Top Remote Entry Level Jobs in San Diego, CA

Uses emerging and generative AI technologies to solve creative briefs and produce innovative outputs. Responsibilities include analyzing briefs, rapidly prototyping solutions, testing and integrating AI tools into studio workflows, collaborating with creative and technical teams, and continuously learning new methodologies. Candidates should demonstrate strong technology-driven creative problem-solving, generative AI fluency, experience in tech-focused environments, and a portfolio or public presence showing active experimentation.

Leads MISUMI Americas’ demand generation and acquisition strategy, owning lead generation, nurturing, funnel performance, acquisition-sourced pipeline, revenue targets, and ROI measurement. Builds and scales multi-channel programs, experiments with new channels, oversees creative assets and vendors, and partners with Sales, Product, Lifecycle, and Performance Marketing. Presents insights to senior leadership while operating as a senior individual contributor across cross-functional teams.

Owns the product backlog and translates user needs into JIRA tickets, user stories, and acceptance criteria. Partners with Product Management, Engineering, QA, and cross-functional stakeholders on prioritization, release planning, testing, and delivery. Monitors feature adoption, gathers feedback, advocates for end users, and supports business cases and ROI analysis. The role requires understanding healthcare workflows and facilitating communication among technical and business teams.

Volunteer Discord moderator responsible for enforcing community guidelines, reviewing user content, answering member questions, fostering positive engagement, planning events, and supporting server growth. Attend biweekly meetings, respond to messages within 24 hours, contribute ideas to improve moderation and community dynamics, and help execute outreach and promotional plans. Minimum 8 hours/week for at least six months.

Lead Roo’s sales organization and integrated revenue strategy across its veterinary staffing marketplace. Responsibilities include designing territory and coverage models, allocating headcount and budget, improving forecasting and quota attainment, scaling go-to-market playbooks, building enablement and coaching programs, managing CRM and sales tooling, planning organizational capacity, and aligning Product, Marketing, Finance, and Data around revenue priorities. The VP will also lead hiring, performance management, and major sales process and compensation transformations.

Coordinates litigation support operations by triaging and routing tickets, managing Zendesk and phone communications, monitoring job milestones, requesting vendor updates, and keeping clients informed. Resolves cross-functional issues, escalates urgent requests, maintains accurate case records, and supports knowledge-base and meeting-note projects. The role requires organized, precise handling of high-volume, deadline-driven workflows and familiarity with legal documents and eFiling or case-management platforms.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.

Own established product experiences end to end, from diagnosing and redesigning workflows to prototyping, user testing, and shipping improvements. Design responsive experiences across mobile and desktop, sparse and dense data states, and embedded and standalone contexts. Collaborate directly with product and engineering, contribute to an evolving design system, reuse established patterns, and communicate clearly across asynchronous US and European teams.

Talent pipeline posting for students, recent graduates, early-career professionals, and experienced candidates interested in future opportunities across transportation, rail, infrastructure, engineering, environmental services, construction management, project management, and related disciplines. Candidates should demonstrate communication, collaboration, initiative, problem-solving, teamwork, and commitment to safety, quality, and innovation.

Own end-to-end data science for emerging content surfaces, including product experimentation, causal inference, exploratory analysis, metrics, dashboards, and strategic insights. Identify opportunities to grow content supply, creators, and engagement while improving discovery. Lead content data architecture and quality initiatives, develop source-of-truth assets, and apply advanced statistical methods such as quasi-experiments and network testing. Partner with Product, Engineering, Design, and Research to influence product direction and communicate findings to diverse audiences.