NeueHealth

Software Engineer

• Own features through completion from design to implementation
• Develop full stack product solutions
• Drive proper coding processes
• Participate in code reviews
• Mentor junior team members
• Work closely with stakeholders, product owners, and the UX team
• Collaborate with teammates to solve business needs and key priorities
• Contribute across the complete development lifecycle, including technical design, work estimation, implementation, testing, and addressing feedback or bugs
• Improve team productivity, culture, and code quality
• Peer review team members’ code and provide constructive feedback
• Create documentation and processes to improve team productivity and transparency

Product Manager

• Identify and shape AI product opportunities through stakeholder discovery, workflow analysis, value sizing, feasibility assessment, and risk identification
• Own one-pagers, PRDs, user stories, acceptance criteria, launch criteria, and KPIs for AI solutions
• Partner with the Head of AI to prioritize work based on business value, user impact, strategic fit, feasibility, risk, compliance, and capacity
• Maintain and communicate the roadmap or backlog for assigned AI features, workflows, products, or product areas
• Make timely product decisions during implementation, including scope, requirements, tradeoffs, and outcome alignment
• Verify completed solutions against product requirements, acceptance criteria, user needs, and success measures
• Support UAT, workflow validation, pilot planning, launch readiness, and post-launch feedback collection
• Drive adoption through stakeholder communication, rollout planning, training, user guidance, change management, and support workflows
• Own post-launch KPI monitoring, user feedback analysis, bug/enhancement intake, and continuous improvement recommendations
• Partner with Engineering, Compliance, Security, Legal, Clinical, and Operations to ensure AI solutions are responsible, secure, compliant, auditable, and trustworthy
• Maintain product documentation, including requirements, roadmap materials, decision logs, launch plans, KPI definitions, stakeholder updates, and performance summaries
• Report to the Head of AI Product & Engineering and collaborate with the Director of AI Engineering and cross-functional stakeholders
• Perform other duties and responsibilities as assigned

Software Engineer

Senior AI Product Manager