Michael S

AI Product Manager with 15+ years of experience owning complex software platforms and leading AI-driven workflow intelligence, including LLM-powered automation, process mining–based bottleneck analysis, predictive risk modeling, and computer vision initiatives. Experienced integrating OpenAI and Claude models into production systems, designing human-in-the-loop AI architectures, and translating structured operational data into actionable predictive insights. Former developer with deep technical fluency across APIs, system architecture, data pipelines, and ML-driven workflow optimization.

AI Product Manager at XCube Robotics (2024-07 – 2026-02)

Own strategy and execution for multiple SaaS platforms, leading AI-driven workflow intelligence, predictive risk modeling, process mining–based bottleneck analysis, and computer vision systems.

• Designed and implemented LLM case analysis workflows using OpenAI to automate review of denial emails and legal documents.
• Integrated AI into production email to extract structured data from unstructured emails and attached PDFs.
• Built AI-generated response drafting system with human review safeguards before submission.
• Designed automated follow-up logic triggered by AI-detected deadlines within legal correspondence.
• Defined evaluation criteria and guardrails to mitigate hallucination risk and ensure production reliability.
• Led prompt iteration cycles to improve output consistency and reduce manual corrections.
• Architected human-in-the-loop validation workflows to balance automation with compliance risk.
• Led integration of YOLO-based object detection models for drone-based search and rescue image analysis.
• Designed AI-assisted image triage workflow with confidence thresholds and crowd validation loops.
• Built feedback loop enabling volunteers to improve AI detection quality through labeled corrections.
• Defined trust and moderation systems to prevent malicious input and maintain dataset integrity.
• Implemented Claude + Linear + GitHub workflow to accelerate PRD-to-code cycle.
• Established AI-assisted generation of atomic user stories and acceptance criteria.
• Reduced product documentation turnaround time through structured AI automation.
• Led process mining initiatives to reconstruct end-to-end case workflows from system event logs, uncovering bottlenecks, rework loops, and SLA violations across operations.
• Performed conformance analysis to compare intended workflow against actual execution paths, identifying deviation patterns and inefficiencies.
• Partnered with engineering to instrument event logging and ensure reliable activity tracking for workflow analysis.
• Translated insights into product changes and improved operational efficiency.
• Designed and deployed XGBoost-based predictive models to forecast delay risk and escalation likelihood using structured data.
• Defined strategy incorporating historical performance metrics, approvals, queue, and behavioral signals.
• Collaborated with engineering to implement model training and evaluation pipelines.
• Integrated risk scoring into workflow systems to ensure SLAs are met.
• Established monitoring and periodic retraining to maintain reliability.

Product Line Manager at Thales Avionics (2021-08 – 2024-07)

Owned roadmap and delivery for large-scale digital platforms deployed globally across airline entertainment and services ecosystems.

• Led product strategy and deployment of an AI-powered chatbot integrated into inflight digital platforms to assist passengers with navigation, FAQs, and service discovery.
• Partnered with engineering teams leveraging AWS SageMaker for model hosting and iteration of conversational AI models.
• Defined conversational flows, fallback handling, and escalation logic to mitigate incorrect or low-confidence AI responses.
• Designed evaluation criteria to improve response accuracy and reduce user friction in real cabin environments.
• Owned development of recommendation engine delivering personalized content suggestions based on passenger interaction data.
• Worked with ML teams to define feature inputs, ranking logic, and success metrics for personalization models.
• Balanced AI-driven personalization with performance constraints and airline compliance requirements.
• Owned roadmap and prioritization across platform reliability and innovation.
• Coordinated cross-functional delivery across engineering, QA, airline stakeholders, and operations.
• Communicated AI capabilities and limitations clearly to executive and airline partners.

Senior Technical Product Manager at Betria Interactive (2019-08 – 2021-08)

• Owned solution strategy and roadmap for SaaS platforms with strict availability, reliability, and scalability requirements.
• Served as Product Owner for Agile teams, defining epics and user stories aligned with platform health and long-term maintainability.
• Accountable for $24M in product and service revenue, balancing feature delivery with system stability and operational excellence.
• Coordinated releases involving internal teams and third-party vendors, ensuring readiness across APIs and dependent systems.
• Established reporting and visibility into platform performance to support data-driven prioritization.

Senior Technical Product Manager at Panasonic Avionics Corporation (2011-11 – 2019-08)

• Led product strategy and lifecycle management for large-scale platform software deployed across 200+ airline programs worldwide.
• Owned end-to-end platform evolution including roadmap planning, release execution, production support, and system sunsetting.
• Partnered closely with engineering and QA teams on defect triage, prioritization, and release readiness for complex, distributed systems.
• Managed third-party vendors to ensure technical compliance, data integrity, and platform reliability.
• Mentored junior product managers on technical product ownership, prioritization, and cross-team execution.

Technical Product Manager at Telecommunication Systems Incorporated (2007-02 – 2011-11)

• Defined product strategy and technical requirements for SaaS platforms supporting navigation, telematics, and location-based services.
• Led cross-functional teams through requirements definition, prioritization, testing, and production releases.
• Partnered closely with engineering and QA on defect triage, compliance validation, and release approvals.
• Supported enterprise customers through demos, technical discussions, and roadmap planning.

Bachelor of Science in Computer & Electrical Engineering – University of California, Irvine