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

The Video Specialist will develop and execute video strategies for Boldin, create high-quality video content for various platforms, and optimize video ads for performance. This role requires strong creative and analytical skills with the ability to simplify complex ideas into engaging narratives.

As a Sales Associate, you will greet customers, provide product knowledge, handle cash transactions, and maintain store organization while contributing to sales targets.

As an Account Executive, you'll drive new client acquisition and strengthen existing partnerships by leveraging an understanding of influencer marketing and consultative selling. You will execute strategies for mid-market and enterprise brand engagement to increase revenue opportunities.

The Director of Partnerships will build revenue-driving relationships with mid-market and enterprise brands, combining consultative selling with expertise in influencer marketing.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.

The Backend Software Engineer will develop a system for curating and delivering content from various industries to AI companies, focusing on rights licensing and revenue distribution.

The GTM Manager will drive commercial growth by increasing product usage, managing strategic accounts, and identifying revenue opportunities. Responsibilities include customer engagement, product demonstrations, and refining GTM strategies. Requires strong customer instincts and cross-functional collaboration.

The Senior Writer will track AI developments, write a daily newsletter, curate important stories, and develop their own coverage areas, while contributing to multiple platforms.

As a Product Manager at Cantina, you will oversee the web product's roadmap, collaborate with global teams, and define user workflows for video editing.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.