Top Remote Entry Level Jobs in Lincoln, NE

Prototype and validate analytical methods and LLM applications for political, media, and advertising data. Build proof-of-concept tools, datasets, pipelines, and applications, then engineer validated methods toward production. Apply statistical and data science techniques, maintain rigorous software development practices, communicate findings clearly, and collaborate with technical and non-technical stakeholders.

Generates qualified sales pipeline across a defined U.S. territory through personalized outbound prospecting. Responsibilities include researching target accounts, creating multi-channel sequences, qualifying inbound and marketing leads, booking productive meetings, maintaining Salesforce records, coordinating with ABM marketing, and partnering with account executives on territory strategy and handoffs.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Own products and features end to end, from user research and ideation through MVP launches, iteration, pricing, and ongoing success. Build full-stack experiences, collaborate with design, support customers, resolve production issues, participate in on-call rotations, and write documentation. The role emphasizes autonomous product development, agent-facing software, AI-native products, and rapid shipping.

Analyzes institutional data, surveys, student success metrics, enrollment trends, academic information, and KPIs. Prepares internal and external reports, data visualizations, statistical analyses, and presentations supporting university planning, accreditation, strategic initiatives, grants, and program reviews. The role also provides survey design and data-analysis consulting to university departments and ensures data integrity.

Manages the organization’s internal travel staffing program, coordinating therapist placements, approvals, onboarding, compensation, utilization reporting, and assignment logistics. Partners with Operations, Finance, HR, Payroll, and Talent Acquisition to align staffing deployment with business needs and budgets. Oversees external travel staffing vendors, including performance management, rate negotiations, contract coordination, and accountability for fill rates and traveler quality.

Own end-to-end data workflows, including ingestion, storage, orchestration, transformation, validation, and delivery. Build ETL/ELT pipelines, manage cloud data platforms and transfers, optimize data models and queries, maintain data quality monitoring, troubleshoot production issues, and document data flows. Collaborate with technical and nontechnical teams to investigate discrepancies, support enterprise datasets, and apply secure data-handling practices.

Lead Factory’s developer relations strategy across technical content, community, events, partnerships, and social channels. Build tutorials, demos, documentation, sample applications, and case studies; represent Factory publicly; grow developer communities; develop ecosystem partnerships; gather product feedback; and measure developer adoption, engagement, and retention. The role requires strong technical credibility, familiarity with AI-powered development, exceptional communication skills, and close collaboration with Product and Engineering.

Prepares quarterly and annual GAAP and statutory financial statements, NAIC schedules, regulatory filings, account reconciliations, and journal entries. Supports internal and external audits while maintaining financial and operational controls, improving processes, and delivering accurate reporting and analysis for insurance products.

Build and manage Hammerspace’s AI-powered knowledge ecosystem for the go-to-market organization. Responsibilities include designing AI workflows and retrieval experiences, developing onboarding and certification programs, evaluating AI technologies, driving adoption, automating knowledge work, and establishing governance and taxonomy. The role partners cross-functionally with Product, Engineering, Presales, Marketing, Sales, and Customer Success to improve knowledge discovery, employee readiness, onboarding speed, and time-to-productivity.