Top Remote Jobs in San Luis Obispo, CA

As a Senior MuleSoft Engineer, you'll lead the production of MuleSoft integrations, leveraging AI for development, testing, and delivery, managing multiple client engagements autonomously with clear communication on project status.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.

The Partner Manager will operationalize co-sell programs, enable partner sales teams, manage CRM data, and serve as a liaison for technical issues, aiming to accelerate revenue through strategic partnerships.

Board-appointed committee to comprehensively renew the UUA bylaws: assess coherence, align bylaws with UU values and governance practice, gather stakeholder input, draft proposals with the Board, and prepare clear rationale for General Assembly consideration.

The Kernel Optimization Engineer will develop high-performance software solutions by optimizing deep learning operations and designing new machine learning kernels for the Cerebras hardware system.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

The Senior BIM Coordinator manages BIM project data, coordinates with design teams, prepares execution plans, and ensures compliance with BIM standards while mentoring project teams.

The Growth Partner Manager will develop partnerships to drive pipeline and revenue growth, manage relationships, and create scalable processes.

The Workday Payroll Analyst manages Workday Payroll, Time Tracking, and Absence systems, ensuring accurate payroll operations through configuration, compliance, reporting, and system optimization.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.