Product Manager - IPE

Wix makes it possible for anyone to succeed online. Since 2006, we’ve grown to around 5,300 employees in 22 countries, launched over 40 products, and serve over 299 million users and their visitors worldwide. At Wix, we push you to innovate, evolve in non-traditional ways, and collaborate. We operate in small teams that work closely together at a high level.

Although we’re already industry leaders in web creation and business, our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.

We're proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

Job Description

As a Product Manager – IPE, you'll own the full product lifecycle, working on internal tools like identity management, automation APIs, databases and AI bots. You'll collaborate across teams to deliver scalable and reliable solutions while championing a culture of self-service. In your day-to-day, you will:

• Own the full product lifecycle, including ideation, MVP, launch, and iteration for internal tools
• Map pain points across Customer Care tickets, shadow IT, and operational data, validating solutions with rapid user research and experimentation
• Define and maintain the product roadmap, prioritizing by business impact, employee delight, and tech feasibility
• Partner with engineering, IT-Ops, security, HR, and data teams to ship scalable, reliable, and compliant experiences
• Measure what matters by setting KPIs, instrumenting usage analytics, and pivoting based on data insights
• Champion a culture of self-service to reduce friction and empower employees to solve problems independently
  
  

• 3+ years as a product manager, driving technical products from zero to one and beyond
• Hands-on knowledge of identity and access protocols (OAuth 2.0, OIDC, SAML), networking fundamentals, and enterprise security best practices
• Experience with AI/LLM solutions like chatbots, retrieval-augmented generation, or prompt engineering
• Proven record of translating complex tech into crisp, actionable product requirements for diverse stakeholders
• Data-driven mindset, comfortable defining metrics, running A/B tests, and interpreting logs and dashboards
• Excellent communication and storytelling skills to sell a vision to both technical and non-technical audiences