CentralReachRemote
Director, AI Product Management
United States of America
Full Time
2 weeks ago
$180,000 - $200,000 USD
H1B Sponsor Likely
Key skills
AI application developmentLarge Language Models (LLMs)Machine Learning (ML)Retrieval-Augmented Generation (RAG)Search relevanceEmbeddingsIndexingRankingSystem designAPIsData flowsIntegration patternsLoggingMetricsTracingAlertingIncident responseDistributed systemsBackend servicesMulti-tenant architecturesEnterprise access controlHealthcare SaaSAIMLLLMRAGSaaSCI/CDLeadershipProduct Management
About this role
CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. The Director of AI Product Management will lead the technical development of AI applications, collaborating with various teams to translate customer needs into reliable AI features and establish engineering standards for AI application development.
Responsibilities:
- Serve as the technical lead for AI application development within the AI Foundry, setting standards for code quality, architecture, and delivery
- Lead by doing: design and implement core AI application components, critical services, and integration layers
- Mentor AI engineers; raise the bar on engineering rigor and AI-specific best practices
- Establish quality thresholds and release criteria (accuracy, latency, reliability, cost, and user trust)
- Design safeguards and “safe failure modes”: fallback behaviors, confidence thresholds, user controls, content filtering, and transparency patterns
- Build AI-powered product capabilities end-to-end (service + workflow integration + instrumentation), including LLM-enabled workflows, RAG, summarization, classification, and automation patterns
- Build and maintain shared libraries/components for AI application development (prompt/tooling patterns, service templates, evaluation utilities, safety layers)
- Own technical readiness for production: reliability, observability, performance tuning, and incident response preparedness
- Collaborate with platform Engineering and DevOps to ensure CI/CD and environment consistency, scaling strategies, cost controls for inference and secrets management and secure data handling
- Partner tightly with AI product builders and workflow Product owners to translate validated prototypes into production implementations
- Collaborate with core engineering teams to integrate AI capabilities into CentralReach’s main platforms
- Identify and prioritize foundational investments that increase delivery velocity and reduce long-term maintenance: reusable components, platform primitives, and standardized patterns
- Evaluate build vs. buy decisions for AI tooling and recommend approaches aligned to CR constraints
- Stay current with AI application engineering practices and help translate emerging techniques into safe, valuable product capabilities
Requirements:
- Bachelor's degree or equivalent work experience
- 10+ years of professional software engineering experience, with principal-level scope and demonstrated technical leadership
- Strong experience building and operating production distributed systems and backend services
- Demonstrated hands-on experience delivering AI/ML-powered product features (LLMs and/or traditional ML), including evaluation and monitoring
- Experience with retrieval systems and search relevance (RAG, embeddings, indexing, ranking, evaluation)
- Strong system design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
- Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
- Ability to communicate technical concepts clearly to product, design, and executive stakeholders
- Experience in a healthcare SaaS environment
- Familiarity with multi-tenant architectures and enterprise access control models
- Experience building internal platforms/tooling that improve developer experience and standardize best practices