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

Drive outbound prospecting (cold calls, emails) to book meetings within a defined ICP, research target accounts and decision makers using prospecting tools, craft targeted outreach with Account Executives, and collaborate with commercial leadership to source and qualify prospective customers.

Develop strategic partnerships to drive revenue growth, manage enterprise account relationships, close large deals, and travel frequently.

The Solutions Engineer will collaborate with clients, optimize logistics solutions, enhance software features, and support implementation efforts while managing project documentation and communication.

Manage demand planning, strategic sourcing, procurement, and logistics efforts while ensuring cost-effective operations in supply chains.

Sell Kargos sensor platform to mid-market customers: build executive relationships, develop strategic partnerships, identify growth opportunities, present solutions, and close large deals. Role requires heavy travel and metrics-driven account strategy.

Lead growth strategies at Kargo by driving customer acquisition and retention. Mentor Sales Development Representatives, optimize marketing channels, and oversee data-driven performance analysis.

Drive end-to-end feature development from design through testing and deployment, collaborate with product and engineering teams, and improve development processes and code quality.

Develop high-performance C++ and Python software for edge devices focused on computer vision, 3D perception, and AI. Build and optimize vision features, support agentic AI for device fleet management, collaborate to improve platform reliability, and test software in real-world environments.

Design and implement high-performance C++ systems for machine vision and AI on edge devices, build 3D perception and distributed edge infrastructure, develop agentic AI for device fleet management, optimize performance and reliability, collaborate with product teams, and mentor junior engineers to deliver production-ready solutions.

Design and build autonomous AI agents that navigate websites and execute complex workflows using browser automation and LLMs. Integrate agents with APIs, SaaS, and internal systems, improve reliability through testing and guardrails, optimize performance and costs, and collaborate with product and engineering teams.