Phare Health

Product Manager

• Drive product strategy and execution for innovative healthcare revenue cycle solutions, grounded in research, stakeholder insight, and business expertise
• Lead project planning and execution by running meetings and guiding teams through high-quality plans and roadmaps that connect product vision to measurable progress
• Generate strategic product insights by solving complex business challenges, identifying high-leverage data signals, and translating AI/ML model outputs into clear product direction
• Engage and align stakeholders across business teams, engineering, other product groups, and leadership; distill complex concepts into clear, business-focused language
• Lead cross-functional collaboration to identify root causes, shape strategy, and drive alignment through clear communication
• Apply deep knowledge of healthcare revenue cycle processes and regulations to guide compliant product development and ensure solutions are relevant and impactful

Research Scientist

• Conduct applied research on real healthcare data, focused on explainability, reinforcement learning, and long-context information retrieval
• Design experiments, training models at scale, and collaborate with ML Ops and Product teams
• Move quickly from concept to deployment
• Code own experiments end-to-end

Machine Learning Engineer

• Own the production runtime for Phare’s ML stack
• Deploy, serve, and scale models across inference endpoints and batch/streaming workflows
• Build progressive delivery pipelines with automated rollouts and rollbacks
• Manage SLOs for latency and availability
• Instrument end-to-end observability (metrics, logs, traces, drift, regression)
• Harden the platform with Terraform, Kubernetes, and CI/CD

Software Engineer – MLOps

• Build training and inference infrastructure for a fast-moving research team
• Design and develop scalable AI systems for healthcare data
• Partner closely with Research Scientists to make models production-ready
• Establish feedback loops for model performance improvement

AI/ML Engineer

Engineering Manager

• Lead a team of AI/ML, data, and full-stack engineers to deliver AI-native products.
• Work closely with product, engineering, AI research, and data science teams.
• Spearhead innovation in 0->1 product areas.
• Champion agile methodologies and DevOps best practices within the team.
• Contribute to building a diverse and inclusive team and culture.

Full-stack Engineer

• Full-stack application engineering using React, Node & Python
• Partner with customers, design, and research to understand workflows
• Ship products that make complex automation feel simple, clear, and trustworthy
• Blend technical depth with product instinct, shaping healthcare team interaction with systems

Product Engineer

• Design, code, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems
• Run A/B tests and ship production features tied to real business outcomes
• Partner closely with product managers and operators to turn cumbersome manual workflows into agentic and AI-driven automations
• Work with AI and ML engineers to build AI-native systems that combine deterministic logic, traditional ML models, and LLMs
• Design and build secure, compliant, and reliable systems at scale

Software Engineer

Data Engineer

• Own the data foundations of the Phare stack
• Work on reliable systems for ingesting, transforming, and serving large-scale healthcare data
• Ensure high performance, observability, and security/compliance

Product Manager

Research Scientist

Software Engineer – MLOps

AI/ML Engineer

Engineering Manager

Product Engineer

Software Engineer

Software Engineer – Data Platform

Product Manager