Top Tech Jobs & Startup Jobs in Little Rock,

Lead customer implementations of healthcare data platform solutions by configuring the Smile platform, scripting, troubleshooting, designing technical solutions, and providing architectural guidance. Collaborate with customers and internal teams to deliver scalable, secure solutions, support technical analysts, contribute to RFPs, manage concurrent projects, and participate in on-call support.

Own internal tools and automation products supporting sourcing, purchasing, cost tracking, invoicing, and fulfillment. Discover workflows, define data and ownership standards, inspect operational data with SQL, map integrations, and partner with engineers on automation and AI-assisted workflows. Manage roadmaps, requirements, releases, adoption, training, migration, controls, and measurable operational outcomes in a fully remote environment.

Plans and executes full-funnel B2B demand generation campaigns across paid, owned, and earned channels. Manages campaign setup, optimization, reporting, and testing to improve lead quality, conversion rates, ROI, and pipeline sourced. Collaborates with Sales, BDR, Marketing Operations, Content, Product Marketing, and Design teams on campaign assets, lead follow-up, and performance insights.

Own shared AI platform components and build production AI features, including LLM orchestration, prompt workflows, evaluation, observability, and deployment. Develop scalable SaaS backend systems, APIs, data pipelines, search, background processing, and PostgreSQL solutions. Lead CI/CD and AI tooling adoption, establish technical direction, mentor engineers, and translate ambiguous requirements into reliable systems.

Conducts public health data validation, management, quality assurance, geospatial and molecular HIV analysis using SAS and R. Responsibilities include developing codebooks and data management plans, identifying discrepancies, performing duplicate and comparison procedures, generating reports, interpreting results, disseminating data, and collaborating with analysts, federal partners, jurisdictions, and community-based organizations.

Administer multi-state payroll and benefits, ensuring accurate payroll execution, 401(k) remittances, benefits enrollment, compliance, audits, and employee support. Manage state registrations, tax setup, HRIS data integrity, open enrollment, and benefits broker coordination. Provide empathetic guidance on sensitive payroll and benefits matters while optimizing People Operations workflows through automation and accurate documentation.

Supports recruiting, screening, interviewing, onboarding, payroll, time tracking, learning and development, employee relations, and general HR administration. The role focuses on serving a distributed, high-volume hourly workforce, especially part-time Client Onsite Associates. Responsibilities include reconciling timesheets, processing payroll, coordinating training, answering employee questions, maintaining records, and partnering with hiring managers and HR leadership.

Designs scalable enterprise observability architectures on Snowflake Observe, including telemetry ingestion, pipelines, data models, alerting, retention, migrations, and OpenTelemetry adoption. Leads discovery, validates production readiness, creates architecture and handoff documentation, supports implementation teams, conducts go-live reviews, develops reference architectures and demos, mentors engineers, and advises Product and Engineering based on customer insights.

Own product strategy, roadmaps, backlogs, delivery, adoption, and lifecycle management for healthcare technology applications supporting PACE operations. Lead discovery, requirements, vendor relationships, implementations, integrations, go-lives, training, change management, and success measurement across platforms including Talkdesk, Salesforce, and Epic. Partner with clinical, operational, growth, technical, and vendor teams to improve workflows and scale technology across new healthcare centers.

Own budgeting, rolling forecasts, financial modeling, SaaS metric reporting, variance analysis, scenario planning, and FP&A process improvements. Partner with executives, department leaders, Accounting, investors, and the board on decision support, reporting, growth initiatives, resource allocation, and potential M&A activity. Ensure forecasts align with accounting actuals and support the scaling of a PE-backed SaaS finance function.