Engineering Manager
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Job Description
Engineering Manager leading Personify Health's PercyIQ AI-powered healthcare search and conversational experiences. Managing engineering teams, production reliability, safety guardrails, and regulated health-data integrations.
Responsibilities:
- Lead the AI Feature team responsible for PercyIQ, Personify Health's AI-powered discovery and conversation experiences
- Own delivery of AI/RAG-powered search and discovery across Web, iOS, and Android, including agent orchestration, knowledge base ingestion, and result ranking/personalization
- Lead go-live readiness, capstone testing, pilot monitoring, load testing, production alerting, and runbooks for AI-driven features
- Direct analytics infrastructure for measuring and reporting AI feature usage
- Guide AI guardrails and evaluators for clinically appropriate, on-brand, trusted responses, including crisis/emergency detection and routing
- Oversee PHI/PII protection, including masking sensitive health identifiers before storage
- Drive translation and localization support for non-English-speaking members
- Lead technical design and delivery of conversational AI experiences and quality/safety management frameworks
- Own integrations for benefits and clinical chat use cases and handoffs between AI chat and human support channels
- Own the AI-powered member support chatbot, including intent recognition, RAG-based responses, and escalation to live agents
- Ensure operational health of human handover, knowledge-base synchronization, and mitigations for hallucination or mis-routing
- Manage, mentor, hire, and develop backend, frontend, and QA/automation engineers
- Run agile delivery activities including sprint planning, retrospectives, release captain rotation, regression testing, and automation maintenance
- Own production support, on-call readiness, incident response, alerting, and post-incident documentation
- Track and report AI system health metrics to engineering and product leadership
- Collaborate with Engineering Managers, the Director of Software Engineering, and Product/UX leadership on roadmaps and dependencies
Requirements:
- 5+ years of experience in software engineering, spanning backend and frontend systems
- 3+ years in an engineering management or tech lead role, managing and developing engineers
- Hands-on experience building or operating production systems using LLMs/generative AI, such as RAG pipelines, prompt/guardrail design, or agent orchestration (e.g., AWS Bedrock, OpenAI, or similar)
- Experience with conversational AI or chatbot platforms and integrating them with human escalation systems (e.g., CRM/helpdesk tools)
- Experience operating in a regulated, compliance-sensitive environment and partnering with Legal and Security on AI risk, safety, and privacy
- Experience with event-driven data pipelines (e.g., Kafka, S3, Snowflake) supporting analytics and reporting use cases
- Strong production operations background: on-call ownership, incident response, observability/alerting tooling (e.g., New Relic, PagerDuty), and load/performance testing
- Experience partnering cross-functionally with Product Management, UX, and clinical/content stakeholders on user-facing feature delivery
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- Preferred: experience with search/discovery systems, mobile platforms, translation/localization pipelines, healthcare/wellbeing/benefits technology, and evaluating or migrating conversational AI or customer support vendor platforms
Benefits:
- Equal opportunity employer committed to diversity, equity, inclusion, and belonging
- Inclusive work environment where differences are celebrated and employees of all backgrounds are empowered to thrive
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