[Hiring] Staff Product Engineer @CopilotIQ

Role Description

Our engineering team is organized into small pods, each owning a business outcome and working directly with the teams that run our business, including Product, Member experience, Sales and enrollment, Clinical, Operations and logistics. As a Staff Product Engineer, you’ll set the technical direction for a pod and help shape it across the platform. You’ll stay hands-on, writing code and shipping alongside the team, while making the architecture, quality, and prioritization calls that let a small team deliver outsized outcomes. This is a technical leadership role without direct reports: you’ll partner closely with engineering managers, our product manager, and stakeholders, and lead through design, judgment, and example.

Qualifications

• 10+ years of professional software development experience, including significant time designing, building, and operating cloud-based production systems end to end.
• A track record of setting technical direction as an individual contributor for a team or multiple teams, with examples of architecture decisions you led and how they played out.
• Deep system design skills across services, APIs, data models, event-driven workflows, and third-party integrations, including designing for failure, scale, and cost.
• Hands-on leadership in adopting AI coding agents on a production codebase, with concrete examples of guardrails you put in place and how you measured their effect on quality and speed.
• Experience shipping LLM-powered features, using frontier models, to production and operating them reliably, with evals and fallback behavior in place.
• Experience handling sensitive data securely, including access controls, encryption, and audit logging.
• Experience in a startup or similarly fast-moving environment where engineers take broad ownership.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

Requirements

• Extensive experience building production software, with real experience on both frontend and backend.
• A record of shipping user-facing features where you shaped the scope, not just implemented tickets.
• Clear communication with non-engineers, and comfort working directly with internal teams.
• Solid system design: data modeling, APIs, failure handling, observability, reliability, security by design.
• You test and monitor your own work, and you care when numbers are wrong.
• Regular use of AI coding assistants, and the judgment to know when not to trust them.
• US-based (the role works with protected health information).

Responsibilities

• Set the technical direction: own the architecture of its systems, lead design reviews, and make the key build, buy, and integrate decisions.
• Shape architecture across pods, including shared services, data models, integration patterns, and the platform capabilities other teams build on.
• Stay hands-on: write production code, take on the hardest technical problems, and ship alongside the team.
• Work embedded with Sales, Clinical, and Operations stakeholders to understand their workflows and goals, and translate ambiguous business problems into clear technical strategy and sequenced plans.
• Partner with our product manager and engineering managers on quarterly goals, outcome metrics, and roadmap tradeoffs, and help the pod prioritize the work that moves those metrics.
• Define and evolve how our team builds with AI coding agents (such as Claude Code, Cursor, or Codex).
• Lead the design of AI-powered product features, including model selection, structured outputs, evals, fallback behavior, and monitoring of quality, latency, and cost.
• Set the reliability and safety bar for the systems you own: service-level objectives, observability, incident response and reviews, audit trails, feature flags and progressive rollouts, and end-to-end data accuracy.
• Participate in on-call rotations and incident response.
• Lead complex initiatives that span multiple systems, such as third-party integrations, data flows, and platform migrations, from design through rollout.
• Grow the engineers around you through mentorship, design feedback, and code review, and help develop pod leads and future Staff engineers.
• Communicate technical strategy, tradeoffs, and risks clearly to engineers, stakeholders, and leadership, in writing and in person.

Technical Experience

• Strong across the stack, with deeper expertise in at least one area.
• Core stack includes:
  • React, with experience building polished, production-grade web applications.
  • Go, Java with Spring Boot, or a comparable backend language and framework.
  • AWS, including services such as Lambda, SQS, DynamoDB, and API Gateway.
  • MongoDB and Redis, or comparable data stores.
  • Docker and Kubernetes.
  • Infrastructure as code, such as Terraform, AWS CloudFormation, or AWS CDK.
  • Logging, monitoring, alerting, and observability tooling.
  • LLM provider APIs (such as Anthropic, OpenAI, or AWS Bedrock).
  • AI coding agents such as Claude Code, Cursor, or Codex.

Bonus Points For

• Experience in healthcare, digital health, telehealth, or care delivery.
• Built polished, patient-facing mobile experiences (on React Native) that people use regularly.
• Working knowledge of HIPAA as it applies to ingesting, processing, storing, and transmitting patient information.
• Experience with model routing, cascading, or multi-provider orchestration for LLM workloads.