Top Remote Senior Level Jobs

Own the commercial growth plan for small accounts and improve BrainPOP’s e-commerce, subscription, onboarding, and expansion experiences. Responsibilities include funnel and cohort analysis, revenue forecasting, experimentation, marketing automation, journey design, segmentation, workflow optimization, and translating growth needs into product and integration requirements. The role leads cross-functional initiatives across Product, Engineering, RevOps, Data, Finance, Sales, and Customer Success, driving improvements from requirements through launch and measurement.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Retain and grow a multi-million-dollar SMB client base by addressing customer concerns, reducing churn, increasing product adoption, and identifying expansion opportunities. Serve as a trusted advisor, negotiate solutions, manage revenue pipelines, and collaborate with Sales, Support, Product, and Analytics teams to improve retention strategies and customer outcomes.

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.

Lead medium-to-large software implementation projects for utility, telecommunications, and government clients. Manage schedules, budgets, risks, requirements, design, development, testing, change control, and delivery. Coordinate technical and business teams, maintain client relationships, support estimates and statements of work, mentor project managers, and identify business-development opportunities. Projects involve AutoCAD-based design, system integrations, ERP, EAM, GIS, data management, and IT strategy.

Provides onsite operational and engineering support for large-scale Juniper enterprise and data center networks. Responsibilities include network design, deployment, validation, troubleshooting, wireless optimization, RF analysis, incident response, automation, lifecycle management, documentation, and customer training. The engineer supports Juniper Mist, Marvis AI, QFX and EX platforms, routing protocols, EVPN/VXLAN environments, upgrades, migrations, and JTAC case resolution while maintaining customer satisfaction and network performance.

Hunt new logos by prospecting, cold calling, building an independent pipeline, and selling SaaS and cloud solutions to independent insurance agencies. Partner with solution consultants to develop business plans, conduct consultative sales, close new business, follow up on leads, attend industry events, and cultivate post-sale referrals. The role requires remote work within the assigned territory and travel up to 50%.

Develops territories and acquires mid-market and enterprise customers for Comcast Business solutions. Responsibilities include prospecting, building strategic partnerships, delivering sales presentations, negotiating contracts, exceeding sales targets, managing customer relationships, supporting retention, and maintaining sales records. The role requires knowledge of business networking, cybersecurity, and telecommunications technologies, along with regular customer meetings and flexible scheduling.

Partners with business stakeholders and AI leadership to identify and evaluate workplace AI use cases, quantify business impact, develop buy-versus-build recommendations, and track adoption, performance, and ROI. The role analyzes workflows and operational data, creates baselines, dashboards, business cases, vendor comparisons, and executive-ready recommendations to guide AI implementation and adoption strategies.