דרושים » AI » דרוש /ה מנהל /ת פרויקטים AI

Were looking for a structured, tech-savvy CX Knowledge & AI Chatbot Manager to join the CX Delivery team.
This role sits at the intersection of AI chatbot operations, knowledge management, and CX delivery. Youll primarily own and optimize Support AI Agent (chatbot) and help strengthen the knowledge and content ecosystem that powers both AI and human support.
Were looking for someone with hands-on experience in chatbot management and knowledge systems - not just general CX experience. You should be comfortable working with chatbot flows, intents, and automation logic, as well as structured Help Center or Community content.
This is not a writing-heavy role. Its an enablement role focused on connecting knowledge sources, improving automation performance, and scaling self-service intelligently. In addition to chatbot and knowledge ownership, you may also contribute to broader CX Delivery initiatives such as workflow improvements, automation projects, and operational enhancements as business needs evolve.
AI & Chatbot Management (Primary Focus):
Configure, maintain, and optimize the AI chatbot (Zendesk AI Agent)
Manage chatbot instructions, use cases, workflows, intents, and data sources
Review conversations to identify gaps, fallback patterns, and improvement opportunities
Monitor performance metrics (deflection, customer experience, CSAT/BSAT, routing accuracy)
Ensure alignment between AI logic, tone of voice, and product updates
Knowledge / Content Governance (Primary Focus):
Maintain knowledge structure and taxonomy across Help Center, Community, and AI knowledge layers
Ensure synchronization between customer-facing content, agent knowledge, and chatbot use cases
Identify content gaps using ticket trends and AI insights
Collaborate with CX and Product enablement stakeholders to maintain accuracy and clarity
Continuous Improvement & CX Delivery Support:
Turn AI and support insights into structured improvements
Support automation and workflow optimization initiatives
Contribute to scalable CX Delivery project and various, team objectives, goals and tasks as needed
​Success Looks Like:
Chatbot experiences are accurate, well-maintained, and continuously improving
AI performance improves through structured knowledge alignment
Knowledge content is unified, searchable, and up to date
Automation reduces support load while maintaining strong customer experience
CX Delivery initiatives scale efficiently and predictably.

looking for an R&D Operations Manager to be the operational backbone of our Product and Engineering organization. You'll own how we plan, build, and ship designing processes, leading strategic projects, driving automations and AI-powered workflows, and ensuring every team is aligned and moving fast. You'll be the connective glue across Product, Engineering, Design, CS, and GTM - the person who creates order from chaos and measurably increases our velocity.

Responsibilities

Lead Strategic Projects & Planning Own quarterly planning cycles, roadmap governance, and the most critical cross-functional initiatives end-to-end. Ensure 100% traceability between business goals and what we build. You don't just facilitate - you drive outcomes.
Increase Product & Dev Velocity Design and enforce processes that make squads ship faster. Identify bottlenecks, streamline workflows, and measure the impact. If it slows us down, you fix it.
Jira Governance & Dev KPIs Full ownership of Jira - boards, workflows, automations, hygiene, and reporting across all squads. Build and maintain dashboards for velocity, cycle time, throughput, and release predictability. You're self-sufficient - no engineering help needed.
Automations & AI-Powered Workflows Automate manual toil across the product org. Operationalize AI tool adoption. Eliminate repetitive work so PMs and engineers focus on high-value output, not process overhead.
Cross-Functional Alignment & Enablement Be the connective tissue between Product, Engineering, Design, Data, CS, GTM (including PMM, Professional Services, and Pricing), and Finance. Own release coordination and CS enablement - zero surprise launches, ever.
Tooling, Analytics & Knowledge Management Own the product tool stack (Jira, PostHog, Notion, AI tools) and the budget for product tools and operations - drive ROI through smart vendor selection and consolidation. Ensure PMs have self-serve access to data. Maintain a centralized knowledge base as the single source of truth.

Were hiring a Director of Engineering to lead our agentic capabilities across the platform, including the AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software-through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments.
As a Director of Engineering, you will...
Lead the engineering group delivering AI capabilities across the platform, powering customer-facing agentic experiences at scale
Shape the vision and drive the execution for AI Assistant, MCP Server, and platform-wide agent workflows
Ship enterprise-grade AI-secure, reliable, and observable-running in SaaS and self-hosted environments
Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact.

We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities:
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers our next generation of products.
This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.
You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.
This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.
Job responsibilities:
Own key parts of the AI platform roadmap, balancing foundational investments with product impact
Help define reusable AI capabilities (e.g., retrieval, embeddings, scoring, agent tooling)
Contribute to shaping how we evaluate, monitor, and improve AI systems in production
Partner closely with engineering on architecture and technical tradeoffs Support the definition of governance and control mechanisms (quality, safety, cost, transparency)
Work with product teams to enable adoption of AI capabilities across the platform
Improve developer and product team experience when building AI features
Contribute to defining standards, best practices, and ways of working for AI across
What makes this role interesting:
You will work on foundational systems that impact multiple product areas
You will help shape how AI is built and used across the entire platform
You will collaborate across teams and influence both product and technical direction
You will operate in a fast-evolving domain with real opportunity to define how things should work.