Top Tech Jobs & Startup Jobs in Fayetteville-Springdale-Rogers,

Convert shopper and retail environment data into actionable category, retail and customer strategies. Develop consumer selling stories using segmentation, generate behavior-changing insights, curate social intelligence, and drive data-informed recommendations for innovation, communication, and revenue planning. Partner with marketing, sales, customers, and agencies to integrate shopper insights into plans and optimize performance.

The role involves prospecting and relationship-building to secure sales partnerships in the education sector, transitioning secured deals to Account Managers for execution.

Responsible for selling Xtime products to franchise dealerships, generating sales revenue, building dealer relationships, and overcoming deal-level challenges in a designated territory.

The Client Services Specialist I will coordinate client accounts, ensure communication of program requirements, and provide technical support while maintaining client satisfaction.

The Product Development Manager will drive the new product development process for Shark's Home Environment category, ensuring projects are aligned with goals while mentoring junior staff and collaborating with cross-functional teams.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

The Senior Consumer Insights Analyst leads consumer insights within cross-functional teams by managing research processes, synthesizing data, and delivering actionable findings to influence product development and strategy.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

Lead and oversee high-complexity portfolios (often >$70M), manage strategic initiative governance, budgeting, milestone reporting, vendor relationships, and mentor other portfolio managers while coordinating across multidisciplinary teams to ensure portfolio success.

Lead product vision and roadmap for merchant services analytics, prioritize backlog, translate business and technical requirements (including Oracle schemas), coordinate Scrum teams, perform UAT, and deliver analytics and compensation-related data solutions while managing stakeholder intake and transparency.

Lead Deepgram's demand-generation function end-to-end: set strategy, build an AI-native repeatable demand system, run integrated performance campaigns (paid, web, events, field), partner with Sales and RevOps to convert leads to revenue, hire and grow a high-performing team, and establish attribution and reporting that ties spend to pipeline and revenue.

Drive enterprise sales by identifying and closing deals with restaurant operators, managing complex sales cycles, and building executive relationships.

As a Partner Success Engineer at Deepgram, you will drive partner engagement, manage technical enablement, and ensure successful integration of AI solutions, while continuously optimizing workflows and fostering collaboration across teams.

Lead program delivery for Agent Cockpit, coordinating cross-functional teams, managing roadmaps, dependencies, launch readiness, security reviews, reliability and observability programs, and agent enablement to ensure a stable, performant internal compliance platform.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

Design, implement, and scale core operational workflows; drive execution strategy and automation; perform data-driven analyses; and lead cross-functional efforts with product, engineering, payer, and CX teams to improve efficiency and operational health.