Top Tech Jobs & Startup Jobs in Cleveland, OH

Lead corporate strategy and strategic planning, assess risks and opportunities, scope and run cross-functional projects, analyze data to form recommendations, leverage agentic AI, create executive communications, drive change and Ways of Working, and travel ~10-20% for company needs.

Manage engagement and retention for an SMB client portfolio through proactive virtual relationship management, Salesforce-driven campaigns, analytics (Power BI), and cross-functional coordination. Drive upsell/adoption opportunities, improve self-service resources, and ensure accurate documentation of client interactions and program performance.

Partner with Sales to design and present scalable, client-aligned enterprise solutions. Lead discovery, develop customized demonstrations and POCs, support RFP/RFI responses, and manage onboarding for moderate to complex accounts. Coordinate implementation activities, support configuration and migrations, mitigate technical risks, and ensure smooth transitions to Implementation while communicating feedback to Product and Engineering.

Design, build and deploy production AI/ML solutions from complex, distributed farm data. Engineer features, select models, run experiments, move models to scalable real-time production, monitor and observe AI systems, evaluate emerging AI technologies, and collaborate with product, engineering and domain teams. Contribute to user-facing features with React/TypeScript as needed.

Support Assistant Controller with month-end close, journal entries, account reconciliations, audits, invoice/payment processing, Oracle/Power BI reconciliations, refund approvals via Jira, and ad-hoc financial projects including M&A integration and international operations support.

Own and govern the Altium component library and Enterprise Server. Create and verify IPC space-grade footprints, enforce EEE-INST-002 Level 3 selections, manage automotive/COTS up-screening and PEM governance, embed derating rules, track lifecycles/obsolescence, enforce part request workflows, and support manufacturing integration and occasional travel.

Sell software and services to new logo mid-market accounts: prospect, conduct discovery, deliver tailored demos, negotiate contracts, manage CRM pipeline, forecast sales, collaborate cross-functionally, and mentor junior AEs to meet targets.

Manage a portfolio of strategic B2B SaaS accounts to drive retention and expansion. Build account strategies, lead executive conversations, connect product usage to business outcomes, use AI signals to prioritize work, and travel for customer meetings and company events.

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.