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

The Growth Marketing Manager will drive growth through paid social campaigns, focusing on optimization, AI integration, and analytical strategies to improve performance.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

Provide hands-on IT support for the San Francisco office and global escalations: troubleshoot macOS, SaaS, networking and A/V systems; provision equipment; build automations and lightweight tools (Python, Jira); implement AI tooling; perform root cause analysis; document workflows; and collaborate with IT Engineering. Role includes occasional travel and some on-site presence.

As a Senior Applied AI/ML Scientist, you will drive the ML algorithm strategy and design for Search Ads, enhancing ad relevance and personalization through deep learning and modern NLP techniques.

Drive Revenue organizational effectiveness by translating business needs into system and process requirements, building quarterly roadmaps, aligning cross-functional teams, optimizing sales systems (Salesforce, Salesloft, Orum, Gong), and measuring program adoption and impact.

Lead cross-functional strategic initiatives by breaking down ambiguous problems, conducting deep analyses, designing and evaluating experiments, surfacing actionable insights, and partnering with Product, Data Science, Engineering, Design, and Finance to drive key business metrics and roadmap decisions.

Manage and optimize paid search campaigns on Google and Microsoft, analyze performance metrics, and implement AI tools for efficiency.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.