Top Remote Entry Level Jobs in Lincoln, NE

Leads data security governance across database monitoring, encryption, certificate and key management, HSM operations, data masking, and cryptographic asset inventory. Manages a security governance team, develops controls and procedures, supports audits and regulatory inquiries, partners cross-functionally, and drives post-quantum cryptography readiness, automation, metrics, service reliability, and operational maturity.

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 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.

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.

Build and maintain finance data pipelines, warehouse models, dashboards, and automations for unit economics, technology budgeting, burn, runway, margins, deal desk, and sales compensation. Develop internal tools and LLM-based agents that help non-engineers access trusted financial data. Partner with finance, sales, and engineering leadership to reconcile discrepancies and improve revenue, cost, billing, payroll, cloud-spend, and accounting workflows.