Job description

We’re looking for a Senior Product Manager to join Procore’s Product & Technology Team. In this role, you’ll own two of the highest-leverage problems in our customer lifecycle: getting customer data into Procore in an AI-native way, and helping customers help themselves once they're in. The primary goal of this role is to reduce the operational cost of serving customers while accelerating their time to value.

As a Senior Product Manager, you will start by leading Procore Intake, our AI-powered platform for bringing customer data into Procore. Today, every customer who wants to migrate their data hits the same wall: Procore won't accept the file they have. They download a rigid template, manually reformat their data to match it, and hope it imports on the first try. It often doesn't. The result is slower go-lives, millions in support and implementation cost, and lost deals during competitive migrations off Autodesk, Sage, and Vista.

Intake flips that model. Instead of asking customers to learn our data format, we use AI to learn theirs. Customers upload the file they already have, Procore figures out the mapping, the customer reviews and confirms, and the data comes in. We're building this as a reusable platform, not a one-off fix, starting with the company directory and expanding across every major Procore data surface.

Once Intake is on a strong trajectory, you will expand into owning the AI support experience: the in-app, AI-powered help that lets customers resolve issues without waiting on a human agent. The goal is direct: reduce Procore's cost to serve while making in-product support faster and better for the customer.

This position reports to a Group Product Manager, Engagement and Adoption and will be based in our Cairo, Egypt office. In this role, you will be supported by a dedicated, engineering and design team to execute on the vision. We’re looking for someone to join us immediately.

• Own Procore Intake end to end. Drive the strategy, roadmap, and execution for an AI-assisted data onboarding platform that scales across 20+ import surfaces. Start with the directory MVP (users and vendors), prove the full workflow, then expand into project execution, financial workflows, and direct integrations with the systems customers are migrating away from.

  
  
  

• Build AI-native, not AI-flavored. Partner with our AI and data teams to deliver intelligent column mapping, confidence scoring, and a mapping library that gets smarter every time a customer uses it. The bar is reducing real customer effort, not adding AI for its own sake.

  
  
  

• Expand into the AI support experience. Take ownership of in-app, AI-powered support. Reduce dependence on human-led support by designing experiences that resolve customer issues in the product, and measure the impact on both cost to serve and customer satisfaction.

  
  
  

• Drive self-service and automation. Replace human-dependent onboarding and support workflows with product-led ones. Every flow should move a customer from stuck to productive without a meeting.

  
  
  

• Be relentlessly customer-centric. Ground every decision in real signal: customer interviews, support case data, product telemetry, and sales calls. We have tens of thousands of support cases and feature requests pointing at these problems. Your job is to turn that evidence into the right product.

  
  
  

• Measure what matters. Establish and own the metrics that prove impact: time to first successful import, import success rate, self-serve rate, support case deflection, cost to serve, and time from contract to first value.

  
  
  

• Think in platforms. Build solutions that any Procore product team can adopt rather than rebuild. The hard parts (file staging, AI mapping, orchestration, error recovery) should be solved once and reused everywhere.

  
  
  

• Collaborate across the company. Work closely with engineering, design, data science, customer success, professional services, and partner teams to ship solutions that align with Procore's broader product and business goals.

  
  
  

• Experiment and iterate. Run a tight build-measure-learn loop to test hypotheses and refine both the onboarding and support experiences toward measurable outcomes.

  
  
  

• 8+ years of product management experience, preferably within SaaS, B2B, or enterprise software environments.

  
  
  

• Proven track record of shipping product-led growth or self-service experiences that measurably reduce time to value or cost to serve.

  
  
  

• Hands-on experience building and launching AI or ML-powered product features, with a clear understanding of practical AI application.

  
  
  

• Strong data-driven mindset with documented expertise in user analytics, product experimentation, and cohort analysis.

  
  
  

• Deep platform thinking capabilities, with a history of building scalable solutions that apply across multiple products and use cases.

  
  
  

• Technical comfort navigating data-heavy problems, including file formats, data mapping, migrations, and complex integrations.

  
  
  

• Exceptional collaborative skills gained from partnering closely with engineering and design teams in fast-paced agile environments.

  
  
  

• Outstanding communication skills and stakeholder management experience, with the ability to influence and drive cross-functional alignment.

  
  
  

• Bonus: Experience in construction technology, building AI-powered customer support tools, or migrating enterprise customers off legacy systems.