Top Remote Jobs in Omaha, NE

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

Lead People function operations, scalable HR programs, transformation initiatives, project intake, reporting, documentation, and AI-driven workflow improvements. Manage compensation cycles, performance reviews, engagement survey activation, organizational design, and process redesign. Act as the operational liaison between People, executive leadership, Finance, Legal, and IT while building systems, playbooks, and knowledge infrastructure that support organizational growth.

The Manager, Business Partner provides strategic and hands-on HR leadership across employee relations, performance management, compliance, investigations, risk mitigation, and leadership development. The role coaches managers, leads talent calibration and performance improvement processes, analyzes employee relations trends, manages cases in NAVEX, supports organizational transitions, and promotes an inclusive, accountable workplace culture. This position partners with legal and compliance teams and uses behavioral assessment insights to improve team effectiveness.

Serves as a trusted advisor to business stakeholders, leading discovery, problem definition, requirements development, cross-functional alignment, UAT strategy, post-deployment validation, and change management. Owns domain process maps, business rules, documentation, and AI-assisted workflow governance. Mentors business analysts, improves BA standards, identifies functional opportunities, and supports strategic initiatives involving CRM and data platforms.

Lead sponsorship strategy and sales for a fishing media platform: audit assets, design custom sponsorship packages, prospect and pitch sponsors, negotiate and close deals, and manage sponsor relationships. Target fishing, regional, and lifestyle brands; work commission-only with creative autonomy and remote flexibility.

Manage cross-functional client pipeline projects from kickoff through completion, coordinating sales, marketing, and operations stakeholders. Own Asana project boards, timelines, deliverables, risks, and scope across 3–6 client accounts. Support client strategy and account management conversations, translating business goals and campaign performance insights into actionable plans. The role requires strong communication, organization, strategic thinking, and familiarity with B2B SaaS, digital marketing, demand generation, paid media, creative, and CRM platforms.

Develop user interface and user experience designs using Figma, requiring at least six years of experience. Candidates must be eligible to work in the United States.

Set the technical direction for machine learning at Payabli by maturing production risk models and launching new models across the payments lifecycle. Establish experimentation, monitoring, drift detection, benchmarking, retraining, and incident-response foundations. Translate payments challenges into modeling opportunities, connect model performance to business outcomes, influence the ML roadmap, and mentor engineers while partnering with product, engineering, and risk operations.

Build agentic LLM systems that acquire, clean, validate, curate, and document large-scale biomedical datasets for multimodal model training. Develop reliable agent architectures, tooling, evaluation harnesses, quality-control workflows, and reproducible data pipelines. Collaborate with ML scientists, monitor distributed production pipelines, diagnose failures, and implement secure sandboxed execution with restricted access and audit logging.