Senior Manager leading AI Strategy & Operations at Talkiatry, enhancing patient interactions through AI solutions. Driving strategic and hands-on execution across technology, design, and operations.
Responsibilities
Partner with Product and Engineering leadership to define Talkiatry’s long-term AI infrastructure strategy, ensuring interoperability across platforms (Genesys, ServiceNow, Talkiatry core platforms, Snowflake, LLMs).
Gather and translate patient needs and agent workflows into AI product requirements (voice and text), defining intents, escalation paths, and response hierarchies that balance safety, automation, and empathy.
Evaluate emerging technologies to guide the roadmap for AI tooling, model management, and automation pipelines.
Ensure every AI initiative advances Talkiatry’s goals of access to care, quality, and workforce efficiency.
Champion responsible AI principles in vendor selection, governance, and deployment practices.
Own day-to-day AI performance through platform dashboards, tracking metrics such as containment rate, CSAT, response accuracy, and resolution efficiency.
Conduct root-cause analyses on performance deviations, partnering with Product, Engineering, and Ops to translate results into model or workflow improvements.
Surface performance insights to the Quality & Training team for incorporation into AI retraining, QA frameworks, and knowledge base updates.
Maintain governance documentation for model versions, updates, and validation to ensure transparency and compliance.
Oversee the AI-facing knowledge infrastructure, including taxonomy design, content ingestion workflows, and integration of source-of-truth systems.
Define and maintain prompt engineering and response standards for AI agents and copilots.
Collaborate with the Quality & Training team, who owns content creation, article optimization, and training for human and AI learners.
Build structured feedback loops from frontline teams and Operations to refine prompts, content, and knowledge architecture.
Establish unified processes for testing, version control, and model retraining tied to knowledge updates.
Lead full-lifecycle AI implementations, from scoping and vendor selection to pilot, launch, performance tracking and optimization.
Manage AI vendor relationships, holding partners accountable to performance and timely delivery.
Develop clear project roadmaps, success metrics, and communication plans across Product, Engineering, and Operations.
Collaborate on documentation, training materials, and rollout support for internal and external stakeholders.
Requirements
7+ years of experience in product management, process automation, or technology operations, with hands-on experience applying AI or large language model (LLM) solutions to real-world workflows.
Proven success delivering large-scale AI or automation projects from concept through deployment.
Strong understanding of conversational AI platforms and voice/text agent design principles, with the systems thinking to architect how AI connects across data, telephony, CRM, and workflow tools (e.g., APIs, integrations, enterprise systems).
Highly analytical with experience in product and operational analytics.
Skilled at translating business and user requirements into technical specification; experience in product management, technical program management, or systems enablement preferred.
Exceptional project management and vendor management capabilities; thrives in cross-functional environments.
Excellent communication skills – clear, structured, and equally fluent with technical and non-technical stakeholders.
Committed to ethical AI practices and data integrity in healthcare contexts.
Benefits
Excellent benefits: medical, dental, vision, effective day 1 of employment
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