Ensora Health

Role Description The Product Owner plays a critical role in shaping and delivering high‑impact product initiatives at Ensora Health. This role leads complex backlog management efforts, partners closely with stakeholders to define product direction, and ensures delivery teams are focused on the highest‑value outcomes. As an individual contributor, this role will help advance product strategy in support of business goals and customer needs. What You’ll Do - Lead requirements definition and backlog prioritization for complex, cross‑functional initiatives. - Partner with business and technical stakeholders to define product vision, roadmaps, and feature sets. - Guide scrum teams through development cycles by providing clear priorities and well‑defined user stories. - Evaluate product performance and delivery outcomes, recommending improvements to product strategy and execution. - Align product initiatives with organizational objectives and evolving customer needs. - Support leadership in defining KPIs and success metrics to measure product delivery and business value. Qualifications - Bachelor’s degree or equivalent practical experience. - 4+ years of experience in product ownership, business analysis, or agile delivery roles. - Demonstrated expertise in backlog management and agile product development practices. - 4+ years of experience partnering with stakeholders on product strategy and prioritization. - Experience working with tools such as JIRA and Azure DevOps (ADO). - Strong mentoring mindset with the ability to support the growth of peers. - Excellent critical thinking, collaboration, and stakeholder alignment skills. Additional Information While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. Company Description At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. - We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business. - We strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. - We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Ensora Health is an equal opportunity employer.

• Proactively engage with customers to understand their goals, challenges, and success criteria, offering solutions aligned to their business needs. • Partner closely with cross-functional teams to advocate for customer needs and influence outcomes. • Serve as a key point of contact for customer inquiries, ensuring timely, thoughtful, and effective support. • Design and execute customer success strategies that drive adoption, satisfaction, and long-term value. • Monitor customer health and contribute to renewal and retention efforts. • Stay current on industry trends, best practices, and relevant technology advancements. • Ensure all customer engagements align with company policies, standards, and values. • Mentor and support junior team members by reviewing customer strategies and sharing best practices.

Role Description We are looking for a motivated AI/ML Intern to join Ensora Health’s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you’ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers. Qualifications - Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience). - Juniors and Seniors preferred. Requirements - Must be a current college student in undergrad (junior or senior) or grad school. - Close proximity to Orlando, FL. What You’ll Do - Research & exploration: Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex. - Prototype development: Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems. - Data preparation: Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases. - Testing & quality assurance: Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability. - Documentation & collaboration: Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams. - Performance evaluation & reporting: Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports. Examples of projects you may work on during the 10‑week internship: - Developing a functional AI agent prototype to streamline internal workflows and knowledge access. - Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval. - Implementing a document analysis pipeline to extract structured data from healthcare documents. - Delivering prototypes, documentation, and performance reports for assigned AI use cases. Nice‑to‑have experience - Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks. - Experience with vector databases and RAG patterns. - Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI. Mindset & soft skills - Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques. - Comfort working with data, running experiments, and iterating based on results. - Ability to document work clearly, collaborate with others, and ask thoughtful questions. - Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA). Additional Information While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. Company Description At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Ensora Health is an equal opportunity employer.

Role Description We’re seeking a Software Engineer with strong object-oriented programming experience (PHP preferred, but open to other OOP languages) and a thoughtful interest in how AI can enhance modern software development. In this role, you’ll take ownership of meaningful features and components, contribute across the full development lifecycle, and collaborate closely with senior engineers to build scalable, secure, and maintainable systems. This is an opportunity for an engineer who enjoys solving moderately complex problems, writing high-quality code, and using AI-assisted tools to work more efficiently—while maintaining strong engineering judgment, reliability, and security standards. What You’ll Do - Design, build, and maintain small-to-medium features and services using object-oriented design principles (PHP preferred; experience in Java, C#, Python, Ruby, or similar is welcome). - Own technical implementation for assigned work, from design through deployment, with limited oversight. - Use AI-assisted development tools (such as GitHub Copilot, Cursor, Claude, or similar) to improve productivity, accelerate debugging, and support test creation—while validating outputs and ensuring quality. - Design reusable, testable components that align with existing architecture, interfaces, and coding standards. - Diagnose and resolve non-trivial bugs and performance issues; leverage logs, metrics, and traces to identify root causes. - Contribute meaningfully to automated testing efforts, including unit and integration tests, and help improve overall test coverage. - Participate actively in code reviews, providing constructive feedback and mentoring junior engineers when appropriate. - Apply secure coding practices and proactively address common web and application security risks. - Collaborate with product managers, designers, and engineers during sprint planning, estimation, and backlog refinement. - Maintain and improve technical documentation, using AI tools to assist with clarity, accuracy, and ongoing updates. - Stay current on emerging engineering and AI-assisted development practices and share effective techniques with the team. Qualifications - 4+ years of professional software development experience in an object-oriented language (PHP preferred). - Strong understanding of OOP principles, design patterns, and clean code practices. - Experience working in a Linux-based development environment. - Proficiency with JavaScript, HTML, and CSS3. - Solid experience with relational databases and SQL/MySQL. - Working understanding of system architecture concepts, debugging strategies, and observability fundamentals (logs, metrics, tracing). - Demonstrated commitment to code quality, testing, and maintainable design. - Practical experience using (or strong interest in) AI tools for coding, debugging, testing, or documentation in a responsible way. Requirements - Experience with Docker or containerized environments. - Exposure to AWS or other cloud platforms. - Experience using AI to improve engineering workflows (e.g., repeatable prompts, test generation, or faster root-cause analysis). Benefits - All your information will be kept confidential according to EEO guidelines. - We celebrate what makes us unique, foster an ecosystem of inclusion for all, and harness our talents to promote diversity of thought and action in everything we do. - We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business. - We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Company Description Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.

• 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

• 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

• 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

• 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.

• 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.

• 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.