Top Remote Jobs in Dayton, OH

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Own the architecture, technical direction, reliability, and evolution of a shared cloud data platform. Lead hands-on development of streaming and batch pipelines using infrastructure-as-code, build governed analytical data products, and establish data contracts, quality, security, lineage, and observability standards. Serve as the final technical escalation point, mentor engineers, lead design and code reviews, promote responsible AI-assisted coding, respond to incidents, and communicate technical tradeoffs across stakeholders.

Drive inbound enrollment sales by consulting with students and parents, recommending education programs, managing prospects through enrollment, following up strategically, and closing high-value packages. Maintain the full sales cycle in HubSpot, forecast revenue, meet sales targets, test conversion strategies, monitor market trends, collaborate with marketing, counseling, finance, and support onboarding and customer success for newly enrolled students.

Own end-to-end demand generation through content strategy, editorial planning, newsletters, webinars, executive thought leadership, earned media, lifecycle marketing, and brand building. Create and repurpose content across channels, manage HubSpot nurture programs, measure performance, support acquired brands, and build community relationships. The role partners with sales, executives, subject matter experts, and accessibility resources while developing scalable marketing systems for complex, regulated B2B audiences.

Lead GTM analytics and revenue operations by analyzing campaign, funnel, pipeline, and attribution performance; building dashboards; optimizing marketing technology and data quality; improving lead management, routing, scoring, and sales handoffs; and establishing scalable workflows and governance. The role partners cross-functionally with Marketing, Sales, Finance, Product, and Customer Success to support forecasting, planning, leadership reporting, and data-driven revenue growth.

Leads commercial planning, forecasting, sales operating rhythms, KPI reporting, customer planning, and performance management across Sales, Supply Chain, and Finance. Builds scalable systems, dashboards, workflows, and retailer and broker tools; supports budgeting, scenario modeling, inventory readiness, go-to-market planning, and commercialization. Manages the Sales Operations team, drives broker accountability, leads strategic operational initiatives, and provides executive reporting and recommendations for scalable CPG growth.

Conduct novel research in Protocol Learning, focusing on decentralized large-model training and inference across consumer devices. Develop foundational methods addressing communication efficiency, fault tolerance, heterogeneous compute, and malicious participants, with the goal of publishing in tier-1 machine learning venues. Interns own a research problem, leverage significant compute, and receive mentorship from senior scientists during a six-month PhD internship.

Owns Azure cloud infrastructure, Kubernetes, DevOps, infrastructure-as-code, CI/CD, GitOps, secrets management, databases, data warehouses, observability, and reliability. Leads AI-assisted infrastructure engineering standards and practices, manages and mentors engineers and engineering managers, contributes hands-on to architecture, coding, incident response, and platform improvements, and partners with Security and Corporate IT.

Manages Content team workflows, project requests, webinar logistics, vendor relationships, employee onboarding, shared inboxes, support tickets, and process documentation. Tracks projects in Monday.com, coordinates stakeholders, maintains employee marketing profiles, and identifies opportunities to improve processes through automation, AI, and technology. Supports marketing operations and special projects while ensuring requests are prioritized, completed accurately, and delivered on time.

Lead product strategy for Kard’s data and internal developer platforms across data, ML, analytics, engineering enablement, and infrastructure teams. Translate transaction data and platform capabilities into customer and commercial value through personalization, targeting, measurement, decisioning, and partner integrations. Define reusable platform capabilities, improve self-service and reliability, shape cross-functional bets, align stakeholders, and coach product leaders while balancing scale, security, privacy, compliance, and business impact.