Top Remote Entry Level Jobs

Advise early-stage AI healthcare and life sciences companies on market dynamics, product strategy, commercialization, customer discovery, pilots, partnerships, fundraising, and go-to-market execution. Facilitate introductions across health systems, providers, payers, pharma, biotech, investors, and research institutions. Participate in office hours, workshops, venture reviews, and accelerator programming while helping portfolio companies progress from concept validation to commercial deployment.

Entry-level trainee role focused on learning and supporting Google Ads, YouTube advertising, remarketing, keyword research, audience targeting, conversion tracking, reporting, analytics, and landing page optimization. The position emphasizes data-driven problem solving, process adherence, spreadsheet work, and continuous campaign optimization, with internal training, coursework, certifications, and mentorship leading toward a paid advertising specialist role.

Generates and qualifies B2B leads, manages full-funnel sales pipelines, and advances digital transformation opportunities toward closure. The role uses consultative selling, data-driven storytelling, market intelligence, and executive-level engagement to position AI, cloud, automation, analytics, and digital CX solutions. Responsibilities include collaborating with marketing, technology, and delivery teams, developing business cases, optimizing sales KPIs, and identifying client expansion opportunities.

Grow Claritas SPOTLIGHT revenue through prospecting, new-client acquisition, renewals, upselling, and client support. Conduct platform demos, maintain Salesforce accounts and opportunities, coordinate billing and order delivery, perform report quality control, and create newsletters, documentation, and walkthrough videos. Collaborate with account managers, subject-matter experts, product teams, orders, and production while representing the company at industry events.

Develop and maintain automated web application tests using Playwright and JavaScript, perform manual functional and regression testing, design test cases, manage defects, and integrate testing into CI/CD pipelines. Collaborate with Agile teams to improve test coverage, API testing, release reliability, and software quality across the SDLC.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Develop and implement ServiceNow applications, ITSM functionality, workflows, integrations, forms, and interfaces. Analyze requirements, design solutions, write and test code, document implementations, resolve production issues, and support development, QA, and user acceptance testing. The role also provides technical leadership, training, peer code reviews, platform administration, code-quality oversight, and collaboration with stakeholders using Agile and project-management methodologies.

Supports Customer Success Managers and customers through webinar and event coordination, platform customizations, product adoption analysis, content collaboration, and process improvement. The role manages global schedules, supports live virtual events, coordinates with cross-functional teams, launches customer engagement features, and identifies workflow and automation improvements to increase team efficiency and customer value.

Leads day-to-day business operations and execution across sales, marketing, customer success, and service. Builds and manages teams, drives hiring and onboarding, translates priorities into measurable initiatives, improves customer lifecycle performance, removes blockers, and implements AI agents and workflows using tools such as ChatGPT and Claude. Partners with the CEO to establish repeatable processes that support customer acquisition, activation, retention, and growth.