Ensora Health

Full-stack Engineer

• Build end‑to‑end AI features, spanning backend services and modern, user‑friendly frontend experiences
• Develop reusable UI components that expose AI agents and allow them to be easily integrated into multiple products
• Partner closely with AI engineers to translate agent workflows into real‑world customer experiences
• Contribute to a scalable AI platform where features can be built once and reused across diverse use cases
• Ensure performance, usability, and reliability as AI adoption and product complexity continue to grow
• Participate in code reviews, architectural discussions, and continuous improvement of engineering practices

Full Stack Engineer

SDET

• Architect and scale automation frameworks: Design, implement, and maintain scalable test automation frameworks using PHP, C#, .NET, and Playwright.
• Champion AI‑driven quality practices: Lead adoption of AI tools (e.g., Azure OpenAI, GitHub Copilot, Testim) to enhance test generation, test prioritization, risk identification, and defect detection.
• Embed AI‑assisted testing into delivery: Integrate AI‑assisted testing into CI/CD pipelines using Azure DevOps and GitHub Actions to improve repeatability, speed, and signal quality.
• Partner for quality-by-design: Collaborate with developers to ensure testability is built into architecture and implementation; advocate for shift‑left quality practices.
• Expand coverage beyond functional testing: Build and maintain frameworks and pipelines for integration, behavioral, stress, and performance testing; conduct performance, load, and security testing using both traditional and AI‑enhanced approaches.
• Operate in cloud‑native environments: Work within AWS, Docker, Kubernetes, and MCP servers to validate reliability in distributed systems.
• Lead within agile teams: Serve as the testing strategy owner within an embedded agile team—driving test automation requirements for each iteration and release.
• Mentor and elevate the team: Mentor junior SDETs and influence quality engineering standards (coding standards, framework improvements, best practices, and quality metrics).
• Improve efficiency and innovation: Continually evaluate test automation strategy and identify areas to improve stability, execution time, maintainability, and coverage.
• Hands‑on QE lifecycle ownership: Drive QE processes from requirements analysis and test design through implementation, execution, maintenance, and analysis.

SDET – Payments, Telehealth

Account Executive

• Own and grow a defined territory by driving consistent outbound prospecting across calls, email, video, and social channels
• Qualify inbound and outbound leads and convert them into a healthy, predictable pipeline
• Conduct discovery calls and product demonstrations that connect Fusion’s EHR and practice management capabilities to the real‑world needs of pediatric therapy practices
• Navigate complex healthcare buying cycles, including multiple stakeholders and compliance considerations
• Negotiate pricing and contract terms while balancing customer value and company objectives
• Maintain accurate opportunity, pipeline, and forecast data in Salesforce
• Use AI‑powered tools (e.g., CRM insights, conversation intelligence, sales enablement platforms) to personalize outreach, improve deal execution, and increase productivity
• Represent Ensora Health and Fusion at industry conferences, webinars, and events focused on pediatric and behavioral health
• Collaborate closely with Marketing, Sales Development, and Customer Success to drive long‑term customer value

• Design, build, and maintain robust automated tests for backend services, APIs, and AI‑enabled systems
• Validate end‑to‑end AI workflows, including data inputs, retrieval logic, and generated outputs
• Test RAG systems by verifying source data quality, retrieval accuracy, and response correctness
• Perform data verification to ensure the accuracy of summarized, derived, and feature‑level data used by AI systems
• Validate AI behavior for consistency, edge cases, regressions, and failure scenarios
• Identify data anomalies, drift, and pipeline issues impacting AI outputs and collaborate on resolution
• Integrate automated tests into CI/CD pipelines and contribute to quality metrics and reporting
• Support performance, reliability, and scalability testing for AI‑driven services

AI SDET

Product Marketing

• Support the development and execution of product marketing strategy, positioning, and messaging for assigned products and services, leveraging AI and analytics to inform decisions.
• Partner with Product, Sales, Marketing, and Customer‑facing teams to align messaging with customer needs, market trends, and business objectives.
• Contribute to the creation of value propositions, messaging frameworks, and competitive differentiation, using AI‑assisted research and synthesis where appropriate.
• Assist with the development of customer‑facing content—including website copy, landing pages, in‑app messaging, and product communications—using AI tools to increase efficiency, consistency, and quality.
• Support Sales and Customer‑facing teams by creating enablement materials, training content, and buyer insights, incorporating AI‑driven analysis of customer behavior and feedback.
• Participate in planning and execution of marketing initiatives such as campaigns, webinars, product updates, and launches, experimenting with AI to optimize reach and engagement.
• Analyze market data, customer feedback, and product performance using both traditional methods and AI‑enabled insights to surface recommendations.
• Collaborate cross‑functionally to support coordinated, scalable, and data‑informed product launches.

Product Marketing Manager

Performance Marketing

• Own marketing-sourced pipeline and new logo revenue targets, with direct accountability for performance.
• Build and scale full-funnel demand programs across paid media, organic channels, content, webinars, and events—partnering closely with the paid media team on execution while owning overall demand strategy.
• Apply AI-powered tools to accelerate campaign development, audience insights, personalization, testing, and optimization.
• Develop sophisticated audience segmentation by practice size, specialty, geography, and real-time buying signals.
• Design, operate, and continuously optimize the lead-to-opportunity funnel, including landing pages, lead capture, nurture programs, scoring models, and MQL-to-SQL handoff.
• Use AI-assisted experimentation to test creative, messaging, CTAs, landing pages, email sequences, and timing across every stage of the funnel.
• Partner with Product Marketing to translate positioning into high-performing campaign messaging that resonates with therapists and practice owners.
• Collaborate with Sales and RevOps to ensure clean attribution, accurate routing, and reporting that clearly ties programs to revenue outcomes.
• Manage the demand generation budget with a performance-first mindset—allocating spend based on data, not habit.
• Continuously evaluate emerging AI and marketing technologies to improve efficiency, scale, and impact.

Demand Generation Manager

Technical Product Manager

• Own, prioritize, and refine the product backlog to ensure alignment with business goals, technical strategy, and stakeholder priorities.
• Write clear, actionable user stories and acceptance criteria, including those requiring AI, APIs, integrations, and cloud‑based services.
• Serve as the primary liaison between product management, engineering, and business stakeholders—translating product vision into technical plans and technical constraints into business‑level insights.
• Collaborate closely with AI/ML engineers and data science teams to scope AI-driven features and evaluate feasibility.
• Participate in all Agile ceremonies, including sprint planning, backlog refinement, retrospectives, and demos, helping ensure consistent delivery of high‑value increments.
• Define and uphold the “definition of done,” validating that delivered features meet quality, performance, and functional expectations.
• Identify, prioritize, and champion resolution of technical debt and architectural enablers.
• Oversee creation and maintenance of technical documentation, such as API guides, system workflows, and integration specifications.
• Recommend ongoing improvements to product workflows, team processes, and technical practices—especially around AI development, deployment, and evaluation.

Technical Product Owner

Accountant

• Own Expense Accounting: Manage monthly expense recognition for assigned brand(s), including proper classification, accruals, and deferrals, using system controls and automation to ensure accuracy and consistency.
• Ensure GAAP Compliance: Record expenses in the appropriate accounting period in compliance with U.S. GAAP, applying sound judgment and data validation practices.
• Manage Fixed Assets & Intangibles: Record fixed asset capitalization, depreciation, and amortization of intangible assets, leveraging accounting system workflows to streamline processes.
• Reconcile Intercompany Activity: Balance and reconcile intercompany accounts monthly, identifying discrepancies and using data analysis to drive timely resolution.
• Prepare Journal Entries: Prepare and post general ledger journal entries with clear, complete supporting documentation, ensuring audit readiness and transparency.
• Perform Account Reconciliations: Complete balance sheet reconciliations for prepaids, accrued expenses, accounts payable, credit cards, intercompany, fixed assets, and intangible assets, using reconciliations as a diagnostic tool to surface trends and risks.
• Analyze Expense Variances: Perform period‑over‑period expense analysis and provide clear, logical explanations for fluctuations, using data and reporting tools to generate actionable insights.
• Support Reporting & Analysis: Maintain accurate financial records and provide detailed support for ad hoc analysis, management reporting, and business decision‑making.
• Support Audit & Special Projects: Assist with the annual audit by preparing schedules and responding to auditor inquiries; participate in special projects that improve processes, systems, or scalability.
• Contribute to Continuous Improvement: Partner with peers to enhance accounting workflows, including the thoughtful adoption of automation, AI‑enabled tools, and best practices as the business evolves.