Staff Product Engineer – Full Stack

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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CopilotIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 Series B on 2024-11

Healthcare • SaaS • Artificial Intelligence

CopilotIQ is an AI-driven healthcare company that provides a remote patient monitoring and clinical engagement platform for people with chronic conditions, primarily diabetes and hypertension. The company combines an AI-powered analytics engine (remoteIQ) with deep longitudinal data — biomarkers, social determinants of health, behavioral data, and medication adherence — to monitor members in real time, provide early warnings, and enable personalized interventions by US-based licensed nurses and clinical teams. CopilotIQ markets its solution to payors (including Medicare Advantage plans) and emphasizes measurable outcomes such as reductions in ER visits, hospitalizations, hypoglycemic and hyperglycemic events, medication reductions, and high retention and engagement metrics. The company also operates under HIPAA privacy practices and offers telemedicine/clinical services through affiliated medical entities.

📋 Description

• Set technical direction, own system architecture, lead design reviews, and make build, buy, and integration decisions • Shape architecture across pods, including shared services, data models, integration patterns, and platform capabilities • Write production code, solve difficult technical problems, and ship alongside the team • Work with Sales, Clinical, and Operations stakeholders to understand workflows and translate business problems into technical strategy and sequenced plans • Drive the mobile-first member experience • Partner with the product manager and engineering managers on quarterly goals, metrics, roadmap tradeoffs, and prioritization • Define and evolve team practices for AI coding agents, including instructions, specifications, acceptance criteria, testing, CI quality gates, and review standards for patient data, clinical logic, and billing changes • Lead AI-powered product feature design, including model selection, structured outputs, evaluations, fallback behavior, and quality, latency, and cost monitoring • Set reliability and safety standards, including SLOs, observability, incident response, audit trails, feature flags, progressive rollouts, and end-to-end data accuracy • Participate in on-call rotations and incident response • Lead complex multi-system initiatives, including third-party integrations, data flows, and platform migrations, from design through rollout • Mentor engineers through design feedback and code review, and help develop pod leads and future Staff engineers • Communicate technical strategy, tradeoffs, and risks to engineers, stakeholders, and leadership

🎯 Requirements

• Extensive experience building production software across frontend and backend • Track record of shipping user-facing features and shaping scope • Clear communication with non-engineers and comfort working directly with internal teams • Strong system design skills covering data modeling, APIs, failure handling, observability, reliability, and security by design • Regular use of AI coding assistants with judgment about their limitations • US-based due to work with protected health information • 10+ years of professional software development experience, including designing, building, and operating cloud-based production systems end to end • Experience setting technical direction as an individual contributor for one or multiple teams • Deep system design experience across services, APIs, data models, event-driven workflows, and third-party integrations • Hands-on leadership adopting AI coding agents on production codebases • Experience shipping and operating LLM-powered features in production, including evals and fallback behavior • Experience with prompt and context management, versioned prompts, retries, timeouts, fallbacks, and privacy-preserving logging • Experience handling sensitive data securely, including access controls, encryption, and audit logging • Experience in a startup or similarly fast-moving environment • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience • Strong frontend and backend experience, including deeper expertise in at least one area • Experience with React and production-grade web applications • Experience with Go, Java with Spring Boot, or a comparable backend language and framework • Experience with AWS services such as Lambda, SQS, DynamoDB, and API Gateway • Experience with MongoDB and Redis or comparable data stores • Experience with Docker and Kubernetes • Experience with infrastructure as code such as Terraform, AWS CloudFormation, or AWS CDK • Experience with logging, monitoring, alerting, and observability tooling • Experience with LLM provider APIs, structured outputs, function calling, tool use, streaming, rate limits, timeouts, provider errors, eval suites, tracing, and production monitoring • Experience with AI coding agents such as Claude Code, Cursor, or Codex, plus automated tests, typed interfaces, static analysis, and CI quality gates

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