Jobs at Ensora Health

Supports customer implementations of revenue cycle management solutions by configuring billing rules, payer setup, and claim workflows. Partners with customers to understand workflows, troubleshoots system issues, validates claims, documents configurations, monitors milestones, and supports project deliverables. The role also identifies process improvements and uses analytics, automation, and AI-enabled tools to improve implementation efficiency and customer outcomes.

Serve as a technical advisor throughout the sales cycle for rehabilitation software. Deliver customized demonstrations, design solutions, advise on clinical and revenue cycle workflows, develop technical proposals and ROI recommendations, and collaborate with Sales, Product, Engineering, and Customer Success. Apply AI capabilities to improve customer outcomes and support strategic opportunities. Requires healthcare technology and RCM expertise, strong consultative communication, and willingness to travel.

Develop and maintain PHP-preferred software features and services using object-oriented design. Own implementations from design through deployment, troubleshoot bugs and performance issues, write unit and integration tests, apply secure coding practices, participate in code reviews, collaborate across product and engineering teams, and use AI-assisted development tools responsibly.

Own the end-to-end lifecycle of assigned products and features, including discovery, roadmap development, delivery, optimization, and product strategy. Conduct customer research, analyze market and performance data, prioritize investments, define requirements, and collaborate with engineering, design, marketing, and business stakeholders. Drive innovation, continuous improvement, customer value, and measurable business outcomes.

Owns strategy and execution for B2B demand generation and new-logo acquisition. Builds full-funnel campaigns across paid, organic, content, webinars, and events; manages lead capture, nurture, scoring, attribution, and MQL-to-SQL processes. Uses AI-enabled tools for segmentation, personalization, experimentation, and optimization. Partners with Sales, Product Marketing, Content, and RevOps while managing budget and accountability for pipeline, revenue, conversion, and acquisition efficiency.