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

The role involves consulting for Zendesk implementations, managing client engagements, providing training, and ensuring customer satisfaction through optimized solutions.

This role involves defining business metrics, collaborating with stakeholders, implementing data tools, providing insights, and promoting data literacy.

The AI Specialist drives sales growth for AI products, collaborate with sales teams, nurture customer relationships, and provide expertise in AI solutions.

Proactively prospect, engage, and close new commercial SaaS accounts using AI-driven insights; manage full sales cycle, build executive relationships, maintain a high-velocity pipeline, and collaborate cross-functionally to deliver tailored AI-enabled solutions.

Support Design Operations with AI enablement: audit workflows, pilot AI tools, maintain an AI tool inventory, create enablement materials, coordinate AI Champions, and help measure adoption and impact.

As a Senior Data Engineer, you will collaborate to build Data Warehouse Solutions, develop data products, and optimize data processes using tools like dbt and Airflow. You'll ensure data integrity and work with various stakeholders to translate business requirements into technical solutions.

Design, build, and deploy scalable ML and LLM solutions; own data pipelines, model development, deployment, and monitoring; collaborate with stakeholders to deliver measurable business impact and drive MLOps best practices.

The Enterprise Account Executive will drive revenue growth by acquiring enterprise customers, managing relationships, and expanding AI and automation adoption. Responsibilities include sales pipeline management, negotiating high-value deals, and collaborating across teams to deliver solutions.

Lead Zendesk's AI partner strategy, manage relationships with major AI platforms, and inform product integration to stay competitive in the AI ecosystem.

Lead technical strategy and architecture of AI-driven solutions for customer experience, focusing on business outcomes and cross-functional collaboration.