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Curative AI, Inc.

Curative AI, Inc.

www.curativeai.com

4 Jobs

34 Employees

About the Company

Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry-transforming AI technology, intelligent automation, and deep data insights. By focusing on rapid product development and having secured early strategic customers, we have achieved cash-flow positivity in 12 months, with signed customer contracts for $35M+ projected 2025 Revenues. Headquartered in Bellevue, WA, we have built a sizable top-notch tech team in the US, and a large talented offshore team. It is an exceptional time to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential!

Listed Jobs

Company background Company brand
Company Name
Curative AI, Inc.
Job Title
Chief Operating Officer (COO)
Job Description
**Job Title:** Chief Operating Officer (COO) **Role Summary:** Lead and scale company‑wide operations for an early‑stage AI‑powered healthcare SaaS startup. Partner directly with the CEO to translate strategy into executable processes, ensuring predictable delivery across product deployment, customer onboarding, support, incident management, compliance, and cross‑functional coordination for both US and offshore teams. **Expectations:** - Partner with CEO; own operational execution, OKRs, and quarterly cadence. - Hands‑on execution—directly manage day‑to‑day operations rather than delegating to removal. - Based in the Seattle metro area with a hybrid in‑office commitment (≥3 days at Bellevue). - Cultivate a high‑performing operations culture that is customer‑centric, AI‑first, and aligned with company values. **Key Responsibilities:** 1. **Operational Leadership & Strategy** – Own end‑to‑end operations, develop frameworks, playbooks, KPIs, dashboards, and scalable processes. 2. **Deployment & Rollout Management** – Oversee lifecycle (planning, readiness, configuration, testing, training, go‑live) for enterprise customers; partner with Product/Engineering to sync releases. 3. **Customer Success & Incident Management** – Define SLAs, incident escalation, RCA, continuous improvement; lead war rooms for critical incidents. 4. **Cross‑Functional Execution** – Align Product, Engineering, Sales, Clinical Ops, Finance, HR; translate strategy into resource allocation and accountability. 5. **Compliance & Risk Management** – Ensure HIPAA, HITRUST, SOC2, and healthcare regulatory compliance; implement data privacy, security, and operational risk controls. 6. **People & Culture** – Build, coach, and scale operations, support, program management, and deployment teams; embed ethical practices and performance standards. **Required Skills:** - 10+ years in Operations, General Management, or Customer Delivery; 5+ years in high‑growth SaaS/HealthTech/AI‑enabled services. - Proven track record building and scaling operations teams and processes in fast‑moving startups. - Deep experience deploying solutions for enterprise healthcare organizations (providers, payers, RCM, clinical ops). - Expertise in HIPAA, data privacy, and healthcare workflow compliance. - Strong project‑management, organizational, and cross‑functional leadership. - Discipline, precision in execution, and ability to translate strategy into measurable results. - Ability to drive OKRs, quarterly planning, and operational cadence. **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, Computer Science, or related field. - Project Management Professional (PMP) or equivalent project‑management certification (preferred). - Knowledge or certification in HIPAA/HITRUST compliance (desired).
Bellevue, United states
Hybrid
Senior
08-02-2026
Company background Company brand
Company Name
Curative AI, Inc.
Job Title
VP of Product
Job Description
Job Title: VP of Product Role Summary Senior product executive responsible for defining and executing the end-to-end product strategy, vision, and roadmap for an AI‑powered healthcare SaaS platform. Drives cross‑functional alignment, leads a growing product organization, and integrates advanced AI capabilities to deliver scalable, differentiated solutions that meet revenue and customer success goals. Expactations • 10+ years of product management experience, 5+ years leading high‑performance PM teams. • Proven track record of building product orgs, setting culture, and delivering complex SaaS products in regulated industries. • Strong analytical mindset with a data‑driven approach to decision‑making and metric ownership. • Deep understanding of healthcare workflows, especially Revenue Cycle Management (RCM), payer, and provider operations. • Successful history of integrating AI/ML into production SaaS products with responsible AI practices. Key Responsibilities • Define and communicate product vision, strategy, and multi‑year roadmap aligned with corporate objectives. • Translate market insights, customer workflows, and regulatory trends into prioritized product initiatives. • Lead the full product lifecycle: discovery, concept, requirement definition, design, engineering hand‑off, launch, and post‑launch adoption. • Partner with Engineering, Operations, Sales, Customer Success, and Compliance to coordinate releases, validate performance, and scale pilots. • Own customer & market discovery: interviews, data analysis, competitive benchmarking, and product analytics to continuously refine the product. • Champion responsible AI integration: define automation use‑cases, guide AI model development, and ensure compliance with health‑data regulations. • Build, mentor, and scale a high‑performing product team; establish PRDs, user stories, launch readiness checklists, metrics, and operating cadences. • Set and track product success metrics (adoption, engagement, NPS, efficiency gains, customer outcomes) and iterate based on insights. Required Skills • Strategic thinking with a product‑business‑technology synthesis mindset. • Proven experience in AI/ML product development and responsible AI governance. • Strong stakeholder management and cross‑functional collaboration. • Leadership skills that inspire ownership, bias to action, and customer obsession. • Data analysis and proficiency in product analytics tools (e.g., Mixpanel, Amplitude). • Knowledge of healthcare industry regulations, RCM processes, and payer/Provider ecosystems. Required Education & Certifications • Bachelor’s degree in Computer Science, Engineering, Business, or related field. • Advanced product management certifications (e.g., Pragmatic Professional, AIPMM) preferred but not mandatory.
Bellevue, United states
Hybrid
Senior
08-02-2026
Company background Company brand
Company Name
Curative AI, Inc.
Job Title
Senior Data Scientist
Job Description
Job Title: Senior Data Scientist Role Summary: Own end‑to‑end data science and AI initiatives that support revenue‑cycle‑management and clinical operations. Design, build, validate, and deploy scalable machine‑learning models that enhance clinical decisions, claims processing, and operational efficiency. Expectations: Deliver production‑ready ML solutions meeting defined performance metrics on schedule. Mentor junior talent, stay current with AI research, and translate findings into product improvements. Communicate insights and actionable recommendations clearly to cross‑functional stakeholders. Key Responsibilities - Define data‑science strategy aligned with business outcomes and healthcare objectives. - Design, develop, validate, and tune models using supervised, unsupervised, reinforcement, and NLP/LLM techniques. - Acquire, clean, transform, and analyze large heterogeneous datasets from health‑care and operational sources. - Conduct experiments, A/B tests, and performance monitoring for accuracy, latency, fairness, and bias. - Deploy models to production environments on cloud or on‑prem, ensuring scalability, reliability, and system integration. - Monitor model drift and compliance; iterate for continuous improvement. - Collaborate with data engineers, software engineers, and domain experts to translate business needs into data‑science solutions. - Mentor junior data scientists and AI engineers, providing technical guidance and code reviews. - Identify new AI opportunities across products and advocate for their implementation. Required Skills - 5+ years of end‑to‑end ML model development and deployment experience. - Advanced Python programming; proficiency with TensorFlow, PyTorch, scikit‑learn, Pandas, NumPy. - Experience with distributed computing (Spark, Hadoop) and public cloud (AWS, GCP, Azure). - Strong statistical analysis, feature engineering, model evaluation, and bias mitigation. - NLP and LLM expertise highly desirable. - Excellent analytical problem‑solving and debugging skills. - Clear written and verbal communication; ability to explain complex models to non‑technical audiences. - Healthcare or revenue‑cycle‑management data experience a plus. Required Education & Certifications - Ph.D. or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. - Optional certifications in cloud ML (AWS Certified Machine Learning, GCP AI, Azure AI) or other data‑science credentials.
Bellevue, United states
Hybrid
Senior
11-02-2026
Company background Company brand
Company Name
Curative AI, Inc.
Job Title
Senior Software Engineer
Job Description
Job title: Senior Software Engineer Role Summary: Senior software engineer responsible for designing, developing, and maintaining high‑performance, scalable microservices that power AI‑driven SaaS solutions in the healthcare domain. Works closely with data scientists, product managers, and operations teams to translate business requirements into robust, secure, and efficient software. Mentors junior staff and contributes to engineering best practices and architecture. Expectations: - 5+ years of end‑to‑end software development experience. - Proven track record of building production‑grade microservices and real‑time event systems. - Strong background in cloud (AWS, Azure), containerization (Kubernetes), and CI/CD pipelines. - Proficiency in scripting (Python, TypeScript) for workflow automation. - Excellent problem‑solving, debugging, and communication skills. - Knowledge of healthcare regulations (HIPAA) and AI/ML concepts is desirable but not mandatory. Key Responsibilities: - Design, code, test, and deploy scalable microservices and real‑time event pipelines. - Automate operational workflows to reduce manual effort and improve throughput. - Collaborate with cross‑functional teams to translate requirements into technical designs. - Ensure system reliability, security, and performance through monitoring, testing, and optimization. - Define and enforce coding standards, best practices, and architectural guidelines. - Review code, provide constructive feedback, and share knowledge with peers. - Troubleshoot complex technical issues and deliver timely resolutions. - Mentor junior engineers and foster a collaborative team culture. - Evaluate emerging technologies and recommend their application to product goals. Required Skills: - Full software development lifecycle experience (design, build, test, deploy, maintain). - Microservices architecture design and implementation in production. - Real‑time event handling (message queues, streaming). - Automation of workflows using Python/TypeScript and relevant tools. - Database design and data modeling proficiency. - Cloud platform expertise (AWS, Azure) and container orchestration (Kubernetes). - CI/CD pipeline configuration and automated testing frameworks. - Strong debugging and analytical capabilities. - Excellent verbal and written communication; ability to explain technical concepts to non‑technical stakeholders. - Experience managing large file volumes and building real‑time scheduling systems. - Familiarity with HIPAA or other healthcare compliance (desired). - Exposure to AI/ML integration in software systems (desired). Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - Certifications such as AWS Certified Developer/Solutions Architect, Kubernetes Administrator (CKA), or similar are preferred.
Bellevue, United states
Hybrid
Senior
14-03-2026