Top Remote Senior Level Sales Engineer Jobs in Cleveland, OH

The Senior Solutions Engineer will sell technology solutions to executives, manage RFP responses, and enhance customer satisfaction through strategic deal execution and solution-selling.

Collaborate with sales teams to design solutions, execute pilot strategies, and act as a technical liaison for law firms, ensuring security and enterprise readiness.

Lead technical evaluations, demos, and proof-of-concepts of the Domino platform for US federal and defense customers. Design solution architectures meeting federal security/compliance (FedRAMP, IL5), build reusable demo assets, and drive post-POC adoption working with Sales, Customer Success, and Solutions Architects to increase win rates and accelerate deployment.

Drive technical pre-sales for GitLab's AI-powered DevSecOps platform in the US East region. Lead technical discovery, design solutions, run proofs of value, facilitate workshops, and develop account-level adoption strategies. Collaborate with sales and product teams, mentor other architects, provide competitive positioning, and feed field insights to product and engineering to improve adoption and roadmap alignment.

Own end-to-end virtualization solution architecture for complex pre-sales opportunities, from discovery and technical workshops through design validation and deal progression. Partner with sales, architects, and practice leaders to develop scalable solutions, BOMs, SOWs, demos, and execution plans. Identify cross-practice opportunities across cloud, networking, security, and platform engineering, support professional services engagements, advise senior clients, escalate technical risks, and mentor solution architects and engineers.

The Sales Engineer will serve as a technology advisor for Enterprise customers, deliver demos, design tailored architectures, and collaborate with internal teams to drive sales and influence product development based on customer feedback.

Drive adoption of Guidewire PricingCenter among North American P&C insurance carriers. Engage actuarial, underwriting, and pricing leaders to understand models, workflows, and modernization goals; translate needs into solution proposals; guide stakeholders through enterprise software evaluations and commercial agreements; identify opportunities, build pipeline, represent Guidewire at industry events, and relay customer needs to product and engineering teams.

Manage technical presales activities for enterprise customers, including discovery workshops, solution prototypes, customized demos, presentations, RFP/RFI responses, and integration or data migration guidance. Partner with sales, product, engineering, and support teams while managing multiple customer engagements and meeting sales objectives. The role requires business intelligence, database, cloud data warehouse, ETL, and production BI implementation experience, with 25% travel.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, AI agents, and cloud endpoint solutions. Deliver demonstrations, discovery sessions, whiteboarding, solution designs, and proof-of-concept support. Develop technical win strategies, address objections and blockers, collaborate with partners and internal teams, educate customers, and guide adoption while embedding governance, security, and compliance into proposed solutions.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Serve as the technical partner to institutional sales, leading discovery, solution architecture, demos, workshops, proofs of concept, evaluations, RFPs, security reviews, and implementation handoffs for Prividium. Translate regulated financial-institution requirements into credible blockchain architectures, coordinate cross-functional teams, manage technical expectations, and provide customer evidence to Product and Engineering. Build repeatable reference architectures and playbooks for the solutions-engineering function.