Top Tech Jobs & Startup Jobs in Lincoln, NE

Qualifies inbound leads, conducts targeted outbound prospecting, researches film and television production activity, validates marketing-qualified leads, maintains pipeline records, and supports Account Executives. The role targets production accountants, line producers, UPMs, and finance coordinators while developing entertainment industry knowledge and consultative sales skills for progression into an Account Executive position.

Leads finance operations, back-office accounting processes, month-end close, billing, receivables, project accounting, revenue recognition, controls, reporting, and Oracle Fusion Cloud ERP enhancements. Oversees system configuration, integrations, testing, process improvement, M&A finance workstreams, and cross-functional issue resolution. Manages and develops the Finance Operations team while partnering with Finance, Accounting, Tax, Sales Operations, Technology, clients, and external providers.

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.

Design, build, test, deploy, and support Salesforce applications and integrations. Develop Apex, LWC, Flow solutions, REST APIs, event-driven integrations, and secure data workflows. Ensure bulk processing, governor-limit compliance, automated testing, retries, idempotency, and failure recovery. Manage Git-based CI/CD deployments, troubleshoot production issues, review code, and collaborate with administrators, analysts, data engineers, and product teams.

Designs and operates production ML and LLM platforms, including training, evaluation, deployment, monitoring, CI/CD, observability, governance, guardrails, and cost controls. Builds secure, compliant healthcare AI systems on GCP using Vertex AI, containers, Kubernetes, and Cloud Run. Requires strong Python, ML engineering, LLM production experience, and expertise in model lifecycle management, data provenance, privacy, and regulated environments.

Own top-of-funnel recruiting for engineering and product roles by sourcing, engaging, and pipelining candidates across AI/ML, full-stack, backend, infrastructure, and data engineering. Maintain candidate records and outreach activity in Ashby, collaborate with recruiters on priorities, and use AI tools and automation to improve sourcing workflows during a three-month contract.

Leads the payer business unit’s sales strategy, revenue growth, market penetration, client satisfaction, and margin performance. Builds and scales high-performing sales teams, establishes forecasting and performance disciplines, develops go-to-market strategies, and integrates commercial capabilities including marketing, communications, partnerships, and proposals. Partners with executives on strategic initiatives, market positioning, risk management, and financial performance across a complex healthcare technology environment.

Own strategic enterprise customer relationships from pilot through adoption, renewal, and expansion. Build account plans, engage executive sponsors, lead business reviews, support deployments, drive commercial expansion, manage escalations, provide product feedback, and develop customer case studies. The role also helps establish the enterprise customer success playbook and requires 30–50% travel.

Supports ATM and debit card technology applications through technical analysis, systems integration, architecture, vendor oversight, requirements definition, Scrum facilitation, issue resolution, change management, audit support, and regulatory compliance. Partners with product owners, business teams, operations, release management, and technology stakeholders to prioritize work, remove blockers, maintain applications, and advance tactical and strategic objectives.

Evaluate AI models for cybersecurity risks by crafting adversarial prompts and multi-turn attack chains. Assess model-generated malware, exploit code, phishing content, privilege-escalation scripts, and other offensive tooling for functional correctness and real-world exploitability. Score responses using harm taxonomies, document technical findings, develop evaluation frameworks, and collaborate with AI researchers, red teamers, and policy teams to improve model safety.