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

As a Data Conversion Specialist, you will manage data extraction, transformation, and loading for client migrations to improveit 360 or MarketSharp, ensuring accuracy, timely conversion, and customer satisfaction.

Lead design, implement, and maintain Salesforce and Zuora CPQ/Billing solutions across lead-to-quote and quote-to-revenue processes. Run discovery and design sessions, develop Apex and declarative Salesforce solutions, configure Zuora product catalog and subscription workflows, integrate systems, lead UAT, train users, and mentor team members while collaborating with Sales, Legal, Finance, and Ops.

Manage a portfolio of mid-market healthcare customers, ensuring retention and expansion by leveraging EHR expertise and driving workflow optimizations.

The Lifecycle Marketing Manager will design and optimize customer engagement initiatives focused on activation, retention, adoption, and revenue growth within a Product-Led Growth environment.

The Product Manager will oversee product initiatives for pulseM & Customer Lobby, focusing on customer engagement solutions, driving product strategy, conducting competitive analyses, and managing product rollouts.

The Director of Marketing will develop go-to-market strategies, enhance user journeys, oversee marketing teams, and drive revenue through customer acquisition and retention campaigns.

Lead the design and technical strategy for business management and financial software platforms, focusing on architecture, modernization, and scalable systems while mentoring junior teams.

The Director of Customer Success leads a team responsible for revenue retention, product adoption, and onboarding in a SaaS environment, focusing on customer outcomes and cross-functional collaboration.

The Director of Payments Growth will define strategy and execution for payments in Joist and Invoice Simple, driving product adoption and revenue growth.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.