לוח משרות דרושים מנהל מוצר AI עבודה היברידית, לחיפוש זה נמצאו 10 משרות

Were looking for an execution-focused Product Manager to own initiatives end-to-end within a complex B2B SaaS platform.
The role combines product thinking with hands-on execution: from writing requirements and aligning teams, to prototyping and occasionally shipping changes directly to production using AI-assisted tools.
This role is designed for people who want responsibility, speed, and the ability to build, not just plan.
What Youll Do
Own product initiatives from kickoff through post-release.
Translate customer and internal input into clear, actionable product requirements.
Align engineering, design, and stakeholders on scope, tradeoffs, implementation details and delivery decisions.
Own feature rollout, enablement, and activation with CS.
Build deep understanding of customer personas, use cases, and desired outcomes by running direct customer conversations, joining onboarding and support sessions.
Take hands-on ownership of features post-launch, becoming the internal product SME through customer adoption and successful use cases.
Build & ship smaller product changes directly when needed using Cursor and AI-assisted tools

We are looking for a visionary and execution-oriented AI Product Manager to shape the unified agentic experience across the Bob platform, redefining how users interact with software, complete work, and discover value through AI.
This role owns the AI product experience and agentic behavior layer of the platform, ensuring AI capabilities translate into intuitive, trusted, and high-impact workflows for customers.
Rather than simply adding AI features into existing workflows, your mission is to help define an AI-first product experience where agents, automation, orchestration, and conversational interactions become a natural part of how work gets done across HR, Finance, Payroll, and beyond.
Youll work across product, engineering, design, data, and domain teams to invent new interaction patterns, drive adoption of AI-powered workflows, and help shape the future operating model of the Bob platform.
This role is ideal for a product leader who is deeply curious about AI, actively uses AI tools in their daily work, and is excited about rethinking product experiences from first principles.
Job responsibilities
Lead the evolution and adoption of the unified agentic experience across Bob
Define AI-first interaction models, workflows, and user journeys across the platform
Shape how users discover, trust, adopt, and repeatedly engage with AI-powered workflows and agents
Drive behavioral change toward AI-first ways of working across the platform
Identify high-value cross-domain workflows and opportunities for automation
Lead discovery and experimentation around emerging AI capabilities, workflows, and interaction paradigms
Partner closely with design and engineering to invent intuitive and high-utility AI experiences
Define how agents reason, orchestrate capabilities, and execute meaningful workflows across domains
Translate advanced AI capabilities into practical and valuable customer outcomes
Use product analytics, behavioral insights, and customer feedback to continuously improve the experience
Collaborate closely with platform teams to ensure AI capabilities can effectively power customer-facing value
Help shape the long-term vision of AI across the Bob platform.

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.

Required GTM Al Product Manager
About the Role
The GTM AI Product Manager (sitting within RevOps - GTM) translates executive GTM strategy into operational AI solutions, ensuring high-impact initiatives, spanning Marketing, Sales, Partners, and Customer Growth, are successfully defined, scoped, structured, incubated, and brought to life.
Acting as the architect of these initiatives, you translate GTM leadership priorities and target business KPIs into structured execution, connecting business requirements with tech delivery, serving as a strategic bridge and an agile incubator, facilitating rapid prototyping and validation of new workflows.
Job responsibilities:
Responsibilities: Discovery, Architecture & Incubation
Requirement Gathering & Scope Definition: Partner with GTM leadership to gather complex business requirements. Define clear project objectives, use cases, and success metrics (KPIs) while ensuring initiatives stay aligned with top-down priorities.
Functional Architecture: Translate leadership vision into structured operational blueprints and business process flows that define how AI solutions will function within the GTM engine.
Feasibility & Analysis: Lead "buy vs. build" assessments, evaluating market solutions against internal development capabilities to ensure the best path for the business.
V1 Incubation: Build and validate initial prototypes (V1s) using low-code/no-code and agentic platforms to prove value and de-risk the project before scaling.
Scope Integrity: Maintain clarity of scope throughout the execution lifecycle, preventing "project drift" and ensuring technical execution meets the original business intent.
2. Cross-Functional Orchestration
Partnerships: Serve as the primary functional partner for the tech teams to bring AI solutions to production.
Requirement Synthesis: Translate gathered business needs into structured tech requirements, blueprints, and roadmap alignments.
Coordinate implementation: timelines and iteration cycles, ensuring that the final tech delivery matches the functional design and business methodologies.
3. Rollout & Field Excellence
Adoption Planning: Partner with RevOps and GTM leadership to design rollout strategies, communication plans, and enablement materials.