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

Own the end-to-end product strategy and lifecycle for AI research products, from model development and user research through launch, pricing, and go-to-market. Partner with research, engineering, design, and business teams to define requirements, ship products, analyze metrics, run experiments, and prioritize features. The role requires strong technical or quantitative foundations, product management experience, SQL and Python fluency, knowledge of machine learning, and experience taking products from zero to one.

Resolve high-volume customer tickets involving account access, billing, and subscription plans. Follow macros, playbooks, and AI-assisted support suggestions to provide accurate responses. Identify issues requiring product judgment or creative-tool troubleshooting and route them to appropriate support tiers. Flag recurring questions for potential macro creation while maintaining speed and accuracy in repetitive, process-driven work.

Lead product design projects for web and mobile platforms, creating and refining creative workflows, prototypes, and high-fidelity interfaces. Partner closely with product, engineering, research, and data teams to ship and iterate on products rapidly. Maintain visual and user experience consistency while contributing to product and process improvements. The role values strong visual design, usability knowledge, creative tool expertise, adaptability, and experience with AI-assisted prototyping.

Owns the end-to-end detection and response program for cloud infrastructure, Kubernetes, research environments, AI tooling, and products. Responsibilities include developing detections as code, leading incident investigations, automating triage and containment, monitoring AI agents, conducting threat hunts and tabletop exercises, improving security telemetry, supporting SOC 2 and ISO 27001 evidence collection, and participating in security incident on-call rotations.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

The role involves leveraging Runway to assist Enterprise clients, creating content, training users, and providing support while adapting to a fast-paced environment.

As a Design Engineer at Runway Labs, you will create AI video interfaces and tools, collaborating with teams on prototypes and user experiences in an exploratory lab setting.

The role involves leading design projects for mobile and web platforms, creating prototypes, collaborating with engineering teams, and maintaining design consistency across products.

The Creative Support Specialist will provide technical and creative assistance to enterprise clients, handle customer inquiries, and contribute to product documentation and process improvements, leveraging generative AI tools.

Lead the Engineering team responsible for the API, focusing on platform strategy, team growth, and cross-functional collaboration to enhance product development and API performance.