Top Tech Jobs & Startup Jobs in Little Rock,

Lead Headway’s customer experience operation across Agent Success, Customer Care, Programs, and Systems, managing over 100 employees and 800 partner agents. Own end-to-end support quality, performance, staffing, forecasting, costs, training, QA, procedures, systems, and AI-enabled automation. Partner with Product and R&D to improve customer experience and reduce support demand while developing a high-performing leadership team.

Develop and close enterprise public-sector business across state, local, and education accounts. Build executive relationships, lead account strategies, manage complex proofs of concept and trials, support RFP wins, exceed revenue quotas, and collaborate with sales engineering, product, software engineering, and partners to address customer needs and demonstrate integrated solutions.

Deliver and implement Liberty National training systems across field agencies, schedule and conduct webinars/meetings, create training materials, mentor field supervisors/directors, monitor field performance, manage travel and expenses, and complete weekly field reports to drive adoption and efficiency.

Leads and scales the HR Engineering team supporting Workday and related HR applications. Provides technical and functional mentorship, oversees Workday operations, drives automation, upgrades, process improvements, testing, and implementations. Partners with stakeholders, security teams, vendors, and geographically distributed teams to deliver secure, scalable HR technology solutions. Manages vendor RFPs and relationships while coordinating technical projects and continuous improvement initiatives.

Own month-end close, journal entries, reconciliations, accruals, accounts payable, expenses, corporate cards, and audit readiness. Partner with the Controller and Engineering to automate Finance workflows using AI and automation tools. Evaluate and implement Finance technology, support budgeting, forecasting, reporting, and complete process-improvement projects in a SaaS environment.

Define and execute the product vision and roadmap for Runpod’s AI cloud platform, including GPU infrastructure, serverless endpoints, APIs, foundational services, and developer experience. Lead and scale the product and design organization, engage customers, partner with engineering and infrastructure leadership, establish pricing and packaging, guide go-to-market strategy, and prioritize initiatives using product analytics and customer insights.

Lead enterprise digital strategy and transformation engagements, assessing customer experiences, operating models, capabilities, and technology ecosystems. Develop digital roadmaps, prioritized recommendations, business cases, and AI-enabled use cases. Advise C-suite stakeholders, facilitate executive workshops, define customer-centric omnichannel strategies, and align multidisciplinary teams across experience design, product, data, technology, and marketing.

Develop and execute lifecycle and growth marketing programs for B2B SaaS developers, driving platform adoption, retention, expansion, and revenue. Own campaigns across onboarding, activation, re-engagement, and monetization; optimize messaging, channels, and user journeys through experimentation and A/B testing. Partner with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Analyze customers, markets, and KPIs to identify growth opportunities and deliver measurable programs.

Lead consumer strategy and business development for Coursera-Udemy’s global direct-to-consumer ecosystem. Identify, negotiate, and execute strategic partnerships that expand distribution, increase revenue, and improve engagement and retention. Manage the full partnership lifecycle, from opportunity assessment and outreach through negotiations, onboarding, integration, and performance monitoring. Collaborate with Product, Engineering, Design, Marketing, Legal, Finance, and Data teams while analyzing market opportunities and tracking acquisition and growth metrics.

Build and operate production-grade ELT pipelines from product, Salesforce, and third-party systems into Snowflake using dbt. Ensure testing, monitoring, schema versioning, governance, privacy, access controls, data quality, cost, and performance. Support AI initiatives with trusted data, contribute to warehouse and semantic-layer architecture, and translate cross-functional stakeholder needs into scalable data solutions.