Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Software Engineer, you'll develop and deliver full-stack products, collaborate with cross-functional teams, and ensure operational health while promoting safety solutions.

The Account Executive will drive sales by managing customer engagements, building relationships, and generating leads within the small to medium commercial space.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Partner with sales leads to drive initiatives that enhance sales performance and productivity. Analyze sales data to provide insights and develop action plans. Collaborate with cross-functional teams to address operational challenges and improve business processes.

Lead the design and development of full-stack features for real-time safety alerts, mentor junior engineers, and collaborate across teams.

The Inventory Control Manager will oversee inventory lifecycle, manage third-party warehouses, enhance operational efficiency, and drive continuous improvement in inventory practices.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

Lead Hardware Product Operations to drive successful hardware launches, owning cost, resilience, and supply chain enablement. Partner with R&D, NPI, engineering, product design, and external JDMs to maintain schedules, ramp to mass production, and manage supplier relationships. Build systems, hire and develop a high-performing team, and embed company cultural principles.

The Senior Knowledge Management Specialist will drive KM strategies, manage multiple projects, enhance KM processes with AI, and support cross-team collaboration.