Top Tech Jobs & Startup Jobs in Cleveland, OH

Own conversion rate optimization for B2B technology and SaaS clients by analyzing user behavior, managing tracking, developing and launching A/B tests, optimizing landing pages and lead-generation flows, and reporting results. The role requires statistical analysis, experimentation, dashboard development, cross-functional collaboration, client presentations, and translating data into prioritized growth recommendations.

Respond to customer inquiries through email, chat, and phone; provide accurate updates; track and resolve issues; escalate complex cases; maintain CRM and support records; identify recurring problems; and coordinate internal handoffs. The role emphasizes empathy, professionalism, organization, clear communication, and timely follow-through in a remote environment.

Conduct job analyses, design and implement training and development programs, perform psychological testing and assessments, support organizational decision-making and employee well-being. Work hybrid between New Delhi office and remote.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

Manage HR operations including onboarding, employee relations, and performance management. Support recruitment, implement HR policies for compliance, facilitate training and engagement programs, and analyze HR data to inform decisions and improve employee experience.

Develops and closes high-value sponsorships, investment partnerships, and strategic alliances. The role engages corporate partners, family offices, angel networks, and mission-aligned investors; creates capital engagement packages; manages investor relationships, reporting, and impact storytelling; collaborates across ventures; and maintains a pipeline of capital opportunities, prospects, and pitch materials.

Lead end-to-end delivery of an enterprise data platform program for a federal customer. Responsibilities include managing cost, schedule, scope, quality, risks, staffing, subcontractors, dependencies, contract deliverables, Agile ceremonies, and government stakeholder relationships. The role requires maintaining project plans, dashboards, reports, and program controls while keeping engineering teams unblocked and delivery on track.

Leads product marketing strategy, go-to-market planning, positioning, messaging, market research, competitive analysis, demand generation, sales enablement, and product expansion initiatives. Partners with product, sales, executive, and cross-functional teams to define customer value propositions, develop marketing assets, optimize campaign performance, and support launches. The role also manages strategic projects, customer insights, thought leadership, training content, and partner-facing events.

Develops, deploys, and optimizes GPT-based tools that improve sales productivity. Responsibilities include building custom GPTs, managing an AI roadmap, creating prompts and workflows, driving adoption through training, measuring impact, prioritizing AI use cases, and integrating solutions with operational systems. The role partners across Sales, Operations, Enablement, IT, and Marketing to reduce manual work and improve revenue-generating capacity.

Build and modernize identity and access management capabilities, including SSO, MFA, federation, provisioning, and lifecycle integrations. Lead migrations to platforms such as Okta, manage identity infrastructure with Terraform, develop secure APIs and services, integrate controls into CI/CD pipelines, troubleshoot production authentication issues, and establish reusable identity architecture patterns. The role also involves technical design, documentation, code reviews, mentoring, and collaboration with security, compliance, and engineering teams in a regulated healthcare environment.

Designs and stewards enterprise ETL/ELT pipelines, lakehouse, warehouse, and data models using Microsoft Fabric, SQL, and Python. Establishes data quality, testing, lineage, security, governance, DataOps, CI/CD, and performance optimization practices. Uses AI coding and agentic tools for development while reviewing outputs rigorously. Partners with stakeholders to shape requirements, leads complex initiatives, mentors engineers, and collaborates with analysts, data scientists, and BI teams to deliver reliable data products.

Own technical evaluations, deployments, and production integrations for major government and enterprise customers. Build Python, SQL, agents, tools, and REST integrations within customer environments; lead proofs of concept, deployments, executive briefings, and technical account relationships. Triage bespoke versus reusable capabilities, influence the product roadmap, and review other engineers’ work. The role requires strong cloud, containerization, data, communication, and ambiguous problem-solving skills.

Own complex enterprise sales into Fortune 2000 commercial and financial services accounts across North America. Responsibilities include building pipeline, achieving revenue targets, managing multistakeholder sales cycles, negotiating transactions, maintaining Salesforce forecasts, and communicating Sayari’s AI and data-provenance capabilities to compliance, risk, technology, and AI buyers. The role requires enterprise software or data sales experience, consistent quota performance, and approximately 30% travel.

Own complex enterprise sales across North American Fortune 2000 accounts, from pipeline development through procurement, security review, legal, negotiation, and close. Meet revenue targets, build territory plans, maintain Salesforce data, forecast accurately, and communicate Sayari’s AI, data provenance, compliance, and risk solutions to executive buyers. Provide market and customer feedback to Sales, Product, and Marketing. Travel up to 25%.