Top Tech Jobs & Startup Jobs in Cleveland, OH

Own catalog and merchandising data quality end-to-end: monitor catalogs, resolve data issues with brands or directly in Shopify, enforce merchandising standards, audit pricing rules, maintain product structure and discoverability, and partner with Product/Engineering to fix systemic issues and document standards.

Lead customer implementations for a SaaS business management platform: manage kickoff, configure custom templates and workflows, deliver virtual training, track milestones, resolve technical issues, analyze onboarding data, and optimize processes to reduce time-to-value and improve customer satisfaction.

Design and deploy scalable data science and generative AI solutions: acquire and ETL data from S3/RedShift/Spark, analyze data quality, build/validate models (ML, NLP, networks), deploy models to production, and mentor teams while collaborating with stakeholders and engineering.

Lead design and implementation of scalable data science and ML solutions: acquire and ETL data from S3/Redshift/Spark, analyze data quality and trends, build and validate statistical and ML models (including NLP and neural networks), deploy production models, mentor junior scientists, and communicate results to stakeholders and executives.

Own product delivery for Higher Education engagements: manage backlog, write requirements and user stories, run sprint execution, coordinate with engineering/design, liaise with clients, and apply AI tools to accelerate documentation and analysis to ship production-ready AI quickly.

Manage and grow ZURU's business at Target through joint business planning, buyer relationship management, in-store and online execution, and cross-functional collaboration to maximize shelf share, distribution, and P&L performance.

Design, build, and deploy production-grade AI/ML solutions that convert complex, distributed farm data into actionable intelligence. Engineer features, select models, run experiments, and move models to scalable, real-time production. Integrate, fine-tune, monitor, and observe models on cloud infrastructure (AWS, Databricks). Partner with product, engineering and domain teams and contribute to user-facing experiences when needed.

Lead implementation, optimization, and adoption of C&I fundraising processes, systems, and workflows. Manage intake and request systems, map end-to-end workflows, identify and drive process improvements, support change management and rollouts, coordinate internal projects, and create SOPs, playbooks, and training documentation. Act as C&I business representative across cross-functional initiatives to ensure scalable, user-focused solutions and continuous improvement.

Lead QA automation for the LASO Qualtrics application: plan and supervise testing teams, develop automated and manual test cases, run performance and accessibility tests, validate data with SQL, report defects, and collaborate with developers and stakeholders to deliver testing services.

Lead and execute automated and manual testing for complex web applications (functional, regression, performance, accessibility, and data validation). Develop test strategies, write and run automated test cases, perform SQL data validation, report defects, and collaborate with development teams and customers to ensure application reliability.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Lead analytics product strategy and delivery by combining user experience, business needs, and technology. Act as primary partner manager for analytics products supporting acute hospital operations, prioritize roadmaps, resolve issues, and drive stakeholder engagement to deliver data-driven solutions.

Lead full‑stack engineering projects across frontend and backend, design system architecture, collaborate with ML researchers and clinicians, implement user‑facing features, define APIs, write tests (unit/integration/e2e), produce technical specs, and use cloud infrastructure and CI to ship iteratively.