Artisight

Project Manager

• Provide expert-level technical advice and best practices during the implementation, integration, and operation of the solutions
• Lead and oversee technical discussions with customers, demonstrating deep product knowledge and industry expertise
• Serve as the primary technical point of contact for assigned customer accounts
• Assist customers with troubleshooting complex technical issues, working collaboratively with internal engineering and support teams
• Conduct product training and workshops to ensure customers are equipped to use products effectively

Director of Technology Project Management Office

Recruitment

• Lead and manage a high-performing recruiter while maintaining hands-on responsibility for key roles
• Design, document, and continuously improve recruiting processes
• Partner with hiring managers to define role requirements and write job descriptions
• Manage dashboards, recruiting analytics, and provide regular insights to leadership
• Actively identify, engage, and close high-quality candidates
• Ensure all candidates have a clear and respectful experience
• Partner with People Ops and Finance on workforce planning
• Research and apply best practices in recruiting technology and talent acquisition strategies

Recruiting Manager

Chief of Staff

• Manage and track deliverables, including financial models, ROI calculators, board materials, and client presentations.
• Support product and business development initiatives, including research, data analysis, and preparation of client-facing materials.
• Own logistics and details for meetings, travel, board coordination, and partner relationships.
• Shadow in key meetings, take detailed notes, identify action items, and follow through to completion.
• Assist in performance improvement and financial services projects, ensuring tasks are done correctly upfront rather than corrected later.
• Prepare board slides, project documents, and client deliverables with accuracy and professionalism.

AI Research Scientist

• Train, fine-tune, and optimize large-scale NLP models for clinical text and health record data.
• Develop methods for extracting insights from structured and unstructured health records, including notes, lab results, imaging reports, and longitudinal patient histories.
• Contribute to the architecture of Artisight’s AI platform, ensuring seamless integration of health record intelligence with other AI modalities (vision, audio, IoT sensors).
• Collaborate closely with AI scientists, engineers, clinicians, and product teams to translate research ideas into production-ready solutions.
• Stay up to date with advances in clinical NLP, generative models, and multimodal AI, and bring these insights into Artisight’s applied research pipeline.
• Share research outcomes through internal discussions, technical reports, and potentially external publications.

AI Scientist – Natural Language, Health Records

• Train, fine-tune, and optimize speech and audio foundation models, including large-scale and domain-adapted models.
• Contribute to the architecture of Artisight’s AI platform, ensuring seamless integration of audio intelligence with other AI modalities.
• Collaborate closely with AI scientists, engineers, and product teams to translate research ideas into production-ready solutions.
• Deploy Audio AI technologies into production healthcare environments and ensure low-latency performance where required.
• Stay up to date with advances in speech processing, generative audio, and multimodal AI and incorporate insights into the applied research pipeline.
• Share research outcomes through internal discussions, technical reports, and potentially external publications.

AI Scientist, Audio AI

AI Engineer

• Use technical and people management expertise to drive development of AI systems.
• Work collaboratively with product, AI, and engineering teams to turn AI concepts into valuable products.
• Develop systems leveraging computer vision/NLP deep learning models for healthcare use cases.
• Help to guide the design & architecture of Artisight’s AI platform.
• Lead cross-functional teams through development of AI powered solutions.
• Study and transform data science prototypes.
• Research, design, and implement scalable machine learning systems.
• Develop machine learning applications according to requirements and ensure systems meet performance requirements.
• Perform statistical analysis and fine-tuning using test results; train and retrain systems when necessary.
• Extend existing libraries and frameworks.

Senior AI Engineer

Full-stack Engineer

• Design, develop, and maintain performant and scalable web applications
• Build new and improve existing features
• Partner with stakeholders to formulate new product strategies
• Work closely with ML Engineers and AI Scientists to deliver novel capabilities
• Independently identify appropriate, pragmatic solutions
• Take ownership of problems from definition to deployment
• Define best practices and mentor teammates
• Leverage Artisight's unique dataset to develop transformative AI products for healthcare

Senior Software Engineer, Applications

DevOps Engineer

• Reliability & Support: Act as a primary point of contact for L2 support issues, troubleshooting complex problems across our stack and driving them to resolution. Implement permanent fixes and preventative measures to reduce recurrence.
• Automation & Tooling: Design, develop, and implement automation solutions for common operational tasks, system provisioning, maintenance, and incident response. Reduce operational "toil" through smart tooling.
• Observability & Monitoring: Lead the strategy and implementation of comprehensive monitoring, logging, and alerting systems. Enhance our observability stack to provide deep insights into system health and performance.
• System Architecture & Design: Collaborate with development and product teams to design and build scalable, reliable, and secure infrastructure and applications. Provide SRE perspective on new features and architectural decisions.
• Incident Management: Participate in on-call rotations, respond to incidents, perform root cause analyses, and implement post-incident actions to prevent future occurrences.
• Mentorship & Leadership: Mentor junior SREs and other engineering team members, sharing best practices in reliability, operations, and software development. Potentially lead small projects or initiatives.
• Performance Optimization: Identify and address performance bottlenecks across infrastructure and applications.
• Documentation: Create and maintain thorough documentation for systems, processes, and playbooks.