Top Remote Senior Level Jobs in Cleveland, OH

Own the full outbound sales cycle for mid-market merchants, including prospecting, discovery, demonstrations, negotiation, and closing. Build pipeline through cold outreach, social selling, and targeted campaigns; develop tailored multi-product solutions; acquire net-new customers; manage complex, multi-stakeholder deals; maintain accurate Salesforce forecasting; and consistently achieve revenue targets while collaborating cross-functionally.

Own the full outbound sales cycle for mid-market merchants, including prospecting, pipeline generation, discovery, demos, negotiation, and closing. Develop tailored multi-product Square solutions, acquire net-new customers, collaborate with business development and cross-functional teams, manage Salesforce forecasting, and consistently exceed revenue targets.

Manage personal auto insurance product forms, contracts, and initiatives. Conduct state-specific competitive intelligence, analyze coverage and regulatory information, recommend product changes, and communicate updates to stakeholders. Monitor bureau and state activity, support regulatory filings, answer contract-related inquiries, develop customer-facing language, and lead process improvements. The role requires cross-functional project management, strong analytical and communication skills, and experience interpreting insurance policy contracts.

Provide tax planning and compliance services for high-net-worth individuals and privately-owned businesses. Lead strategic tax advisory projects, manage and coach teams, navigate complex tax regulations, and communicate holistic tax strategies to clients while ensuring quality and client validation.

Owns end-to-end P&L management for co-branded deposit products within Consumer Banking finance. Responsibilities include budgeting, forecasting, actuals tracking, profitability analysis, variance analysis, monthly reporting, scenario modeling, business case support, revenue forecasting, and executive communications. The role partners with product, segment, and cross-line-of-business finance teams to improve financial performance and support investment decisions.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.