Top Tech Jobs & Startup Jobs in Cleveland, OH

Coordinate and track schedules, processes, and resources for game features and assets. Drive completion of project goals and deliverables, communicate vision and targets across teams, identify roadblocks, and support production leads with daily routines and reporting.

Lead development of a new AAA IP as Lead Producer: manage multi-location internal and external teams, develop budgets and schedules, support the Creative Director, enforce development processes, mentor producers, set milestone goals, coordinate testing and outsourcing, and identify and mitigate project risks to deliver on time, budget, and quality.

Lead global engineering teams for S365 and SmartShopper, partner with Product and Architecture to deliver scalable cloud solutions, drive modernization and operational excellence, mentor managers and senior engineers, and establish engineering standards, roadmaps, and metrics to improve delivery, reliability, and performance.

Lead positioning, messaging, and GTM for the Foundation platform pillar—translating identity, data, API, MCP, and security capabilities into technical selling materials, proofs, enablement, and launch programs to win technical and economic buyers.

Lead the roadmap and delivery of specialized ML models and applied intelligence for verticalized B2B marketing use cases. Partner with data science, stakeholders, and customers to define domain-specific requirements, build leveraged modeling solutions, and measure real-world revenue impact. Translate core predictive engines into productized features that scale across industries.

Lead and manage a specialized Product Management pod owning the Predictive Platform. Define strategy, roadmap, model training/measurement standards, and cross-model initiatives to scale core predictive engines across the product ecosystem. Serve as player/coach, partner with leadership, and ensure data-to-model integrity and platform reuse.

Own OEM-facing product roadmap for the Automotive Enterprise Cloud, translate OEM requirements into scalable integrations (APIs, data pipelines, reporting), lead discovery and delivery with cross-functional teams, define success metrics, produce product artifacts, and drive OEM adoption and satisfaction.

Lead enterprise sales to health systems by building C-suite relationships, identifying new business, aligning solutions to hospital objectives, guiding EMR integrations, supporting negotiations, and representing the company at industry events while ensuring regulatory compliance and measurable ROI.

Lead and develop a sales engineering team to onboard complex enterprise customers, oversee end-to-end onboarding projects, partner with sales, manage workload and metrics, resolve escalations, design scalable onboarding solutions, and drive process improvements using data.

Hunt and secure net-new medium-to-large business accounts within a territory. Develop strategic prospecting and sales plans, collaborate with internal teams for pricing and onboarding, build tailored presentations, use sales tools to document engagements, and manage high-value accounts to close deals.

The Implementation Manager oversees the implementation of a platform for school districts, ensuring alignment with goals, managing projects, and building relationships with stakeholders to ensure effective adoption.

Prepare and post customer invoices and payments, support collections and billing setup in NetSuite/SuiteProjects, handle customer and internal communications for billing issues, assist month-end AR close and reconciliations, support audits and external data requests, and identify process improvements to streamline accounts receivable operations.

The Sales Data Analyst is responsible for collecting, analyzing, and reporting sales data to enhance productivity, create reports, and maintain data integrity in Salesforce.

Build and maintain scalable batch and streaming ETL/ELT pipelines, data models, and data warehouse architectures. Implement orchestration, quality, governance, and monitoring. Create self-service dashboards, enable ML/AI-ready datasets and feature pipelines, optimize performance, and collaborate with cross-functional teams to deliver analytics and AI-enabled solutions for customer experience and post-sales operations.

Analyze customer support transcripts, surveys, and operational data to identify CX drivers and root causes. Integrate feedback with transactional and behavioral data, build periodic and ad-hoc reports, apply SQL, statistical analysis and scripting to automate workflows, and communicate actionable insights to cross-functional teams to improve support programs.