Director, AI Product Management

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CentralReach

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2010

💰 Private equity im 2018-03

CentralReach bietet die führende Software- und Dienstleistungsplattform für Autismus- und IDD-Pflege, um Kindern und Erwachsenen mit Autismus sowie verwandten intellektuellen und entwicklungsbezogenen Behinderungen - und denjenigen, die sie betreuen - Potenziale zu erschließen, bessere Ergebnisse zu erzielen und ein unabhängigeres Leben zu führen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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