Top Tech Jobs & Startup Jobs in Cleveland, OH

As a Senior Data Engineer, you will design and optimize data pipelines, enhance system efficiency, and collaborate with teams to drive health outcomes using large healthcare datasets.

Lead design and develop technical, self-study product training for developer audiences. Create curriculum, interactive tutorials, labs, videos, assessments, and e-learning; drive content strategy, collaborate with PMs and SMEs, perform QA and audits, analyze learner data, and coach junior instructional designers.

The Customer Success Manager ensures customers achieve measurable outcomes using the SQREEM platform by driving outcomes, providing strategic advice, managing customer health, and expanding revenue within accounts.

The Sales Executive will manage the sales process for healthcare solutions, develop business relationships, and lead the bid processes while analyzing market trends.

The Technical Solutions Manager develops and manages utility-scale battery energy storage solutions, focusing on power-side technologies such as inverters and medium voltage equipment, leading technical evaluation, collaboration across teams, and ensuring compliance with industry standards.

The Enterprise Account Executive will source new clients, manage complex relationships, drive sales strategies, and meet ARR targets in a fast-paced technical environment.

Sell Glean's enterprise Work AI platform to large accounts: source and close new logos, manage multi-million dollar deals, navigate complex organizations, run data-driven POCs and ROI analyses, collaborate with internal teams, and meet ARR targets through repeatable sales strategies.

The Import Specialist I processes customer data, manages customs clearance, resolves issues, and ensures compliance with government regulations.

The Director will lead sales development operations, manage a team, drive AI transformation, and oversee pipeline analytics to enhance SDR efficiency and career progression.

Manage and optimize state-specific auto insurance products by setting rates, customizing offerings, monitoring KPIs, analyzing performance, coordinating with actuarial, regulatory, underwriting, and cross-functional teams, and managing external regulatory relationships to drive profitable growth.

Own and implement the canonical data model and governance for a multi-tenant MEP SaaS platform. Architect data for AI/ML readiness (RAG, embeddings, vector search), design polyglot persistence and lake/lakehouse pipelines, lead staged modernization and migrations, produce hands-on prototypes and in-repo guardrails, and partner with platform, DB engineering, and ML teams to ensure data quality, lineage, and observability.