Top Remote Jobs in Philadelphia, PA

Reviews and analyzes commercial insurance submissions, quote revisions, bind reviews, endorsements, and policy updates within delegated authority. Communicates with underwriters, agency partners, and internal teams; verifies business information; identifies risk concerns; requests additional details; and supports accurate, timely policy processing. Maintains knowledge of workers’ compensation and commercial auto coverage, forms, ratings, and manuals while managing high-volume work across multiple states.

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Coordinates field, event, and partner marketing programs, including trade shows, conferences, webinars, regional events, sponsorships, and co-marketing campaigns. Manages stakeholders, vendors, venues, budgets, logistics, communications, and on-site execution. Supports marketing reporting and metrics covering registrations, attendance, campaigns, and events while collaborating with sales, finance, legal, and external partners.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

The Staff Accountant supports month-end close for multiple entities by preparing journal entries, recording accruals, reconciling balance sheet and bank accounts, and analyzing income statement variances against budget and forecasts. The role also supports audits, tax documentation, GAAP compliance, and ad hoc analysis while cross-training in prepaids and fixed assets.

Own the post-sale customer lifecycle for a portfolio of B2B SaaS customers, including onboarding, adoption, retention, expansion, and churn mitigation. Build trusted relationships with Operations and Finance stakeholders, provide purchasing and payments guidance, drive revenue and net retention, monitor support risks, and translate customer feedback into product improvements. Collaborate cross-functionally to identify strategic opportunities and strengthen customer advocacy.

Develops revenue opportunities for the Lottery business by building financial cases, defining success metrics, coordinating cross-functional plans, and evaluating performance. Serves as a key partner contact, aligns stakeholders, manages launch-readiness dependencies, and communicates data-driven recommendations. Requires strong quantitative modeling, testing, data integrity, and business planning skills.