive teams to ensure market alignment and decision-making on initiatives.

The Senior Product Design Engineer will lead the front-end product development, focusing on innovative designs for the Ninja brand, collaborating with teams globally, and driving product feasibility and technology integration.

The Facilities Loading Dock Specialist manages daily operations of the loading dock, ensuring safety, organization, and efficient shipping/receiving procedures. Responsibilities include handling inventory, maintaining records, and collaborating with team members.

The Principal Electrical Systems Engineer will focus on system architecture, design, and prototyping across electrical and embedded domains, collaborating with cross-functional teams to evaluate emerging technologies and inform product direction.

The Quality Engineer will analyze customer complaints, drive continuous improvement in product and process quality, collaborate cross-functionally, and ensure compliance with quality standards pre and post-launch.

The eCommerce Key Account Manager will drive Amazon sales strategies, manage relationships with Vendor Services, analyze performance, and optimize pricing and promotions to increase market share and sales.

The role involves leading product development from concept to market, managing team members, defining product specs, and ensuring quality, user experience, and business results while collaborating cross-functionally.

The National Account Manager will lead SharkNinja's Amazon business, driving growth and managing strategic partnerships, promotions, pricing, and assortment strategies.

The Director of Internal Controls & Accounting Transformation will lead finance transformation initiatives, redesign accounting processes, and improve internal controls to enhance operational efficiency and financial reporting.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.