Top Tech Jobs & Startup Jobs in Little Rock,

The Principal of Solution Engineering leads pre-sales efforts, designs digital healthcare experiences using League's platform, and collaborates across teams to deliver AI-driven solutions while ensuring compliance with security policies.

The Senior Solution Engineer will collaborate with clients to develop scalable solutions, manage technical implementations, and enhance customer success through advanced computing technologies.

Lead performance-driven client relationships in a marketing agency, connecting client goals to strategies, managing accounts closely, and guiding internal teams for measurable outcomes.

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Design, build, and maintain scalable ELT data pipelines and models to power reporting, analytics, and operational workflows. Troubleshoot data quality and performance, participate in incident response, support CI/CD deployments, collaborate with cross-functional teams, and contribute to data platform modernization and engineering best practices.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.

Own and scale the GTM tech stack (Salesforce, HubSpot, integrations), build AI-powered automations and data pipelines, ensure data quality and governance, and partner cross-functionally to optimize revenue processes and operational efficiency.

The Pre-Sales Solution Architect will design technical solutions, respond to client inquiries, and collaborate with sales and delivery teams to align solutions with business needs.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

Manage a portfolio of healthcare market research clients, build long-term relationships, generate bids and proposals, consult on sample design, liaise with vendors and internal teams, support project timelines and issue resolution, and assist business development and finance functions.