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About the job

Overview

Who We Are

Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.

Learn even more about the work that drives us at personifyhealth.com.

Responsibilities

What You'll Do

Personify Health is seeking an Engineering Manager to lead an AI Feature team responsible for PercyIQ, our suite of AI-powered discovery and conversation experiences that help members search for and engage with health, benefits, and support content. This is a high-impact leadership role at the center of Personify Health's generative AI strategy for the member experience, combining hands-on engineering management with deep exposure to Retrieval-Augmented Generation (RAG), LLM orchestration, conversational AI, and the safety, quality, and compliance guardrails required to responsibly deploy AI in a regulated healthcare context.

You will lead a cross-disciplinary team of backend, frontend, and QA/automation engineers building and operating the AI systems behind PercyIQ. You will partner closely with Product, UX, Legal, and clinical stakeholders to ship AI experiences that are accurate, safe, measurable, and trusted — while also owning the day-to-day rigor of sprint delivery, on-call operations, and production reliability for the underlying AI platform.

AI-Powered Search & Discovery

Own delivery of PercyIQ's AI/RAG-powered search and discovery experience across Web, iOS, and Android, including agent orchestration, knowledge base ingestion, and result ranking/personalization

Lead the team through go-live readiness activities — capstone testing, pilot release monitoring, load testing, and production alerting/runbooks — for AI-driven features

Direct the build-out of analytics infrastructure to make AI feature usage measurable and reportable to product and business stakeholders

Guide implementation of AI guardrails and evaluators that keep AI responses clinically appropriate, on-brand, and grounded in trusted content, including crisis/emergency detection and routing

Oversee PHI/PII protection work such as masking sensitive health identifiers before storage, in partnership with Legal, Security, and Compliance

Drive translation and localization support so non-English-speaking members can use AI-powered features in their native language

Conversational AI & Chat Experiences

Lead technical solution design and delivery for PercyIQ's conversational AI experiences, including the AI engine/orchestration layer and an AI quality and safety management framework

Own integration strategy for benefits and clinical chat use cases and handoff flows between AI-powered chat and existing human support channels

Partner with Product and UX on conversation design, evaluating and adopting new orchestration frameworks and agent architectures as the conversational AI stack matures

Own the AI-powered member support chatbot experience, including intent recognition, generative AI/RAG-based responses, and escalation to live human agents when needed

Ensure operational health of the automated-to-human handover layer, knowledge base sync, and mitigations for AI hallucination or mis-routing, using established runbooks for recurring incident patterns

Guide the team through ongoing evaluation of the underlying support-platform architecture, balancing near-term stability with long-term platform direction

Support related PercyIQ capabilities such as personalized re-engagement dialogues, AI-driven recommendations, and member insights, partnering with adjacent teams where ownership is shared

Team Leadership & Operations

Manage, mentor, and grow a team of backend, frontend, and QA/automation engineers; own hiring, performance reviews, and career development

Run the team's agile delivery cadence — sprint planning, retrospectives, release captain rotation, regression testing, and automation maintenance

Own production support and on-call readiness for PercyIQ's AI services, including incident response, alerting, and post-incident documentation

Track and report on AI system health metrics — evaluator/guardrail performance, latency, AI service quota/throttling risk, and feature quality — to engineering and product leadership

Collaborate with peer Engineering Managers, the Director of Software Engineering, and Product/UX leadership on roadmap planning, sequencing, and cross-team dependencies

Qualifications

What You Bring to Our Team

Required

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 that use 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)

Comfort operating in a regulated, compliance-sensitive environment (healthcare, PHI/PII handling) 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 track record of production operations: 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

Preferred

Experience with search/discovery systems (ranking, relevance, personalization) at consumer or member scale

Familiarity with mobile platforms (iOS/Android) and coordinating feature parity across Web and native apps

Experience with translation/localization pipelines for global or multilingual product experiences

Exposure to healthcare, wellbeing, or benefits technology platforms

Experience evaluating or migrating between vendor platforms for conversational AI or customer support tooling

Required Education

Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.

Personify Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.

Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to talent@personifyhealth.com. View all legitimate openings at personifyhealth.com/careers.