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

The Management & Business Transformation Consultant will lead strategy, operational, and change engagements, collaborating closely with clients to develop and implement innovative solutions. Responsibilities include client communications, developing frameworks, understanding client strategies, and facilitating discussions to identify opportunities for improvement.

The Salesforce Marketing Manager will lead marketing activities for the Salesforce partnership, create engaging content, manage campaigns, and track performance while collaborating with sales and alliance teams.

The Workato Integration Architect designs, develops, and maintains automation workflows, collaborates on integration requirements, and optimizes performance across platforms.

Lead Technical Consultant for ServiceNow responsible for full software development lifecycle activities, customizations, integrations, and delivering ITOM solutions. Collaborates with stakeholders to drive quality and efficiency in ITSM and CMDB implementations.

The Change & Adoption Senior Business Consultant will lead operational and strategy engagements, fostering client collaboration to develop and implement innovative solutions, while mentoring team members and managing client relationships.

The Account Executive for Process Automation will drive revenue growth by expanding client relationships and acquiring new accounts, while collaborating with internal teams and partners.

The Strategic AI Operations Leader transforms enterprise managed services by implementing AI-driven support models, enhancing operational efficiency and customer experience, while leading cross-functional collaboration and strategic alignment with business objectives.

The ServiceNow Technical Architect provides technology direction, ensures project compliance, and creates innovative solutions while mentoring teams. Responsibilities include architecture assessments, technical documentation, and enhancing technology integration with AI initiatives.

Lead client engagements to design enterprise data foundations using Salesforce Data Cloud. Translate business goals into data models, identity resolution, and ingestion strategies; partner with architects and developers, identify risks, and contribute repeatable best practices to support analytics, AI, and operational use cases.

Lead design and delivery of Databricks-based Lakehouse solutions. Architect, develop, test, and deploy scalable ETL/ELT pipelines using Python, PySpark, and SQL. Mentor engineers, enforce Databricks best practices, integrate with cloud platforms (Azure/AWS), support CI/CD, perform code reviews, and collaborate with data scientists and stakeholders to meet analytics and AI requirements.