דרושים Product Manager, AI Platform בתל אביב

Port is an open, flexible internal developer portal designed to streamline everything developers need to know to deliver software more productively and comply with organizational standards.

Every company's software standards, platform, and developers are unique. Port enables platform engineers to unify and present all the tools in their platform, allowing developers to work efficiently with clear guidance along the golden paths established collaboratively with stakeholders including security teams, SREs, and management.

From onboarding new developers to setting up microservices, performing daily operations to monitoring DORA and engineering metrics across the organization, Port is the only developer portal with the total flexibility to handle all customers' unique platforms and standards, without the cost and complexity of building from scratch.

As a product-led company, we believe the recipe for success is building an innovative, world-class product that speaks for itself and provides exceptional value to our customers. Together with their teams, our product managers directly impact company growth by defining the future of our product.

**We are seeking a Product Manager for Port’s AI Platform, to lead Port's most critical evolution: the transformation to an Agentic Platform.

This role operates as a "Startup within a Startup." You will own the end-to-end AI domain, from building the underlying technical infrastructure to launching the interfaces our customers interact with.

You will drive the entire product lifecycle: bringing innovative ideas to the table, executing on early versions, and collaborating closely with internal teams and design partners to validate value. Your ultimate goal is to mature these capabilities from early concepts into core platform standards, driving mass adoption across our entire user base.

You will serve as the knowledge center for the organization, guiding how the entire platform must evolve to support the next generation of autonomous engineering.

What You Will Be Doing

• Lead Port's AI product domain from ideation to launch of customer-facing AI interfaces and agents
• Design and manage Port's AI Agents platform, enabling customers to create, manage, and run AI agents
• Drive ecosystem initiatives to make the platform native to agents through API improvements, MCP integration, and agent-accessible protocols
• Define strategic direction for making Port "AI-Native," guiding data architecture for effective AI agent interaction
• Own product roadmap and prioritization, balancing immediate needs with long-term Agentic architecture investments
• Advocate across product and R&D teams to integrate AI-native interfaces and drive AI-first development mindset
• Identify high-impact opportunities through customer discovery and experimentation with cutting-edge AI technologies
• Collaborate with engineering and design to translate AI capabilities into intuitive, trust-building user experiences
• Analyze adoption metrics and feedback to optimize AI performance and increase trust in autonomous workflows
• Act as company AI center of excellence, enabling Sales, Marketing, and CS teams to articulate Agentic Engineering value

Requirements:

• Bachelor's degree in Engineering, Computer Science, or related technical field
• Minimum 4 years of product management experience or technical leadership roles with a proven track record in delivering impactful technical products
• Deep technical understanding of how systems interact and how data architectures must evolve in the era of AI
• Comprehensive understanding of the complexities of ACL, context, and LLM capabilities
• Hands-on practitioner with high curiosity for continuous learning
• Daily user of AI tools, from coding assistants to Agentic IDEs with passion for applying this knowledge to integrate AI agents into workflows that solve real friction points
• Passionate about building exceptional user experiences with a keen eye for details, UX, and design
• Holistic thinking about features, considering legal, security, privacy, and cost implications of deploying AI applications at scale
• Exceptional communication skills with the ability to explain complex product decisions rationally and inspire teams
• Analytical mindset with experience working with both qualitative and quantitative insights to drive product decisions

Preferred Qualifications

• Previous experience as a developer or DevOps engineer
• Strong familiarity with the AI ecosystem, including evolving protocols, agent platforms, LLMs, and emerging AI technologies
• Experience in integrations, ecosystem product management, or data product management