Top Remote Entry Level Jobs in Lincoln, NE

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.

Own the Advisory platform roadmap, conduct customer discovery, prioritize and manage the backlog, write user stories, and coordinate engineering, design, sales, and client success teams. Lead implementations, launches, product decisions, and success measurement through OKRs, KPIs, adoption data, and feedback. Monitor competitors and PSLF policy changes while supporting sales, renewals, and continuous product improvement.

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.

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.

Lead the architecture, technical evolution, and hands-on development of a mission-critical software platform using Java, C++, and AI/ML technologies. Responsibilities include software design, coding, debugging, code reviews, testing, CI/CD, performance optimization, security, technical planning, customer troubleshooting, deployment support, documentation, and engineering leadership. The role requires occasional customer travel and may support critical incidents outside normal business hours.

Reviews client tax and revenue data, prepares and files state and local tax returns, reconciles ledgers, prepares workpapers, processes payments, and supports renewal applications and exemption certifications. Communicates with clients and agencies throughout the tax process while maintaining accurate, timely, and compliant filings.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Develop technical employment-marketing content that showcases Socure’s engineering challenges, architecture, APIs, machine learning, identity, fraud, and infrastructure work. Interview engineers and technical leaders, write blogs, deep dives, whitepapers, and recruiting copy, and distribute content through developer communities, publications, social channels, and talent platforms. Partner with engineering, recruiting, employer brand, marketing, design, and subject matter experts while maintaining editorial quality and using AI tools thoughtfully.

Own the product operations operating model from launch through scale. Build SOPs, exception taxonomies, escalation paths, metrics, and operational workflows; work directly in customer operations to identify failure patterns and automation opportunities; investigate unproductized processes; and translate operational insights into product and engineering priorities.