Top Tech Jobs & Startup Jobs in Cleveland, OH

Own strategic relationships with complex enterprise clients, serving as a trusted executive advisor and voice of the customer. Lead migrations from legacy travel-management technology to Navan, including scoping, implementation, go-live, and hypercare. Drive adoption, retention, compliance, training, health checks, business reviews, risk mitigation, and churn prevention. Partner with Product, Engineering, and Sales on feedback, enhancement requests, and escalations while managing stakeholder alignment and change resistance.

Leads a data science team and personally drives analyses, experimentation, and product analytics to identify patient experience improvements. Partners with Product, Engineering, Research, and Data Engineering teams to develop product features, evaluate business and product performance, guide product planning, and translate statistical findings into actionable recommendations. Manages and develops analytical talent while applying data storytelling, A/B testing, marketplace metrics, and retention, conversion, engagement, and churn analysis.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.

Pre-sales SAP technical consultant supporting late-stage sales: advise on SAP (S/4HANA, ECC) integrations, design/validate integration workflows, map financial data to SAP structures, demonstrate integration requirements, deliver POCs, and relay product gaps to engineering.

Lead customer implementations for school districts, state agencies, and foundations. Manage onboarding project lifecycles, configure platforms, resolve implementation roadblocks, coordinate multiple stakeholders, identify expansion opportunities, deliver webinars and on-site training, synthesize customer feedback for product teams, and maintain implementation records for post-launch handoffs.

Own end-to-end design for mobile casino, bingo, and social games, including core mechanics, bonus features, monetization, virtual economies, UX/UI, LiveOps, and seasonal content. Partner with math, engineering, and QA teams on RTP, volatility, documentation, and implementation. Analyze KPIs such as retention, ARPDAU, session length, and LTV to guide tuning and experiments. Use AI tools for prototyping, concept development, specifications, and research.

Lead application security engineering across the SDLC using AI-assisted threat modeling, automated security testing, vulnerability prioritization, and secure-by-default controls. Partner with Engineering, Product, QA, DevOps, and AI platform teams to secure applications, APIs, cloud infrastructure, data, and AI/ML systems. Build security automation, CI/CD controls, policy-as-code guardrails, developer enablement, and proactive defenses against emerging threats such as prompt injection and data poisoning.

Own the full sales cycle for new plaintiff law firm clients across a regional territory. Responsibilities include self-sourced outbound prospecting, pipeline development, referrals, events, partnerships, discovery, ROI-focused demos, deal management, and consistently exceeding revenue targets. The role requires managing a high-velocity sales book, attending industry conferences, and traveling up to 50%.

Leads the architecture, integration, governance, and operational health of the marketing technology ecosystem. Designs cloud-native APIs, data pipelines, identity models, and AI-enabled workflows across Adobe, Salesforce, CRM, CDP, analytics, and activation platforms. Manages platform roadmaps, technical teams, vendors, budgets, governance, security, and delivery. Partners with Marketing, IT, Data, Legal, Privacy, and Security to enable scalable, compliant martech and AI adoption while translating technical decisions into business outcomes.