Top Remote Senior Level Jobs in Cleveland, OH

Own strategy, roadmap, and delivery for first-party and third-party risk management products. Define features across the risk lifecycle, conduct customer discovery, translate domain requirements into specs, collaborate with engineering/design/QA, monitor metrics, and partner with go-to-market teams to drive adoption.

Lead and develop a team of quota-carrying sellers to meet team revenue targets. Own pipeline health, forecasting, territory design, playbook creation, coaching, and performance management. Partner cross-functionally to remove blockers, join client meetings, handle escalations, and represent Chicory externally. Deliver data-informed forecasts and build repeatable sales processes while fostering team culture and retention.

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Support compliance monitoring, testing, and branch audits for acquired firms during integration. Conduct risk assessments, audits, and branch exams; identify trends, document workpapers, track remediation action plans, assist policy development, and report to Compliance leadership while staying current on regulatory developments.

Design, implement, and administer the firm's enhanced-risk monitoring and supervision framework for clients, employees, advisors, and business practices. Develop risk-scoring and high-risk criteria, oversee enhanced due diligence, manage heightened supervision plans, perform risk assessments, produce dashboards and reports, and support regulatory readiness and audit documentation.

Support delivery of rail and transit infrastructure by coordinating project documentation, tracking schedules and project controls, preparing reports and dashboards, assisting construction administration, managing logs (RFIs, submittals, change orders), facilitating stakeholder communication, and supporting project closeout and commissioning activities.

Lead end-to-end performance marketing on Meta for a new service line: strategy, campaign execution, optimization, reporting, and A/B/multivariate testing. Coordinate attribution, funnel and landing page optimization, vendor relationships, and apply analytics to scale efficient customer acquisition while leveraging AI/automation to streamline reporting and QA.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Lead regional new business strategy and execution across Commercial and Employee Benefits. Recruit, develop, and retain Advisors and Sales Leaders. Drive sales activity via CRM, SCORE model training, forecasting, and reporting. Partner with segment leadership to enhance client experience, identify growth opportunities, and ensure advisor integration and training with partnered firms.

Manage and coach a Technical Account Management team to ensure high-quality, proactive support for Relativity customers. Oversee capacity planning, KPI performance, ticket and tenant health monitoring, on-call rotations, and cross-functional coordination with Product and Engineering. Drive service reviews, troubleshoot complex technical issues (SQL, Azure, VMs, storage, networking), and develop employees' technical and product skills while maintaining customer relationships and operational excellence.

Serve as trusted advisor for an enterprise Docebo LMS portfolio: drive adoption, translate strategy into platform configurations, manage renewals, mitigate churn, identify upsell opportunities, and coordinate cross-functional resources to deliver measurable learning outcomes.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Drive architecture choices (attention variants, MoE), optimize training stability and optimizers, validate scaling laws and compute/data tradeoffs, design loss and alignment strategies (RLHF, DPO, contrastive), and execute distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and checkpointing while partnering with ML systems teams.