Top Tech Jobs & Startup Jobs in Little Rock,

Oversee R&D and collaborate with business partners to enhance learning strategies. Responsible for strategic alignment and leadership in learning initiatives.

The Account Partner for Veeva Basics will be responsible for driving sales, building relationships with biotech companies, and executing sales strategies to achieve growth targets.

Lead global marketing strategy and execution across brand, product marketing, digital, content, and events. Manage a central marketing team, own global product positioning and messaging, oversee digital channels and major events, develop sales collateral, and drive marketing-sourced pipeline in collaboration with Sales, Partnerships, Product, and Engineering.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

The Solutions Engineer supports the sales process with technical expertise, engaging in product demos and post-sales project delivery while managing client relationships.

The Global Commercial Leader will define and execute the go-to-market strategy for enterprise customers in pharma R&D, bridging science and digital operations through effective storytelling and strategic partnerships.

The Director of Product will lead product management, define strategic visions, enhance veterinary product experiences, and mentor teams to achieve business goals.

Lead and scale product operating systems across a multi-product SaaS portfolio. Build planning cadences, prioritization frameworks, tooling strategy, launch readiness, competitive intelligence, and automated product-health monitoring. Synthesize product usage, feedback, and market signals into decision-ready insights and dashboards. Partner cross-functionally to reduce operational friction and support responsible AI-enabled workflows.

Lead Fullstack Developer responsible for team leadership, architectural decisions, and implementation of backend and frontend solutions using various technologies, with a focus on AI.

Design, build, and maintain scalable, reliable data systems and pipelines. Partner with Product, Sales Ops, and Finance to deliver analytics and self-service tooling. Maintain SLOs, improve pipeline reliability, implement testing and documentation, and contribute to data platform strategy and operations.