Top Remote Senior Level Jobs in Memphis, TN

Owns the vision, customer focus, and product backlog for a near-real-time data product. Prioritizes work based on business value, leads backlog grooming, communicates product direction, and partners with Scrum Masters and development teams to ensure delivery aligns with client requirements and business objectives.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

Leads the HR technology strategy, roadmap, and HRIS team. Oversees UKG Pro, workforce management, benefits administration, system integrations, HR data infrastructure, security, governance, and reporting. Partners with IT, Data, Finance, Recruiting, Compensation, and People Operations on implementations, acquisitions, and technology initiatives. Establishes scalable processes and documentation while developing HRIS professionals and external partners.

Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.

Partners with account executives, customers, Customer Success, and Product to lead discovery, solution design, technical validation, business-case development, demonstrations, workshops, and trials. Translates customer objectives into Webflow solutions, communicates technical value, influences product direction, and supports multiple opportunities. The role requires consultative selling, strong storytelling and presentation skills, familiarity with APIs and web technologies, creative AI-assisted problem-solving, and up to 25% travel.

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.