Lead Product Manager

Tel Aviv | Full-Time | On-Site

The Role

We are looking for a hands-on Lead Product Manager to own the end-to-end product lifecycle from concept through development and launch - across both our SaaS platform and marketplace.

This role works closely with the CEO, Sales, and VP of R&D to translate business needs into scalable product solutions. Beyond traditional product management, we are specifically looking for someone who deeply understands how to implement AI into real-world products, actively uses AI tools in their personal workflow, and can lead teams in adopting AI-first product thinking and execution.

You will be responsible for managing technical requirements, product-market fit, AI-driven workflows, ERP integrations, and product strategy while maintaining a strong understanding of procurement, manufacturing, and logistics domains.

The ideal candidate is product-driven, execution-focused, highly technical, AI-oriented, and thrives in fast-paced, early-stage environments.

Key Responsibilities

• Product Ownership: Own and drive the full product roadmap - from ideation to execution - across SOURCIX’s SaaS and Marketplace platforms.
• AI Product Leadership: Lead the implementation of AI capabilities across the platform, including workflow automation, intelligent matching systems, AI-assisted user experiences, data analysis, and operational optimization.
• AI Culture & Adoption: Guide internal teams in adopting AI tools and AI-first work methodologies. Help create a culture where AI is integrated into product thinking, execution, research, and day-to-day operations.
• Cross-Functional Collaboration: Work closely with the CEO, Sales, and VP of R&D to align product initiatives with company goals and customer needs.
• Customer & Market Insights: Engage with users, prospects, and internal stakeholders to gather insights and translate them into detailed user stories, product specifications, and scalable workflows.
• ERP Integration: Lead the development of integrations with enterprise systems (Oracle, SAP, NetSuite, etc.), ensuring seamless data flow and customer experience.
• Technical Communication: Translate business needs into technical requirements and work directly with engineering and design teams to bring features to life.
• Product Validation: Run discovery, validation, and testing cycles to ensure strong product-market fit, usability, and customer satisfaction.
• Process & Delivery: Ensure efficient sprint planning, backlog grooming, prioritization, and timely delivery of features in partnership with engineering teams.
• Performance Tracking: Use data and analytics to monitor product performance, identify optimization opportunities, and drive continuous improvement.

Requirements

• 5+ years of experience in Product Management within a B2B SaaS company.
• Proven experience working with ERP systems like Oracle, SAP, NetSuite (must-have).
• Strong understanding of AI tools, AI workflows, and implementing AI into software products.
• Personal hands-on usage of AI tools for productivity, research, automation, product development, or operational workflows.
• Ability to guide and mentor teams in adopting AI technologies and AI-driven work processes.
• Background or strong familiarity with procurement, manufacturing, supply chain, or logistics.
• Strong understanding of technical systems and the ability to communicate effectively with engineering teams.
• Experience defining and delivering products in fast-paced startup environments.
• Ability to manage complex projects independently, balance multiple priorities, and lead cross-functional initiatives.
• Excellent written and verbal communication skills with strong business and customer empathy.
• Highly organized, analytical, execution-oriented, and product-focused.

Advantages

• Experience working with mechanical or industrial procurement platforms.
• Understanding of custom manufacturing processes (machining, sheet metal, casting, etc.).
• Previous experience in a company that scaled from early stage to growth.
• Familiarity with marketplace platforms or two-sided product ecosystems.
• Strong UX/UI understanding and product discovery skills.
• Experience building AI-native or AI-first products.
• Familiarity with LLMs, AI agents, automation tools, and AI-assisted product workflows.