Director, AI Product Management

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CentralReach

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2010

💰 Private equity en 2018-03

CentralReach offre la principale plateforme de logiciels et de services pour les soins de l'autisme et des troubles du développement intellectuel (TDI) afin d'aider les enfants et les adultes diagnostiqués avec l'autisme et les troubles du développement intellectuel et apparentés - ainsi que ceux qui les accompagnent - à réaliser leur potentiel, obtenir de meilleurs résultats et vivre de manière plus autonome.

Description

• 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) • 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Paid parental leave • Generous PTO • 401(k) matching • Career development support • Wellness programs • Hybrid work schedules