Top Remote Jobs in Cleveland, OH

Leads commissioning, operational readiness, turnover, and deployment of data center projects from construction completion through operational acceptance. Coordinates construction, engineering, operations, vendors, and commissioning agents; manages testing, documentation, schedules, risks, cutovers, deficiencies, equipment startup, and handoff. The role supports infrastructure migrations and active-environment deployments while protecting safety, reliability, and continuity of operations.

Lead mechanical design for large-scale data centers, develop standards and Basis of Design, manage consultants, specify and qualify equipment, ensure code compliance, perform site visits, research cooling technologies, and improve cost, quality, and schedule across projects.

Design and support mechanical and piping systems for hyperscale data centers from concept through construction. Maintain design standards, coordinate with consultants, vendors, AHJs and construction teams, perform site visits, support permitting, and drive cost, quality, and schedule improvements.

The Senior Director of Finance will advise executive leadership on planning, investments, growth, and organizational priorities. Responsibilities include owning budgeting, forecasting, long-range planning, financial modeling, performance reporting, revenue and commercial analytics, and board or investor reporting. The role oversees the Controller and Finance team, strengthens financial controls and order-to-revenue processes, improves systems and automation, and partners with Sales on forecasting, pricing, pipeline, retention, and churn analysis. This fully remote position includes quarterly leadership offsite travel.

Lead AI engagements, shaping strategy and architecture. Engage with various stakeholders, design AI operating models, and facilitate workshops. Drive expansion opportunities and contribute to internal frameworks.

Build and ship production-quality LLM applications, cloud-native systems, backend services, and business automations within client environments. Own assigned workstreams, translate ambiguous problems into deliverables, contribute to architecture and discovery sessions, communicate with technical and business stakeholders, identify risks, document solutions, and transfer working capabilities. Depending on specialization, support engineering teams or business functions with AI enablement and workflow automation.

Researches and implements quantum-resistant cryptographic solutions, including NIST-standardized post-quantum algorithms. Assesses enterprise cryptographic systems for quantum vulnerabilities, develops migration and crypto-agility strategies, and integrates quantum-safe security with PKI, TLS, VPNs, cloud platforms, and applications. Performs testing, benchmarking, interoperability validation, and security analysis while producing architecture guidance, inventories, risk assessments, and modernization roadmaps. Collaborates with technical teams and leadership to support organizational post-quantum readiness.

Analyze enterprise vulnerability and exposure data to prioritize real-world cyber risks for NIH. Correlate KEVs, threat intelligence, attack paths, and asset criticality; validate penetration findings; recommend remediation priorities; support RMF/POA&M activities; and produce technical and executive exposure assessments to drive risk-based remediation.

Design and implement automated workflows and integrations to support RMF/A&A and continuous monitoring. Automate evidence collection, control validation, reporting, and dashboards; integrate GRC platforms, vulnerability management, SIEMs, and ticketing systems; collaborate with RMF analysts and ISSOs to improve cybersecurity governance and authorization readiness.

Owns the end-to-end development of cybersecurity vulnerability and exploit prediction models, including problem framing, feature engineering, training, evaluation, deployment, calibration, monitoring, and drift detection. The role addresses extreme class imbalance, hierarchical modeling, cold-start customers, and uncertainty quantification. It also requires explaining model outputs to security executives, publishing methodologies and benchmarks, and partnering with engineering to deploy reliable production systems.

Build and improve distributed data applications powering large-scale audience segmentation and personalized messaging. Own well-scoped features end to end, including design, implementation, testing, deployment, and operation. Collaborate with engineering, product, and design teams while developing expertise in distributed systems, data pipelines, real-time processing, databases, and platform performance.

Lead partner integration messaging and go-to-market for technology integrations. Build launch playbooks, craft content and co-marketing assets, enable partners and internal teams, drive integration adoption, identify case studies, and coordinate with Product, Partnerships, CS, and Marketing to amplify "better together" stories.

The Principal Product Marketing Manager will define AI-focused narratives, lead omnichannel storytelling, and own go-to-market strategies while aligning with senior leadership and cross-functional teams to drive success in product marketing.

Own R&D Finance reporting, forecasting, Anaplan modeling, SaaS margin analytics, Product P&Ls, close activities, software capitalization, cloud cost allocation, and audit support. Lead two Finance analysts and partner with R&D, Accounting, FP&A, Procurement, and Finance Systems. Modernize reporting through automation and responsible AI adoption.

Lead end-to-end, cross-functional programs that define strategy, establish governance and KPIs, align stakeholders, manage risk, and drive measurable business outcomes. Partner with senior leaders, enable adoption, own executive communications, and help build PMO standards and AI-first approaches to improve program delivery.

Lead and grow strategic technology and cloud partnerships to drive partner-sourced revenue and pipeline. Build executive relationships, recruit and enable partners, coordinate cross-functional GTM activities, manage joint pipeline generation, track alliance performance, and influence product and go-to-market strategy. Use AI tools and CRM/partner platforms to optimize engagement, reporting, and partner enablement.

Lead and transform YipitData’s global talent acquisition function, managing approximately seven recruiting professionals. Assess and redesign recruiting processes, establish scalable operating rhythms and metrics, advise senior leaders, improve sourcing and talent pipelines, oversee executive searches, and optimize the ATS, automation, and AI-enabled recruiting technology ecosystem. Drive stakeholder alignment, change adoption, hiring quality, speed, consistency, and continuous improvement.

As a Sales Executive, manage the entire sales process, qualify leads, and close opportunities, focusing on enterprise subscription sales with a strong emphasis on client relationships.

Lead end-to-end development of AI-enabled, full‑stack products and production AI Agent systems. Own architecture, APIs, observability, and deployments; collaborate with product and stakeholders; balance rapid prototyping with scalable engineering; integrate LLMs and agent loops; mentor others and ensure reliability, performance, and customer-focused UX.

Design and implement scalable full-stack solutions using .NET and React. Lead architecture, cloud migration (AWS/Azure), microservices, and API development. Mentor developers, perform code reviews, resolve production issues, manage client interactions, and drive delivery with a focus on performance, security, and multi-tenant SQL Server architectures.

Design, optimize, and scale multi-GPU infrastructure for GenAI/LLM workloads. Perform GPU profiling and benchmarking, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, build GenAI pipelines (fine-tuning, RAG, multi-modal), create IaC templates, and support production deployments and client engagements.

Design and deliver scalable, production-grade machine learning platforms and Python SDKs; architect agentic and multi-agent AI systems; build FastAPI-based APIs; implement CI/CD with Jenkins and GitLab Runners; establish observability with Galileo; mentor MLEs and drive architectural decisions for cloud-native, distributed AI services.

Own budgeting, forecasting, reporting, variance analysis, long-range planning, financial modeling, pricing analysis, and portfolio performance insights for the AccessOne business. Partner with Deal Desk, Customer Success, Product, Finance, and senior leaders to evaluate commercial decisions, improve pricing governance, support strategic initiatives, and strengthen financial processes and reporting.