Top Remote Senior Level Jobs in Orlando, FL

Designs, deploys, and operates infrastructure across AWS, Azure, and Microsoft 365/Entra ID. Builds Terraform modules, Go and Python services, CI/CD pipelines, integrations, and automations. Maintains cloud environments, monitors service health, responds to incidents, troubleshoots networks, manages configuration promotion, and supports AI services. The role also provides mentorship, documentation, process improvement, internal customer support, and infrastructure change management.

Leads sophisticated private-company mergers and acquisitions from structuring through closing. Drafts and negotiates purchase and merger agreements, disclosure schedules, and related documents; advises clients on deal structure, negotiation strategy, and risk allocation; manages due diligence, associates, and transaction teams; and maintains relationships with clients, opposing counsel, and financial advisors. The role also supports growth of the firm’s Corporate and M&A practice.

Supports the planning and delivery of grants management offices and technical assistance programs. Responsibilities include coordinating grant lifecycle assistance, developing grants management tools and training materials, researching grant requirements, tracking program outcomes, monitoring compliance, and engaging government, nonprofit, Tribal, and small business stakeholders. The role is primarily remote but requires monthly client site visits across Wyoming.

Serves as the senior technical advisor and strategic partner for Talkdesk’s largest enterprise customers. Leads complex onboarding, platform optimization, technical initiatives, adoption strategies, risk mitigation, and change management. Builds executive relationships, supports business reviews, analyzes usage and ROI, enables renewals and expansion, and coordinates cross-functional resolution across Professional Services, Product, Engineering, Support, Sales, and Customer Success. Develops technical roadmaps, best practices, customer insights, and scalable delivery processes.

Lead and grow a data science team focused on customer intelligence, personalization, product analytics, marketing optimization, and customer lifetime value. Develop predictive and segmentation models, analyze web and mobile engagement, design experimentation programs, and apply causal inference, survival analysis, forecasting, Bayesian methods, NLP, and machine learning. Partner with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into scalable products, actionable recommendations, and measurable business impact.

Lead strategy, portfolio development, go-to-market planning, partnerships, sales enablement, and solution growth for the Cloud practice. Define market strategy and success metrics, package cloud offerings, support sales campaigns, develop partner ecosystems, enable internal teams, and collaborate with engineering, delivery, marketing, and leadership. Drive adoption, profitability, customer success, and sustainable growth across cloud assessments, migrations, FinOps, managed services, modernization, and workplace solutions.

Serve as a technical partner-facing presales engineer: build trusted partner relationships, enable partners to resell and support Akamai products, support channel sales to grow revenue, create customized sales resources and use cases, present technical solutions, and represent partner needs across product, marketing, services, and support.

Own the cloud network security product roadmap, define strategy and priorities, and drive product-market fit through customer engagement and proof-of-concept conversion. Lead enterprise buyer and field-team relationships, translate customer needs into engineering requirements, manage trade-offs, and shape go-to-market positioning with product marketing. Advocate for cloud investments across data center, Kubernetes, and platform capabilities.

Own the second-line technology and cyber risk function, including risk frameworks, registers, appetite metrics, quantitative risk modeling, and board reporting. Independently assess security controls, penetration tests, vulnerabilities, AI systems, vendors, and regulatory requirements. Partner with Engineering and Security to identify infrastructure, application, model, cryptographic, and emerging technology risks while overseeing AI governance and supporting regulatory and counterparty assessments.

Own the operational risk discipline within the enterprise risk program. Responsibilities include designing the operational risk framework, managing loss events, running RCSA assessments, conducting scenario analysis, testing controls, supporting Engineering incident reviews, tracking remediation, and preparing risk reporting for the CRO, Risk Committee, and board.

Lead onboarding and product discovery for utility customers: run and systematize onboarding, translate customer workflows into product requirements, prioritize features, write MRDs/PRDs/TRDs, coordinate cross-functional delivery, and create repeatable processes to turn pilots into scalable deployments.

Lead product ownership for the Commerce platform: manage backlog, translate strategy into epics/features/user stories, prioritize initiatives, define roadmap, liaise with stakeholders and engineering, and produce executive reporting and KPI dashboards to drive delivery and product performance.

Own the full sales cycle for new business acquisition in the Distribution market, targeting mid-market SaaS deals exceeding $100K ARR. Responsibilities include prospecting, discovery, product demonstrations, consultative selling, MEDDPICC-based opportunity management, negotiation, pipeline development, forecasting, CRM maintenance, and customer handoffs. The role partners with SDRs, Sales Leadership, Marketing, and Customer Success to drive revenue growth and optimize go-to-market execution.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.