Top Remote Jobs in San Diego, CA

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Own BigPanda’s B2B SaaS digital marketing strategy, including SEO, AEO, GEO, website redesign and optimization, paid media, conversion, security, GDPR compliance, MarTech integration, analytics, and pipeline reporting. Lead agencies, contractors, developers, SEO partners, and vendors while advising senior leadership and driving digital growth through AI-informed search and high-performing web experiences.

Own customer infrastructure support tickets from initial response through resolution while meeting SLAs. Diagnose Linux-based GPU cluster issues, troubleshoot access, storage, networking, containers, drivers, billing, and account problems, and coordinate escalations. Execute and improve runbooks, document solutions, maintain customer and internal documentation, communicate clearly under pressure, and participate in on-call coverage across time zones.

Implement and manage marketing automation tools, design and execute email campaigns, analyze campaign ROI, support go-to-market product launches, collaborate cross-functionally, and explore automation opportunities to improve efficiency and performance.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Handles Employment Practice Liability claims from investigation through resolution, including coverage analysis, liability evaluation, negotiation, litigation management, reporting, and settlement. Collaborates with defense counsel, legal leadership, reinsurers, business partners, witnesses, and other stakeholders. Presents claim trends and significant exposures, attends proceedings when needed, ensures timely referrals and updates, and maintains compliance with company policies and applicable legal and regulatory requirements.

Drive sales growth for LG IT solutions across the Central Region through consultative selling, territory planning, account development, and partner collaboration. Build enterprise and commercial customer relationships, manage opportunities from discovery through close, coordinate pricing and forecasting, maintain Salesforce pipeline data, and achieve revenue and sales objectives. The role involves executive engagement, customer presentations, trade shows, and approximately 70–75% regional travel.

Support global Account Management operations through forecasting, pipeline and renewal analysis, book management, CRM audits, performance reporting, and process improvement. Partner with Account Managers and cross-functional Revenue Operations teams to improve data quality, operational rigor, pipeline generation, expansion, retention, and scalable workflows. Translate data into recommendations, manage recurring business rhythms, and support initiatives from requirements gathering through rollout and adoption.

Manage strategic relationships with property management companies and multifamily property owners. Provide day-to-day client leadership, resolve escalations, coordinate reporting and service requests, lead business reviews, oversee implementations and integrations, monitor performance and revenue goals, and support renewals, retention, and growth. Collaborate with Sales, Product, Legal, Finance, Compliance, and leadership to resolve complex issues and maintain accurate client arrangements.

Leads College Board’s Operations analytics strategy and team, developing forecasting, predictive modeling, optimization, cost assessment, and decision-support capabilities. Partners with senior leaders across Operations, Product, Program, Technology, and Finance to improve execution, customer experience, efficiency, and cost savings. Responsibilities include setting technical direction, embedding analytics into operational decisions, presenting insights, hiring and coaching analytics staff, and building future AI and data-infrastructure capabilities.