Top Remote Senior Level Jobs in Jacksonville, FL

Lead Pigment’s full sales cycle from prospecting through deal close, build executive-level customer relationships, develop business plans, consult on business transformation use cases, negotiate agreements, maintain Salesforce records, and support renewals with Customer Success. The role requires quota-carrying technology or financial-services sales experience and focuses on driving revenue across North American corporate accounts.

Designs and leads enterprise Cisco ThousandEyes deployments, including architecture assessments, agent rollouts, test and alert strategies, integrations, migrations, and client roadmap sessions. Serves as a Level 3+ escalation point for networking issues, develops automation using Python, APIs, and Terraform, supports presales and SOW scoping, mentors engineers, and advises strategic accounts on digital experience monitoring.

Own G2’s research agenda for evaluating AI agents in realistic business workflows. Design benchmarks, task environments, scoring systems, automated and human grading methods, and reliability analyses. Collaborate with engineering and product teams to ship evaluation capabilities, communicate findings to customers and researchers, mentor technical teams, and establish repeatable standards. The role requires hands-on LLM and agent evaluation experience, original research, statistical judgment, product delivery, and technical leadership.

Manage client projects from kickoff through delivery, coordinating design, marketing, development, and subcontractor teams. Own project plans, timelines, scope, budgets, communication, and profitability across multiple projects and retainer relationships. Build client partnerships, facilitate meetings, resolve roadblocks, improve agency workflows, and maintain delivery quality. The role is fully remote but requires residence and work in the Eastern Time Zone.

Develop and manage direct client and agency relationships across the UK and Europe, sell Mozilla’s digital advertising products, exceed revenue and logo targets, build sales pipelines, analyze campaign performance, maintain CRM records, and communicate customer feedback to product and marketing teams. The role requires strong digital media sales experience, major agency and brand relationships, knowledge of online media planning and performance advertising, and excellent communication and organizational skills.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and high-quality data products. Design scalable processing and storage patterns, orchestration workflows, and data warehousing solutions while collaborating remotely and documenting technical designs.

Develop and support a production full-stack platform for alternative investment managers. Responsibilities include building frontend features, backend services, APIs, data-ingestion workflows, validation, scheduled jobs, SQL queries, database migrations, audit trails, access controls, automated tests, and production issue resolution. The role also involves code reviews, releases, technical documentation, and coordination with technical and DevOps teams on deployments and upgrades.

Leads a seven-person Customer Success team across named and pooled engagement models. Responsibilities include coaching, hiring, workload allocation, queue health, adoption, churn and downgrade reduction, escalation management, expansion opportunity identification, reporting, CRM data quality, and continuous improvement of CS plays and workflows. The role partners cross-functionally with Support, Product, Implementation, and Sales and requires up to 25% travel.

Develop and maintain brand positioning, voice, messaging, and brand kits for a portfolio of university partners. Translate marketing briefs into creative briefs for paid social, email, SMS, and other campaigns; collaborate with SEO, paid media, lifecycle, research, and agency teams; present campaign kickoffs; review results; and apply insights to future work. Serve as a lead-level resource on complex positioning and messaging challenges while using AI tools to scale research and content development.

Develop and validate machine learning models, training pipelines, inference systems, and numerical methods using Python. Debug algorithmic and system-level issues, optimize memory usage and performance, design systematic tests, and build reproducible workflows. Review challenging ML engineering tasks, use coding agents in development, document technical findings, and deliver high-quality work independently within deadlines.