Top Remote Senior Level Jobs in Philadelphia, PA

Leads the InCommand Operations team supporting data center customers and sites. Responsibilities include managing and developing engineers, maintaining operating standards, leading customer and site implementations, building and validating facility data, using AI and automation for data workflows, supporting platform users, producing reports, coordinating with development teams, documenting defects, and testing releases. Requires data center experience, people management, project leadership, SCADA and construction-document knowledge, strong data skills, and customer communication abilities.

Run Agent Operations for Luna, an AI assistant embedded in Microsoft Dynamics 365 Business Central. Monitor agent quality, telemetry, escalations, adoption, and task completion; maintain knowledge and training; support customer configuration and enablement; and translate findings into product, documentation, and workflow improvements. Partner across Customer Success, Product, Development, and Implementation while supporting APIs, integrations, agent interoperability, and AI-assisted customer success operations.

Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.

Manages commercial agency relationships across a Midwest territory to grow GEICO revenue and profitability. Responsibilities include recruiting and onboarding agencies, managing 120–150 accounts, delivering training, monitoring performance, developing sales strategies, analyzing territory opportunities, sharing competitive intelligence, and reporting sales plans and results to leadership. The role requires commercial insurance knowledge, sales experience, strong organization, conflict resolution, communication skills, a valid driver’s license, and 40%–50% overnight travel.

The Senior QA Engineer will design and execute testing strategies for reporting systems, data extracts, and business intelligence outputs. Responsibilities include writing and reviewing complex SQL, tracing data lineage across source systems and ETL pipelines, validating calculations and metrics, investigating discrepancies, documenting defects, and maintaining test documentation and version-controlled scripts. The role collaborates with data engineers, reporting teams, and business stakeholders to improve data quality and ensure accurate, reliable reporting.

Lead research into novel AI architectures, learning algorithms, reasoning, knowledge representation, and evaluation methodologies. Define and execute ambitious research programs, design experiments, develop large-scale content evaluation systems, mentor research engineers, and communicate findings through technical publications. The role combines scientific leadership with hands-on innovation focused on language models, factuality, evidence quality, source reliability, and trustworthy AI systems.

Leads a team of forward-deployed AI engineers delivering production solutions for business functions. Owns AI use-case prioritization, technical quality, governance reviews, champion-network enablement, stakeholder partnerships, and team development. Directs solutions from design through deployment, ensures testing and security standards, coordinates Legal, Privacy, Information Security, and Procurement reviews, and promotes AI adoption through training and ongoing support.

Build and grow relationships with institutional retirement advisors and consulting firms, generate business opportunities, achieve revenue targets, and align retirement solutions with client needs. Partner with internal teams on proposals, presentations, and client meetings; communicate company capabilities at industry events; maintain CRM records, sales forecasts, and compliance documentation. The role is fully remote with up to 50% travel.

Own and improve indirect government rate processes across two legal entities, ensuring accurate, defensible, and audit-ready cost submissions. Partner with Finance, HR, Operations, auditors, consultants, and government agencies on compliance, controls, and continuous improvement. Apply government cost accounting expertise and regulations including FAR and CAS, while developing financial models and analyzing complex datasets using Excel and ERP systems.

Shape company-wide machine learning strategy across credit, fraud, marketing, and growth. Build and improve consumer credit models, establish model governance and responsible modeling controls, and advance experimentation, causal inference, and business measurement. Provide technical leadership, mentor scientists, evaluate AI-assisted workflows, and partner with Legal, Compliance, Risk, Engineering, Product, and Finance to support reliable, compliant, and impactful financial decision systems.