Top Remote Entry Level Jobs in Philadelphia, PA

Research and identify technical candidates using sourcing tools, build diverse talent pipelines, conduct personalized outreach and initial screens, research markets and companies, test sourcing strategies, and collaborate with recruiters. The role requires strong research, communication, organization, basic understanding of technical roles, and independent remote work. It is a six-month independent contractor position with potential extension or conversion.

Own post-sales customer outcomes for a technical SaaS platform. Lead onboarding, architecture workshops, integrations, success planning, adoption, business reviews, renewals, and expansion. Build relationships with executives, platform engineers, and DevOps teams while providing credible guidance on Kubernetes, RBAC, tenant isolation, and cloud infrastructure. Identify risks and growth opportunities, articulate business value, and advocate for customer needs internally.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Serverfarm is building a talent community for future opportunities across data center operations, electrical engineering, construction, and corporate functions. Candidates can submit their information to be considered for relevant roles as they become available. The company will retain applicants’ details and contact them about positions matching their skills and interests.

Own Avon AI’s US go-to-market motion, including enterprise prospecting, discovery, demos, pilots, negotiations, forecasting, and closing deals with regulated organizations. Build demand through outbound campaigns, events, webinars, partners, and resellers. Develop the sales process, messaging, qualification framework, and playbook while helping recruit the future US sales and marketing team. Collaborate closely with founders and product teams, translating customer and market feedback into product direction.

Build and maintain evergreen technical talent pipelines for data engineering, machine learning, and full-stack roles. Source and engage candidates, coordinate with sales, delivery, engineering, and hiring leaders, define technical assessments, manage full-cycle recruiting, optimize sourcing and conversion metrics, and maintain candidate readiness for rapid deployment. This is a 3–6 month contract engagement at approximately 40 hours per week.

Drive strategic growth across complex OEM accounts by expanding customer relationships, identifying new opportunities, developing account strategies, and translating customer needs into scalable solutions. Build executive-level relationships, influence product and business strategy, and coordinate with engineering, operations, product management, and program teams. The role requires consultative selling, account planning, pipeline development, strong business acumen, CRM usage, and travel of up to 50%.

Build and manage relationships with state correctional agencies and justice-system stakeholders. Understand partner needs, adapt product offerings and data analysis, communicate requirements to cross-functional teams, and drive measurable impact and financial sustainability. The role requires frequent travel to meet state officials and visit prisons and parole offices, along with navigating challenging environments and supporting technology-enabled change.

Lead the strategy and execution of customer experience and engagement programs, improving onboarding, retention, satisfaction, loyalty, community participation, and advocacy. Analyze customer feedback and engagement metrics, collaborate with marketing, product, and operations, and manage a customer engagement team. The role also establishes customer programs, provides insights for company strategy, and improves visibility into customer sentiment and KPIs.

Build predictive and machine learning models for patient needs, operational forecasting, churn, advocate quality, and risk. Design A/B tests and causal inference studies, apply advanced statistical methods, productionize models with data engineers, and communicate insights to business stakeholders. The role requires Python, advanced SQL, forecasting expertise, statistical proficiency, data privacy awareness, and the ability to work independently in a fast-paced healthcare startup.