Top Remote Jobs in San Luis Obispo, CA

Manage a large book of performance-marketing clients, drive revenue growth through data-driven strategies, monitor budgets and pacing, onboard and optimize campaigns, present business reviews, serve as primary client contact, and coordinate with internal teams for campaign delivery and invoicing.

Lead technical onboarding and solution architecture for enterprise wealth management clients. Translate client goals into platform designs, manage integrations (CRM, data warehouse, APIs), drive adoption, mentor delivery teams, influence product strategy, and ensure successful handoffs to Client Success.

Execute trades per firm strategies, monitor crypto markets, analyze charts and indicators, follow market news, apply risk management, record and review performance, use trading platforms, and continuously develop trading skills under mentorship.

Part-time remote internship supporting the Email Automation team: transfer and code email copy into templates, maintain templates, perform QA, run semi-weekly A/B tests and data tracking, and assist with organizational and cross-functional email operations.

The Software Engineer Intern will develop and maintain full-stack applications, collaborating with various teams to build features for Clerkie Fiber, a B2B CRM.

Provide execution-focused PR support across multiple client accounts: draft bylines, pitches, press releases, and social content; build and maintain targeted media lists and databases; coordinate media outreach, interviews, and project logistics; monitor coverage and maintain trackers; research journalists, trends, and story angles; and keep projects on schedule to free senior account managers for strategic work.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

The Staff Software Engineer will architect and build scalable solutions for Cloudera's Data Platform, contribute to Apache Spark, enhance engineering processes, and work with large-scale distributed systems.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.