Top Remote Jobs in Memphis, TN

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Own end-to-end sales across K-12 school districts in designated territories. Build executive relationships, develop territory strategy and pipeline, navigate procurement and legal processes, lead consultative sales cycles, represent Marble in field meetings and conferences, and partner cross-functionally to drive implementation, adoption, expansion, and quota attainment.

Provides presales technical architecture and enablement for HPE storage solutions through channel partners. Advises partners and customers, designs storage and data protection solutions, delivers demos and presentations, supports configurations and proofs of concept, develops competitive strategies, and advances opportunities through the sales cycle. Builds partner technical capabilities through workshops, labs, certifications, and technical advocacy. The role is remote within the North Carolina/Tennessee region and requires approximately 50% travel.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Owns the executive relationship and commercial growth strategy for a critical strategic account. Responsibilities include revenue retention and expansion, cross-selling, complex contract renewals, multi-year account planning, executive business reviews, and integrated solution design across roadside assistance and accident management services. The role requires senior-level engagement with C-suite stakeholders, cross-functional leadership, high-stakes negotiation, and frequent travel for client engagement.

Leads enterprise forecasting, financial planning, scenario modeling, performance reporting, and strategic decision support. Builds planning frameworks, governance, dashboards, and executive insights across financial and operational drivers. Partners with senior leaders across Finance, Product, Marketing, Operations, Technology, Treasury, Risk, and Strategy. Manages planning cycles, develops a high-performing team, improves analytics and processes, and strengthens risk awareness.

Own Sprout Social’s partner and platform integration ecosystem, developing scalable integration strategies, roadmaps, lifecycle processes, packaging, pricing, permissions, and licensing models. Partner with Engineering, Partnerships, GTM, and customers to prioritize investments, launch integrations, and balance immediate commercial needs with long-term platform scalability. The role requires technical fluency in integration architecture, strong commercial judgment, and ownership of measurable product outcomes.

Build and maintain agent skills, tooling, and evaluation infrastructure: CLIs, libraries, CI workflows, metrics, safety gates, and observability for agent behavior. Design evaluation datasets, investigate failures, and collaborate with product and security teams to ship reliable, reusable internal systems.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.