Qventus, Inc

Full-stack Engineer

• Develop a deep understanding of pre-admission testing (PAT) workflows, hospital operations, and user needs to identify high-leverage opportunities that improve efficiency and reduce administrative burden for clinical staff.
• Collaborate closely with engineers and product managements to define and refine product requirements
• Own the design, execution, and optimization of the PAT Assist product
• Engage with customers and stakeholders to validate concepts and gather feedback
• Ensure a seamless user experience that balances simplicity, rigor, and delight
• Mentor and support cross-functional teammates across engineering
• Deliver and communicate a cohesive product vision that aligns with company goals

Senior Software Engineer

Artificial Intelligence

• Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows
• Partner with client executive leadership to shape an AI Roadmap to guide their transformation journey. Translate business needs into clear, concise, and actionable product requirements for development teams.
• In partnership with client finance teams, develop credible proformas and ROI analyses of each bespoke use cases. Use these proformas in partnership with client leadership as part of the selection criteria process for use case development.
• Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements. Ensure alignment and efficient product development.
• Engage with customers and stakeholders to validate concepts and gather feedback
• Manage the product launch and ensure a seamless customer experience that balances simplicity, rigor, and delight
• Train end-users on new processes and drive change management initiatives in partnership with the client.
• Mentor and support cross-functional teammates across forward-deployed client team
• Deliver and communicate a cohesive product vision that aligns with company and client goals

Forward-Deployed AI Solution Consultant

Machine Learning Engineer

• Build, run, and evolve production ML and LLM systems by implementing feature pipelines, training and retraining workflows, and batch and real-time inference on top of Qventus’ data platform
• Monitor and optimize model performance across hospitals, improving accuracy, latency, cost, and reliability
• Build and maintain model-level feature pipelines and feature management systems on top of curated datasets to support training, inference, and replay.
• Collaborate with Data Science leaders to establish best practices for applied ML at Qventus, setting standards for feature design, evaluation, and production readiness through iteration and retraining

Senior Machine Learning Engineer – Data Platform

Data Engineer

• Spearhead the discovery, evaluation, and integration of new datasets
• Facilitate the technical management of data assets
• Translate product / analytical vision into highly functional data pipelines
• Set the standard for data engineering practices within the company

Senior Data Engineer – New Solutions

Product Manager

• Set strategy, determine roadmap, and manage prioritization for our platform capabilities, working closely with our Apps Platform engineering team
• Work cross-functionally across the company to facilitate the end-to-end product lifecycle for development of platform capabilities
• Advance our workflow / automation strategy, including the development of the next generation of our workflow engine
• Build out our integration ecosystem to allow for deeper automation workflows across multiple third-party technologies
• Build toward a direct Platform-as-a-Service offering for our customers to be able to extend our solutions over time

Senior/Lead Product Manager, Application Platform

Platform Engineer

• Serve as a primary platform owner for Sigma, ensuring reliability, performance, secure configuration, and smooth day-to-day operation across multiple Qventus solutions.
• Interact regularly with BI vendors, including Sigma, to understand their feature roadmap and how it will impact our ability to provide next-generation analytics to our customers
• Develop and maintain reusable Sigma assets, including templates, components, data models, and governance patterns, that allow analytics teams to build consistently and efficiently.
• Partner with data engineering teams to ensure dbt pipelines and data models are optimized for downstream analytics consumption
• Create and implement standards for dashboard performance and integrity across the analytics platform
• Contribute to cross-solution deployment strategies to ensure analytics scale reliably and consistently
• Participate in the evaluation and support of AI-assisted analytics tooling, semantic layer technologies, and emerging self-service analytics platforms
• Prototype, test, and document new analytics features or AI-driven enhancements that could improve user experience, accelerate insights, or reduce manual effort
• Provide technical thought leadership on long-term platform evolution, architectural choices, and cross-tool integration
• Provide team leadership in ways that inspire and can help guide others on the team

Senior Analytics Platform Engineer

Product Designer

• Collaborate with product managers, clinical experts, data scientists, and engineers
• Craft impactful user experiences for pre-surgical and post-surgical workflows
• Build meaningful solutions and organize complex information visually
• Test interactive prototypes with customers
• Contribute to the design system

Technical Product Manager

• Work with cross-functional solution and platform teams composed of product managers, data scientists, designers, clinicians, customer success managers, and more to assess, design, and develop new solutions for our customers.
• Lead product management for technical product areas, from opportunity assessment through delivery, including writing requirements and PRDs.
• Drive data analysis (SQL/Snowflake, Sigma, etc.) to size opportunities, evaluate product experiments, and measure customer impact.
• Define the vision, strategy, problems to solve, and key requirements for the solutions that address the opportunities you identify
• Scope data requirements and integration options (FHIR, HL7, CCL, etc) for new solutions, and work with the team to ingest, validate, and experiment with new data
• Build new solutions via an iterative, rapid-prototyping-based approach to find the optimal solution to drive customer outcomes.
• Collect and measure feedback and outcomes post-launch, iterating on the solution as needed, to ensure the solution makes the desired impact on our users and our business
• Once you’ve figured out the solution and proven it works for multiple customers, you’ll package it up for scalable ongoing deployment to all our customers via our Delivery team.
• Develop and maintain strong relationships with users, buyers, and external thought leaders to inform your work

• Guide a team of engineers, data scientists, designers, and clinical experts to ship great products that solve meaningful customer problems
• Discover and validate new product opportunities through a deep understanding of our users, market, technology, strategy, and data
• Define the vision, strategy, problems to solve, and key requirements for the solutions that address the opportunities you identify
• Get involved with the design and software development process, and manage the product backlog
• Follow through to launch and iterate on products, ensuring that they make the desired impact on our users and our business
• Develop and maintain strong relationships with users, buyers, and external thought leaders to inform your work

• Lead scoping and execution of critical improvements to our data platform
• Support production ML Ops functionality
• Partner strategically with data science, analytics, and data engineering leads
• Provide expertise on overall data engineering best practices
• Support solution development; translate product / analytical vision into highly functional data pipelines

Senior Data Platform Engineer

AI Engineer

• Set strategy, determine roadmap, and manage prioritization for our platform capabilities, working closely with our agentic AI engineering team
• Work cross-functionally across the company to facilitate the end-to-end product lifecycle for development of platform capabilities
• Enhance and expand our AI voice & conversational AI capability suite
• Build toward a direct Platform-as-a-Service offering for our customers to be able to extend our solutions over time

Senior/Lead Product Manager, Agentic AI Platform

Senior/Lead Product Manager

Solutions Engineer

• Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows
• Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client
• Technical Implementation
• Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
• Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
• Use frameworks such as Dialogflow, Rasa, Amazon Lex, Langchain, or similar tools.
• Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
• Enhance bot functionality with custom scripts, API calls, and external system integrations.
• Optimization, Testing & Maintenance
• Continuously tune and improve intent recognition and response quality using real user data.
• Monitor and resolve conversation breakdowns, mismatches, and fallback issues.
• Develop and run unit, regression, and A/B tests to ensure conversational performance.
• Implement real-time monitoring, analytics, and logging to drive performance insights.
• Collaboration & Documentation
• Shape client use cases in partnership with the AI Solution Consultant
• Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements
• Work closely with software engineers and data scientists to refine LLM integration and behavior.
• Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.
• Mentor and support cross-functional teammates across forward-deployed client team

Forward-Deployed AI Solution Architect

Clinical Operations

• Deliver training, workflow support, and best-practice recommendations
• Act as a trusted advisor to clinical leaders, care managers, physicians, and operational teams
• Support change management initiatives by helping customers adapt workflows and processes
• Assess the operating environment, identify critical success factors and risks
• Monitor adoption, identify gaps, and recommend optimization strategies
• Translate clinical operations workflow requirements into solution configurations
• Advise hospital users on integrating Qventus product features
• Lead clinical discovery sessions to capture requirements and align capabilities
• Collaborate with product, engineering, and implementation teams
• Review program performance data and create performance improvement plans
• Stay up-to-date on clinical standards and represent the company at industry events

Clinical Operations Consultant

Client Partner

• Manage and grow successful partnerships with one or more nationally leading healthcare provider organizations
• Leverage deep functional periop expertise to create and sustain buy-in from core users, executives, and surgeons around workflows and tool adoption
• Challenge the status quo at client sites and influence clients to adopt industry-best practices through strong partnership and communication skills
• Advocate internally for critical product improvements and collaborate with Product team to implement new solution functionality at live clients
• Partner with the Marketing team to establish standard collateral for client training and engagement
• Manage cross-functional work to meet contractual commitments and maintain positive relationships for expansion or renewal
• Navigate difficult conversations with client executives using clearly presented business cases to effect system-wide change
• Lead complex engagements with matrixed teams (clinical, technical, and operational) on both the client side and within Qventus with minimal supervision