Top Remote Senior Level Jobs in Philadelphia, PA

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Own the technical product roadmap for a SaaS platform area, driving platform infrastructure, APIs, migrations, security, and scaling. Align Architecture and Engineering with Customer Success, Sales, and other teams; triage operational issues; monitor adoption and performance metrics; act as Product Owner when needed. Use AI tools daily to prototype, analyze data, draft technical specifications, and accelerate discovery while improving Product/Architecture handoffs.

Lead workforce capacity modeling, forecasting, and staffing strategy for Care Team operations. Build tools, dashboards, and processes to align resourcing with growth, support hiring and onboarding timelines, and analyze utilization to drive operational improvements across Care, Product, Marketing, and Finance.

Sell Just Appraised's AI-powered NLP SaaS to local government agencies. Own the full sales cycle from outbound prospecting and discovery to proposals and closing. Manage the sales pipeline in a CRM, collaborate with internal and external stakeholders, drive event engagement, meet sales targets, and contribute to scaling sales strategy. Travel up to twice monthly for client meetings and events.

First commercial hire to define and execute go-to-market: prospect, sell, and close to build pipeline; establish channel partnerships with brokerages, aggregators, and associations; attend conferences; gather market feedback; and partner with founder and engineering on roadmap, messaging, and pricing. Over time build the commercial team and playbook.

Lead configuration, implementation, testing, and ongoing administration of Oracle HCM and related business systems. Act as liaison between business units and IT, evaluate user needs, design solutions, support system operations, ensure data security and integrity, and contribute to process improvement and departmental budgeting.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Lead full-cycle technical recruiting for software and platform roles: build hiring plans, source hard-to-find candidates, manage candidate experience, use data/ATS (Greenhouse) to improve funnels, champion inclusive hiring, represent the brand at events, and partner with People & Culture and engineering/product leaders.

Lead development and execution of CEO external communications and thought leadership. Ghostwrite long-form pieces, manage media relations and pitches, grow CEO LinkedIn presence, and collaborate cross-functionally to align executive messaging with company strategy and key milestones.

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

Lead client relationships and translate goals into integrated B2B marketing campaigns. Manage briefs, timelines, budgets, cross-disciplinary teams, reporting, and commercial administration. Drive client strategy, spot growth opportunities, support QBRs, and mentor junior team members to ensure high-quality delivery and profitable outcomes.