Top Remote Jobs in San Luis Obispo, CA

The Director of Strategic Growth will lead a team of Strategic Growth Managers, overseeing agency recruitment efforts and managing sales strategies. Responsibilities include hiring and training SGMs, tracking performance metrics, providing coaching, and collaborating with sales, operations, and marketing teams to optimize processes. The role requires strong leadership and expertise in sales management and relationship building.

As a Technical Account Manager, you will manage technical relationships with merchants and partners, resolve technical issues, and drive product adoption. You'll use your skills in HTML, CSS, and Javascript to solve integration problems and work closely with internal teams to enhance service delivery. Your role will also involve educating partners, managing support tickets, and promoting incident support globally.

As a Senior Product Manager for Grammarly's Billing team, you will define the strategy and roadmap for billing infrastructure, working closely with engineering and data science teams. Your role includes optimizing subscription growth, presenting strategic initiatives, and ensuring a high-performance billing solution meets user needs.

The Customer Support Specialist at Grammarly will provide timely and empathetic support, assist with product-related issues, maintain positive customer relations, and contribute to team efficiency. Responsibilities include troubleshooting, training, and refining customer service procedures.

The Legal Intern will work within Grammarly's Commercial Legal team, handling projects related to AI legal issues, providing support in business transactions, and collaborating with various cross-functional partners. Responsibilities include legal research, contract analysis, and developing transaction skills, alongside mentorship opportunities.

The Sales Enablement Onboarding Manager is responsible for designing and managing comprehensive onboarding programs for new sales hires. This role entails collaboration with various departments to ensure effective training, as well as ongoing support and coaching throughout the onboarding process. The manager will also track success metrics, analyze feedback, and continuously improve the onboarding experience.

The Enterprise Customer Success Manager at Monte Carlo will lead client relationships from onboarding to value realization, collaborating with account executives to ensure customer satisfaction and growth. Responsibilities include business reviews, stakeholder management, and promoting product adoption through best practices, while maintaining account health and identifying new opportunities for expansion.

The Senior Sales Analyst will drive performance management for the Amazon Sales Team at SharkNinja by creating customized data solutions, dashboards, and reports. Responsibilities include analyzing sales data, managing projections, conducting promotional analyses, and collaborating with cross-functional teams to enhance sales performance and market strategies.

The Systems Engineer will work on developing a new globally distributed compute platform at Cloudflare, focusing on CPU and GPU workloads. Responsibilities include implementing secure sandboxing for AI workloads, optimizing high throughput network data, and enhancing distributed routing control. The role requires expertise in Linux systems and network programming.

As a Systems Engineer in Compute Platform, you will work on developing a globally distributed compute platform for CPU and GPU workloads. Your responsibilities include addressing complex challenges such as secure sandboxing of workloads, managing processes and scheduling, and improving networking and routing in Linux environments.

The Systems Engineer will focus on building a new globally distributed compute platform for CPU and GPU workloads. Responsibilities include addressing complex compute challenges, networking, secure sandboxing, and working with various virtualization and scheduling technologies.

As a Lead AI Engineer, you will develop and implement scalable machine learning systems, focusing on deep learning and generative AI. Collaborate with cross-functional teams, apply software engineering principles, and refine model performance while integrating advanced ML capabilities into products.