JD for Exp =1-3 Years ( Manual + Automation) We are seeking a skilled and dedicated QA Engineer with 1-3 years of experience in both manual and automation testing, specifically in the health care domain. The ideal candidate will have expertise in Selenium and Appium to ensure the quality and reliability of our health care software products. Responsibilities: Manual Testing: Develop and execute comprehensive manual test plans based on project requirements. Conduct thorough testing of health care software applications to identify and document defects. Collaborate with cross-functional teams to understand business requirements and user scenarios. Automation Testing: Develop and maintain automated test scripts using Selenium and Appium. Execute automated test scripts for web and mobile applications in the health care domain. Work closely with development and product teams to ensure automation coverage aligns with project goals. Health Care Domain Expertise: Apply knowledge of health care industry standards and regulations to ensure compliance. Collaborate with stakeholders to understand and validate health care-specific workflows and functionalities. Issue Tracking and Reporting: Identify, document, and track software defects, providing detailed information to facilitate resolution. Generate comprehensive test reports and communicate findings to relevant teams. Continuous Improvement: Contribute to the enhancement of testing processes, tools, and methodologies. Stay abreast of industry trends and incorporate best practices into the QA process. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 1-3 years of experience in both manual and automation testing. Strong expertise in Selenium and Appium for web and mobile application testing. Experience in the health care domain, with knowledge of industry standards and regulations. Solid understanding of software testing principles and methodologies. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with testing frameworks such as TestNG or JUnit. Familiarity with behavior-driven development (BDD) tools like Cucumber. Knowledge of API testing using tools like Postman or RestAssured. Familiarity with performance testing tools and methodologies. If you are a motivated and detail-oriented QA Engineer with a passion for ensuring the quality of health care software applications, we encourage you to apply. Join our dynamic team and contribute to the delivery of high-quality solutions in the health care sector.
About the Role We are seeking an experienced Power BI Developer with strong expertise in data modeling, DAX, and healthcare analytics . The role involves designing and delivering advanced healthcare data dashboards with complex modeling, optimized performance, and integration with cloud data platforms like Google BigQuery . The ideal candidate should be highly skilled in point-in-time analysis, incremental refresh, drill-through, custom visualizations , and have strong debugging skills in DAX . Experience in DirectQuery and Import modes is essential. Key Responsibilities Design, develop, and deploy Power BI dashboards and reports for healthcare analytics use cases. Build and optimize data models (Fact/Dimension, Star/Snowflake schemas) for performance and scalability. Write and debug advanced DAX measures , ensuring accuracy and efficiency. Implement incremental refresh strategies for large and evolving datasets. Create point-in-time historical dashboards for patient trends, outcomes, and longitudinal analysis. Develop interactive features such as Drill-through, Drill-down, Bookmarks, Data export and Tooltips . Build custom visualizations using Power BI visuals, marketplace visuals, or custom scripting. Work with both DirectQuery and Import mode , optimizing performance based on data size and use case. Integrate data from Google BigQuery, SQL Server, Azure, AWS, and other healthcare data sources . Collaborate with clinical, operational, and technical teams to translate requirements into actionable BI solutions . Ensure data quality, HIPAA compliance, and governance in all reporting solutions. Requirements Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or related field. 5+ years of experience in BI/reporting with proven expertise in Power BI . Strong knowledge of DAX, Power Query (M language) , with debugging and performance optimization skills . Expertise in DirectQuery and Import methods and when to apply each. Hands-on experience with Google BigQuery and cloud-based data warehouses. Strong SQL skills for data extraction, transformation, and tuning . Experience with incremental refresh and handling healthcare datasets . Ability to design point-in-time dashboards and historical trend analyses. Excellent problem-solving, analytical, and communication skills. Preferred Prior experience in healthcare analytics (payer, provider, or clinical data) . Knowledge of HIPAA and healthcare data governance . Experience with AWS / Azure Data Services. Familiarity with ETL/ELT processes . Knowledge of Python or R for advanced analytics or custom visuals. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge healthcare analytics projects . Exposure to enterprise-scale BI and cloud platforms . Collaborative, innovative, and data-driven workplace.
JD for Exp =1-3 Years ( Manual + Automation) We are seeking a skilled and dedicated QA Engineer with 1-3 years of experience in both manual and automation testing, specifically in the health care domain. The ideal candidate will have expertise in Selenium and Appium to ensure the quality and reliability of our health care software products. Responsibilities: Manual Testing: Develop and execute comprehensive manual test plans based on project requirements. Conduct thorough testing of health care software applications to identify and document defects. Collaborate with cross-functional teams to understand business requirements and user scenarios. Automation Testing: Develop and maintain automated test scripts using Selenium and Appium. Execute automated test scripts for web and mobile applications in the health care domain. Work closely with development and product teams to ensure automation coverage aligns with project goals. Health Care Domain Expertise: Apply knowledge of health care industry standards and regulations to ensure compliance. Collaborate with stakeholders to understand and validate health care-specific workflows and functionalities. Issue Tracking and Reporting: Identify, document, and track software defects, providing detailed information to facilitate resolution. Generate comprehensive test reports and communicate findings to relevant teams. Continuous Improvement: Contribute to the enhancement of testing processes, tools, and methodologies. Stay abreast of industry trends and incorporate best practices into the QA process. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 1-3 years of experience in both manual and automation testing. Strong expertise in Selenium and Appium for web and mobile application testing. Experience in the health care domain, with knowledge of industry standards and regulations. Solid understanding of software testing principles and methodologies. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with testing frameworks such as TestNG or JUnit. Familiarity with behavior-driven development (BDD) tools like Cucumber. Knowledge of API testing using tools like Postman or RestAssured. Familiarity with performance testing tools and methodologies. If you are a motivated and detail-oriented QA Engineer with a passion for ensuring the quality of health care software applications, we encourage you to apply. Join our dynamic team and contribute to the delivery of high-quality solutions in the health care sector.
About the Role We are seeking an experienced Power BI Developer with strong expertise in data modeling, DAX, and healthcare analytics . The role involves designing and delivering advanced healthcare data dashboards with complex modeling, optimized performance, and integration with cloud data platforms like Google BigQuery . The ideal candidate should be highly skilled in point-in-time analysis, incremental refresh, drill-through, custom visualizations , and have strong debugging skills in DAX . Experience in DirectQuery and Import modes is essential. Key Responsibilities Design, develop, and deploy Power BI dashboards and reports for healthcare analytics use cases. Build and optimize data models (Fact/Dimension, Star/Snowflake schemas) for performance and scalability. Write and debug advanced DAX measures , ensuring accuracy and efficiency. Implement incremental refresh strategies for large and evolving datasets. Create point-in-time historical dashboards for patient trends, outcomes, and longitudinal analysis. Develop interactive features such as Drill-through, Drill-down, Bookmarks, Data export and Tooltips . Build custom visualizations using Power BI visuals, marketplace visuals, or custom scripting. Work with both DirectQuery and Import mode , optimizing performance based on data size and use case. Integrate data from Google BigQuery, SQL Server, Azure, AWS, and other healthcare data sources . Collaborate with clinical, operational, and technical teams to translate requirements into actionable BI solutions . Ensure data quality, HIPAA compliance, and governance in all reporting solutions. Requirements Required Skills & Qualifications Bachelors degree in Computer Science, Information Technology, Data Analytics, or related field. 5+ years of experience in BI/reporting with proven expertise in Power BI . Strong knowledge of DAX, Power Query (M language) , with debugging and performance optimization skills . Expertise in DirectQuery and Import methods and when to apply each. Hands-on experience with Google BigQuery and cloud-based data warehouses. Strong SQL skills for data extraction, transformation, and tuning . Experience with incremental refresh and handling healthcare datasets . Ability to design point-in-time dashboards and historical trend analyses. Excellent problem-solving, analytical, and communication skills. Preferred Prior experience in healthcare analytics (payer, provider, or clinical data) . Knowledge of HIPAA and healthcare data governance . Experience with AWS / Azure Data Services. Familiarity with ETL/ELT processes . Knowledge of Python or R for advanced analytics or custom visuals. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge healthcare analytics projects . Exposure to enterprise-scale BI and cloud platforms . Collaborative, innovative, and data-driven workplace. Show more Show less
Design, develop, and deploy Power BI dashboards and reports for healthcare analytics use cases. Build and optimize data models (Fact/Dimension, Star/Snowflake schemas) for performance and scalability. Write and debug advanced DAX measures , ensuring accuracy and efficiency. Implement incremental refresh strategies for large and evolving datasets. Create point-in-time historical dashboards for patient trends, outcomes, and longitudinal analysis. Develop interactive features such as Drill-through, Drill-down, Bookmarks, Data export and Tooltips . Build custom visualizations using Power BI visuals, marketplace visuals, or custom scripting. Work with both DirectQuery and Import mode , optimizing performance based on data size and use case. Integrate data from Google BigQuery, SQL Server, Azure, AWS, and other healthcare data sources . Collaborate with clinical, operational, and technical teams to translate requirements into actionable BI solutions . Ensure data quality, HIPAA compliance, and governance in all reporting solutions. Requirements Required Skills & Qualifications Bachelordegree in Computer Science, Information Technology, Data Analytics, or related field. 5+ years of experience in BI/reporting with proven expertise in Power BI . Strong knowledge of DAX, Power Query (M language) , with debugging and performance optimization skills . Expertise in DirectQuery and Import methods and when to apply each. Hands-on experience with Google BigQuery and cloud-based data warehouses. Strong SQL skills for data extraction, transformation, and tuning . Experience with incremental refresh and handling healthcare datasets . Ability to design point-in-time dashboards and historical trend analyses. Excellent problem-solving, analytical, and communication skills. Preferred Prior experience in healthcare analytics (payer, provider, or clinical data) . Knowledge of HIPAA and healthcare data governance . Experience with AWS /Azure Data Services. Familiarity with ETL/ELT processes . Knowledge of Python or R for advanced analytics or custom visuals.
Responsibilities Design, develop, and maintain scalable and efficient web and mobile applications using ReactJS, React Native, and Node.js. Build and integrate RESTful APIs to support platform functionalities. Collaborate closely with product managers, UX/UI designers, and data teams to deliver high-quality features. Participate in code reviews, unit testing, and debugging to ensure performance and reliability. Implement security and compliance best practices (HIPAA, data privacy) in application development. Optimize application performance, responsiveness, and user experience across web and mobile platforms. Stay updated with emerging web, mobile, and AI technologies, contributing to continuous improvements. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. 3–5 years of professional experience in full-stack development. Strong expertise in ReactJS (web) and React Native (mobile apps). Proficiency in Node.js for backend development. Solid understanding of JavaScript (ES6+), HTML5, CSS3. Hands-on experience with TypeScript for scalable application development. Basic knowledge of Python for scripting, automation, or integrating AI/ML APIs. Experience with databases (PostgreSQL, MySQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Knowledge of API design, authentication, and integrations. Basic knowledge of AI/ML concepts (e.g., NLP, predictive analytics, recommender systems) and ability to integrate AI-powered APIs. Ability to work in an Agile/Scrum environment. Willing to work in Pune ( on site ) and healthcare domain experience is preferable Benefits Build impactful solutions on an AI-powered healthcare platform. Work on meaningful problems in the healthcare industry that directly affect patient lives. Be part of a growing tech-first product company with strong domain expertise. Collaborative work culture with cross-functional teams. Competitive compensation and career growth opportunities.
Job_Description":" Responsibilities Design, develop, and maintain scalable and efficient web and mobile applications using ReactJS, React Native, and Node.js. Build and integrate RESTful APIs to support platform functionalities. Collaborate closely with product managers, UX/UI designers, and data teams to deliver high-quality features. Participate in code reviews, unit testing, and debugging to ensure performance and reliability. Implement security and compliance best practices (HIPAA, data privacy) in application development. Optimize application performance, responsiveness, and user experience across web and mobile platforms. Stay updated with emerging web, mobile, and AI technologies, contributing to continuous improvements. Requirements Bacheloror Masterdegree in Computer Science, Software Engineering, or related field. 35 years of professional experience in full-stack development. Strong expertise in ReactJS (web) and React Native (mobile apps). Proficiency in Node.js for backend development. Solid understanding of JavaScript (ES6+), HTML5, CSS3. Hands-on experience with TypeScript for scalable application development. Basic knowledge of Python for scripting, automation, or integrating AI/ML APIs. Experience with databases (PostgreSQL, MySQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Knowledge of API design, authentication, and integrations. Basic knowledge of AI/ML concepts (e.g., NLP, predictive analytics, recommender systems) and ability to integrate AI-powered APIs. Ability to work in an Agile/Scrum environment. Willing to work in Pune ( on site ) and healthcare domain experience is preferable Benefits Build impactful solutions on an AI-powered healthcare platform. Work on meaningful problems in the healthcare industry that directly affect patient lives. Be part of a growing tech-first product company with strong domain expertise. Collaborative work culture with cross-functional teams. Competitive compensation and career growth opportunities. ","
Design, build, and maintain scalable batch and streaming pipelines using Google Cloud Dataflow, Google Cloud Datastream, Airbyte, and orchestration tools (Airflow/Prefect/Dagster). Develop and optimize ETL/ELT processes across AWS Postgres, Google FHIR Store, and Google BigQuery. Build and maintain unified data models that integrate multiple healthcare data sources (EHR/FHIR, claims/X12, ADT/HL7, CRM, transactional Postgres, Tuva, and third-party APIs). Implement dbt/OBT transformations to create curated semantic layers for AI/LLM, BI, and predictive analytics. Ensure data quality, lineage, validation, and governance while maintaining HIPAA compliance and PHI/PII security. Collaborate with AI/ML engineers, BI developers, and product teams to enable data-driven features, dashboards, and predictive models. Implement monitoring, anomaly detection, and pipeline optimization for performance, reliability, and cost efficiency. Participate in architecture discussions, code reviews, and mentoring, setting best practices for data engineering. Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. 5+ years of hands-on experience in data engineering (cloud-native environments preferred). Strong proficiency in SQL and Python for data engineering workflows. Proven experience with: Google Cloud Dataflow, Datastream, or Airbyte (streaming & ingestion pipelines) AWS Postgres (transactional & analytical use cases) Google FHIR Store (FHIR APIs & EHR ingestion) Google BigQuery (large-scale data warehouse/lakehouse) dbt/OBT for transformations and modeling Experience designing and maintaining unified data models from heterogeneous healthcare data sources. Familiarity with healthcare data standards: HL7, FHIR, X12 EDI (837/835), ICD, SNOMED, ADT, CCD/CCDA. Experience ensuring HIPAA-compliant data handling, governance, and observability. Knowledge of data modeling (star/snowflake schemas) and cloud-native architectures (AWS/GCP). Good to Have Experience with Health care standardization frameworks. Building feature stores for AI/ML pipelines. Familiarity with real-time streaming. Hands-on with Power BI or other BI tools for analytics enablement. Prior work in Value-Based Care, ACOs, MSOs, or population health environments. Ability to mentor junior engineers and establish team-wide best practices. Benefits Build impactful data pipelines powering AI, LLMs, and BI in healthcare. Work on meaningful problems that directly improve patient outcomes and provider efficiency. Be part of a growing tech-first healthcare company with strong domain expertise. Collaborative culture with AI, data, product, and engineering teams. Competitive compensation, benefits, and career growth opportunities.
Role Overview We are looking for a Lead Engineer who will play a key role in designing, building, and scaling Fold Healths healthcare platform. The ideal candidate will be a hands-on technologist with strong leadership skills, capable of guiding engineering teams, setting best practices, and driving the delivery of high-quality, scalable solutions. Responsibilities Technical Leadership Lead design and architecture discussions for scalable, secure, and resilient systems. Define and enforce coding standards, best practices, and technical guidelines. Mentor and coach engineers, fostering a culture of learning and innovation. Product Development Collaborate with product managers, architects, and cross-functional teams to build and deliver end-to-end features. Drive the development of backend microservices, APIs, and frontend applications. Ensure HIPAA and other healthcare compliance in all technology solutions. Innovation & Strategy Evaluate and adopt emerging technologies (AI/ML, healthcare data standards, cloud-native). Contribute to roadmap planning and provide input on technical feasibility and effort estimation. Lead proof-of-concept (POC) initiatives for new product features and integrations. Quality & Performance Ensure performance, scalability, and reliability of applications across web and mobile platforms. Oversee CI/CD pipelines, automated testing, and code review processes. Monitor and optimize application and infrastructure performance. Requirements Requirements Bachelors/Masters degree in Computer Science, Engineering, or related field. 1015 years of hands-on engineering experience, with at least 3+ years in a lead/architect role. Strong expertise in Node.js (NestJS), ReactJS, React Native, Python (preferred), and TypeScript. Experience with cloud platforms (AWS, GCP) and containerized environments (Docker, Kubernetes). Solid knowledge of PostgreSQL, data pipelines, and healthcare data (EHR, claims, ADT, FHIR standards). Familiarity with AI/ML integration and building data-driven applications. Experience with HIPAA, security best practices, and compliance in healthcare systems. Strong problem-solving, system design, and communication skills. Proven track record of mentoring teams and delivering complex products in a startup or fast-paced environment. Good to Have Experience with healthcare integrations (Elation, Athena, eCW, HIE, claims pipelines). Familiarity with Twilio Programable SMS and Voice calls, Mailgun - emails, wearable data APIs. Exposure to BI/reporting tools (PowerBI, BigQuery). Prior experience in Value-Based Care (VBC) programs or healthcare startups. Show more Show less
Overview : We are seeking a skilled and dedicated QA Engineer with 1-3 years of experience in both manual and automation testing, specifically in the health care domain. The ideal candidate will have expertise in Selenium and Appium to ensure the quality and reliability of our health care software products. Key Responsibilities: Manual Testing: Develop and execute comprehensive manual test plans based on project requirements. Conduct thorough testing of health care software applications to identify and document defects. Collaborate with cross-functional teams to understand business requirements and user scenarios. Automation Testing: Develop and maintain automated test scripts using Selenium and Appium. Execute automated test scripts for web and mobile applications in the health care domain. Work closely with development and product teams to ensure automation coverage aligns with project goals. Health Care Domain Expertise: Apply knowledge of health care industry standards and regulations to ensure compliance. Collaborate with stakeholders to understand and validate health care-specific workflows and functionalities. Issue Tracking and Reporting: Identify, document, and track software defects, providing detailed information to facilitate resolution. Generate comprehensive test reports and communicate findings to relevant teams. Continuous Improvement: Contribute to the enhancement of testing processes, tools, and methodologies. Stay abreast of industry trends and incorporate best practices into the QA process. Requirements: Bachelor&aposs degree in Computer Science, Engineering, or a related field. 1-3 years of experience in both manual and automation testing. Strong expertise in Selenium and Appium for web and mobile application testing. Experience in the health care domain, with knowledge of industry standards and regulations. Solid understanding of software testing principles and methodologies. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with testing frameworks such as TestNG or JUnit. Familiarity with behavior-driven development (BDD) tools like Cucumber. Knowledge of API testing using tools like Postman or RestAssured. Familiarity with performance testing tools and methodologies. Requirements Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 1-3 years of hands-on experience in test automation with a focus on Selenium, Appium, and API testing. Strong programming skills in languages such as Java, Python, or JavaScript. In-depth knowledge of Selenium WebDriver, Appium, and API testing tools and frameworks. Experience in designing and implementing automation frameworks. Solid understanding of SDLC, testing methodologies, and agile practices. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Preferred Skills: Experience with additional automation tools and frameworks. Familiarity with performance testing tools and methodologies. Certification in relevant testing and automation technologies. Show more Show less
Design, build, and maintain scalable batch and streaming pipelines using Google Cloud Dataflow, Google Cloud Datastream, Airbyte, and orchestration tools (Airflow/Prefect/Dagster). Develop and optimize ETL/ELT processes across AWS Postgres, Google FHIR Store, and Google BigQuery. Build and maintain unified data models that integrate multiple healthcare data sources (EHR/FHIR, claims/X12, ADT/HL7, CRM, transactional Postgres, Tuva, and third-party APIs). Implement dbt/OBT transformations to create curated semantic layers for AI/LLM, BI, and predictive analytics. Ensure data quality, lineage, validation, and governance while maintaining HIPAA compliance and PHI/PII security. Collaborate with AI/ML engineers, BI developers, and product teams to enable data-driven features, dashboards, and predictive models. Implement monitoring, anomaly detection, and pipeline optimization for performance, reliability, and cost efficiency. Participate in architecture discussions, code reviews, and mentoring, setting best practices for data engineering. Requirements Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 5+ years of hands-on experience in data engineering (cloud-native environments preferred). Strong proficiency in SQL and Python for data engineering workflows. Proven experience with: Google Cloud Dataflow, Datastream, or Airbyte (streaming & ingestion pipelines) AWS Postgres (transactional & analytical use cases) Google FHIR Store (FHIR APIs & EHR ingestion) Google BigQuery (large-scale data warehouse/lakehouse) dbt/OBT for transformations and modeling Experience designing and maintaining unified data models from heterogeneous healthcare data sources. Familiarity with healthcare data standards: HL7, FHIR, X12 EDI (837/835), ICD, SNOMED, ADT, CCD/CCDA. Experience ensuring HIPAA-compliant data handling, governance, and observability. Knowledge of data modeling (star/snowflake schemas) and cloud-native architectures (AWS/GCP). Good to Have Experience with Health care standardization frameworks. Building feature stores for AI/ML pipelines. Familiarity with real-time streaming. Hands-on with Power BI or other BI tools for analytics enablement. Prior work in Value-Based Care, ACOs, MSOs, or population health environments. Ability to mentor junior engineers and establish team-wide best practices. Benefits Build impactful data pipelines powering AI, LLMs, and BI in healthcare. Work on meaningful problems that directly improve patient outcomes and provider efficiency. Be part of a growing tech-first healthcare company with strong domain expertise. Collaborative culture with AI, data, product, and engineering teams. Competitive compensation, benefits, and career growth opportunities.
JD for reference- Job Title: Full Stack Developer Experience: 4–8 Years Location: Pune (Amar Tech Park, Balewadi, Pune) – Full-time, On-site Domain: Healthcare (Preferred) ________________________________________ About Fold Health Fold Health is building an AI-powered healthcare technology platform designed to support Value-Based Care (VBC) programs. By combining advanced data integration, analytics, and intelligent automation, we help providers, payers, and care teams deliver better outcomes and improve patient experiences. Our mission is to simplify healthcare technology while enabling innovation at scale — join us and be part of shaping the future of AI-driven healthcare. ________________________________________ Responsibilities 1. Design, develop, and maintain scalable and efficient web and mobile applications using ReactJS, React Native, and Node.js. 2. Build and integrate RESTful APIs to support platform functionalities. 3. Collaborate closely with product managers, UX/UI designers, and data teams to deliver high-quality features. 4. Participate in code reviews, unit testing, and debugging to ensure performance and reliability. 5. Implement security and compliance best practices (HIPAA, data privacy) in application development. 6. Optimize application performance, responsiveness, and user experience across web and mobile platforms. 7. Stay updated with emerging web, mobile, and AI technologies, contributing to continuous improvements. ________________________________________ Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. • 3–5 years of professional experience in full-stack development. • Strong expertise in ReactJS (web) and React Native (mobile apps). • Proficiency in Node.js for backend development. • Solid understanding of JavaScript (ES6+), HTML5, CSS3. • Hands-on experience with TypeScript for scalable application development. • Basic knowledge of Python for scripting, automation, or integrating AI/ML APIs. • Experience with databases (PostgreSQL, MySQL, MongoDB). • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). • Knowledge of API design, authentication, and integrations. • Basic knowledge of AI/ML concepts (e.g., NLP, predictive analytics, recommender systems) and ability to integrate AI-powered APIs. • Ability to work in an Agile/Scrum environment. ________________________________________ Good to Have • Experience with CI/CD pipelines (Firebase, GitHub Actions, Jenkins). • Knowledge of FHIR standards, healthcare interoperability, or VBC programs. • Hands-on experience integrating AI/ML models into applications. • Healthcare domain experience (EHR, claims, ADT, HIPAA compliance, etc.) is highly preferred. ________________________________________ Why Join Us? • Build impactful solutions on an AI-powered healthcare platform. • Work on meaningful problems in the healthcare industry that directly affect patient lives. • Be part of a growing tech-first product company with strong domain expertise. • Collaborative work culture with cross-functional teams. • Competitive compensation and career growth opportunities.
Responsibilities: 1.Define and document product requirements in-line with the product vision and business goals: Translate high level product vision into actionable user stories, ensuring that product features are well-defined, user-friendly, and aligned with industry best practices. 2.Collaborate with Engineering, User Experience, SMEs, Clients, Client facing teams within Fold, and other stakeholders to define product requirements. 3.Manage/maintain a prioritized product backlog: Work closely with various stakeholders to understand market needs, competitive landscape, customer feedback and business priorities to define a clear product roadmap. 4.Lead Agile development process: Act as the voice of the customer and product champion within the Agile development team, participating in sprint planning, backlog grooming, and daily stand-ups to ensure that development efforts are aligned with customer needs and business goals. 5.Regularly collaborate with UX designers to ensure that user stories and product requirements are aligned with best practices in user experience design. 6.Conduct user testing and validation: Coordinate user testing and validation activities, as needed, to gather feedback, iterate on product features, and ensure that solutions meet user needs, usability standards, and regulatory requirements. 7.Facilitate continuous feedback loops with customers and internal stakeholders to iteratively improve product features and user satisfaction. 8.Measure and analyze product performance: Define key performance indicators (KPIs) and metrics to measure product success, analyzing data and user feedback to identify opportunities for improvement and optimization. 9.SPOC for all product related asks/queries to all internal teams, strategic partners, clients (when needed). 10. Stay informed about industry trends: Keep abreast of emerging trends, technologies, and regulations in the US healthcare industry, providing insights and recommendations to inform product strategy and roadmap prioritization. 11. Create comprehensive release notes documenting new features, enhancements, bug fixes, and other changes introduced in each product release, ensuring clear communication and transparency with stakeholders. 12. Collaborate with development and QA teams to triage reported bugs, prioritize them based on product priority and impact, and ensure timely resolution, maintaining a balance between addressing critical issues and advancing product development. 13. Identify potential risks in the product development lifecycle and develop mitigation strategies in collaboration with the development and QA teams. 14. Organize training sessions and create knowledge-sharing materials to ensure all stakeholders are well-informed about new features and updates. Requirements 1.2+ years of experience as a Product Owner, Product Manager, or similar role in a healthcare technology company or related industry. 2.Working knowledge of the US healthcare system, primary care delivery models, alternate payment models, and regulatory requirements. 3.Good understanding of value-based care (VBC) models and workflows, with experience in aligning technology solutions to VBC goals. 4.Basic knowledge of large language models (LLMs) and their applications in healthcare to drive intelligent, data-driven insights. 5.Basic understanding of BI/reporting tools and ability to think through how product features translate into actionable reports and dashboards. 6.Strong understanding of Agile development methodologies and best practices, with experience leading cross-functional Agile teams in the development of complex software solutions. 7.Excellent communication, negotiation, and interpersonal skills, with the ability to effectively engage with stakeholders at all levels and drive consensus around product decisions and priorities. 8.Analytical mindset and proficiency in data-driven decision-making, with the ability to leverage analytical tools and metrics to measure product performance, identify trends, and drive continuous improvement. 9.Certified Scrum Product Owner (CSPO) or similar Agile certification preferred. 10. Basic knowledge around EHR/HIE systems and integration with these systems preferred. 11. Ability to write and run basic SQL queries to independently analyze and validate healthcare data preferred.
- Design, develop, and deploy LLM-based applications for clinical and operational workflows (summarization, chat, reasoning, data extraction). - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, or Vertex AI Matching Engine). - Work hands-on with LLM APIs (OpenAI, Claude, Gemini, Mistral, Llama) for fine-tuning, evaluation, and productionization. - Build and maintain AI microservices / APIs using FastAPI or Flask, integrated with Fold’s Unity platform. - Implement Agentic AI workflows (multi-step reasoning, tool use, and task orchestration) using frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data. - Conduct model evaluation and benchmarking (factual accuracy, hallucination control, latency). Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage Requirements Must have: Knowledge of Agentic AI use cases — autonomous task handling, reasoning chains, planning-execution loops. Understanding of healthcare data formats (FHIR, HL7, clinical notes) is highly preferred. Good to Have Knowledge of MLOps, continuous evaluation pipelines, or model observability. Experience integrating AI features into SaaS or API-first products. Prior exposure to healthcare AI, clinical NLP, or population health analytics
- Design, develop, and deploy LLM-based applications for clinical and operational workflows (summarization, chat, reasoning, data extraction). - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, or Vertex AI Matching Engine). - Work hands-on with LLM APIs (OpenAI, Claude, Gemini, Mistral, Llama) for fine-tuning, evaluation, and productionization. - Build and maintain AI microservices / APIs using FastAPI or Flask, integrated with FoldUnity platform. - Implement Agentic AI workflows (multi-step reasoning, tool use, and task orchestration) using frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data. - Conduct model evaluation and benchmarking (factual accuracy, hallucination control, latency). Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage Requirements Must have: Knowledge of Agentic AI use cases autonomous task handling, reasoning chains, planning-execution loops. Understanding of healthcare data formats (FHIR, HL7, clinical notes) is highly preferred. Good to Have Knowledge of MLOps, continuous evaluation pipelines, or model observability. Experience integrating AI features into SaaS or API-first products. Prior exposure to healthcare AI, clinical NLP, or population health analytics
Job_Description":" 1. Strategic Program Management - Work directly with the CEO to translate high-level business objectives into actionable program plans and measurable outcomes. - Partner with Product and Engineering leadership to define and align quarterly OKRs, milestone timelines, and key success metrics. - Structure and oversee large, cross-functional initiatives spanning Product, Data, AI, and Customer Success ensuring clear ownership, sequencing, and progress visibility. 2. Cross-Functional Delivery & Execution - Own the end-to-end execution rhythm: from planning to delivery to post-release validation. - Track progress across engineering pods (Backend, AI, Data, Integration, QA) and proactively identify interdependencies or bottlenecks. - Ensure deliverables are production-ready before handoff to Customer Success and Implementation teams, aligning delivery with customer onboarding and SLAs. - Work with implementation leads to bridge gaps between product expectations and real-world deployment nuances. 3. Customer-Centric Alignment - Interface directly with Customer Success to understand deployment challenges, customer feedback, and usage data ensuring internal teams act on insights swiftly. - Help translate customer or field-level feedback into prioritized, validated product enhancements. - Go beyond whatsaid analyze patterns, connect signals, and identify root causes to preempt risks or emerging issues before they surface. 4. Communication, Reporting & Decision Support - Be the primary channel between cross-functional teams and the CEOoffice delivering clear weekly reports on progress, blockers, and upcoming risks. - Drive leadership-level visibility into execution through structured dashboards, metrics, and post-mortem summaries. - Facilitate critical decision meetings with crisp, insight-backed updates ensuring leadership can make timely trade-offs. 5. Process Design & Operational Excellence - Institutionalize lightweight but disciplined delivery processes that balance startup agility with predictability. - Drive continuous improvement across sprint planning, retrospectives, and dependency management. - Ensure every initiative has well-defined success criteria, measurable outcomes, and accountability owners. 6. Leadership & Influence - Demonstrate executive maturity and the ability to influence without authority guiding teams through clarity, context, and conviction. - Act as an execution coach to team leads helping them structure goals, track outcomes, and manage priorities effectively. - Embody Foldleadership values: Speed, Clarity, Ownership, and Empathy Requirements - 8-12 years of experience in technical program management or delivery leadership, preferably in SaaS, AI, or large-scale data platform environments. - Strong background in engineering, data systems, or cloud-based applications, with the ability to engage deeply on technical topics. - Demonstrated success managing cross-functional product delivery in dynamic, high-growth startups or scale-ups. - Deep familiarity with software development life cycles, Agile methodologies, and sprint-based planning. - Proven experience working directly with CXO-level stakeholders, including executive reporting, board preparation, and strategic planning. - Track record of leading through influence managing multiple teams toward shared outcomes. - Strong analytical mindset and ability to look beyond surface feedback, connecting dots across inputs to identify systemic issues or opportunities. - Excellent communication and storytelling skills both written and verbal.
Integration Solution Design and Development: Collaborate with stakeholders to gather integration requirements and design robust integration solutions. Develop and maintain interfaces using healthcare integration standards, such as HL7, FHIR, and DICOM. Implement and configure middleware platforms and integration engines (e.g., Mirth, BizTalk, or Rhapsody). Healthcare System Integration: Integrate electronic health record (EHR) systems, laboratory information systems (LIS), picture archiving and communication systems (PACS), and other healthcare applications. Ensure data accuracy and integrity during the integration process. Monitor and troubleshoot integration workflows to identify and resolve issues. Security and Compliance: Implement security measures to protect patient data during the integration process. Ensure compliance with healthcare regulations, such as HIPAA, to safeguard patient privacy and confidentiality. Performance Optimization and Monitoring: Monitor integration performance to identify bottlenecks and areas for optimization. Conduct load testing and performance tuning to ensure the scalability of integration solutions. Documentation and Training: Create comprehensive documentation for integration solutions, including interface specifications and configurations. Train internal teams and end-users on using integration interfaces effectively. Requirements Bachelordegree in computer science, Software Engineering, Biomedical Engineering, or a related field. Proven experience as a Healthcare Integration or in a similar role within the healthcare industry. In-depth knowledge of healthcare integration standards, such as HL7, FHIR, DICOM. Experience with integration middleware and engine platforms, such as Mirth, BizTalk, or Rhapsody is plus. Familiarity with electronic health records (EHRs), laboratory information systems (LIS). Strong understanding of healthcare data privacy and security regulations (e.g., HIPAA). Proficiency in programming languages (e.g., Java, Javascript) and data transformation (XML, JSON). Excellent problem-solving skills and the ability to work effectively in a team-oriented environment. Effective communication and interpersonal skills to collaborate with cross-functional teams and healthcare professionals.
Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases. Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel . Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). Guide engineers on prompt design, model evaluation, multi-step orchestration , and hallucination control . Collaborate with product managers, data engineers, and designers to align AI architecture with business goals . Manage end-to-end AI lifecycle data ingestion, fine-tuning, evaluation, deployment, and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI . Lead scrum ceremonies , sprint planning, and backlog prioritization for the AI team. Work directly with external stakeholders and customer teams to understand requirements, gather feedback, and translate insights into scalable AI solutions. Ensure compliance with HIPAA, PHI safety , and responsible AI governance practices. Contribute to hiring, mentoring, and upskilling the AI engineering team.
Responsibilities: 1.Define product strategy: Lead the development of the product vision, strategy, and roadmap for value-based care solutions within the platform, aligning with organizational goals, market trends, and customer needs. 2.Define and document product requirements in-line with the product vision and business goals: Whenever needed, translate high level product vision into actionable user stories, ensuring that product features are well-defined, user-friendly, and aligned with industry best practices. 3.Act as a Value-Based Care Subject Matter Expert (SME): Provide expertise and guidance to internal teams conducting product research, serving as a resource to help teams gain knowledge and insights related to value-based care models. 4.Market analysis and customer insights: Conduct market research, competitive analysis, and customer interviews to identify market opportunities, understand customer pain points, and gather insights to inform product strategy and feature prioritization. 5.Develop detailed customer journey maps to understand user interactions and identify opportunities for enhancing the user experience. 6.Product roadmap planning : Develop and maintain a comprehensive product roadmap that outlines key initiatives, milestones, and deliverables, balancing short-term priorities with long-term strategic objectives. 7.Facilitate regular cross-functional meetings to align product development with marketing, sales, customer success, and engineering teams. 8.Feature prioritization and backlog management: Collaborate with stakeholders to prioritize product features, user stories, and enhancements based on business value, customer impact, and strategic alignment, ensuring that backlog items are well-defined and actionable. 9.User experience design: Work closely with designers and user experience (UX) experts to create intuitive, user-friendly interfaces and workflows that optimize user engagement, efficiency, and satisfaction in value-based care settings. 10. Agile development leadership: Serve as the product owner, as needed, within Agile development teams, participating in sprint planning, backlog grooming, and daily stand-ups, and providing guidance to the development team on feature implementation and delivery. 11. Develop and implement change management strategies to ensure smooth adoption of new features and updates by customers and internal teams. 12. Product launches and go-to-market strategy: Lead product launches and go-to-market initiatives, collaborating with marketing, sales, and customer success teams to develop messaging, collateral, and training materials, and ensure successful product adoption and customer satisfaction. 13. Product performance analysis: Define key performance indicators (KPIs) and metrics to measure product success, analyzing data and user feedback to identify opportunities for improvement, optimize product features, and drive continuous innovation. Leverage advanced data analytics tools to derive actionable insights for product improvements and strategic planning. 14. Regulatory compliance and quality assurance: Ensure that products comply with relevant healthcare regulations (e.g., HIPAA, HITECH) and quality standards, collaborating with legal, regulatory affairs, and compliance teams to mitigate risks and ensure product integrity and security. 15. Stakeholder engagement: Cultivate strong relationships with internal and external stakeholders, including customers, partners, executives, and industry experts, fostering open communication, transparency, and collaboration to ensure alignment and support for product initiatives. 16. Act as a SPOC for all product related asks/queries to all internal teams, strategic partners, clients, commercial teams. Requirements 1.Minimum 5 years experience in US healthcare product management with a strong focus on value-based care and population health management. 2.Deep understanding of value-based care models, payer contracting, and healthcare programs (MA, MSSP, ACO, ACO Flex), including Star Ratings and bundled payments. 3.In-depth knowledge of clinical quality measures (HEDIS, NCQA, PQRS, eCQM, MIPS). 4.Familiarity with care gaps, coding gaps, diagnosis gaps, and risk adjustment methodologies to optimize value-based care outcomes. 5.In-depth knowledge of EHR/HIE systems and integration. 6.Strong business acumen, strategic thinking, and leadership abilities with proven success launching/managing healthcare software products. 7.Excellent communication, negotiation, and stakeholder management skills. 8.Experience working in Agile environments with proficiency in product management tools and practices. 9.Analytical mindset with proficiency in data-driven decision-making and product performance measurement. 10. Knowledge of healthcare regulations and compliance (HIPAA, HITECH, etc.). 11. Understanding of BI/reporting tools with ability to design features that translate into actionable dashboards. 12. Proven experience in designing and delivering LLM-powered features, with strong understanding of applications, limitations, and integration into healthcare workflows.
- Design, develop, and deploy LLM-based applications for clinical and operational workflows (summarization, chat, reasoning, data extraction). - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, or Vertex AI Matching Engine). - Work hands-on with LLM APIs (OpenAI, Claude, Gemini, Mistral, Llama) for fine-tuning, evaluation, and productionization. - Build and maintain AI microservices / APIs using FastAPI or Flask, integrated with Fold's Unity platform. - Implement Agentic AI workflows (multi-step reasoning, tool use, and task orchestration) using frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data. - Conduct model evaluation and benchmarking (factual accuracy, hallucination control, latency). Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage Requirements Must have: Knowledge of Agentic AI use cases autonomous task handling, reasoning chains, planning-execution loops. Understanding of healthcare data formats (FHIR, HL7, clinical notes) is highly preferred. Good to Have Knowledge of MLOps, continuous evaluation pipelines, or model observability. Experience integrating AI features into SaaS or API-first products. Prior exposure to healthcare AI, clinical NLP, or population health analytics