CONTRACTOR: Forward Deployed Engineer, Pendo PredictNew

The opportunity

Pendo Predict helps companies act on customer behavior before problems surface. We build custom predictive models — churn, upsell, expansion, and more — on top of product usage, CRM, and data warehouse data, and put those insights directly into the workflows of CS, Sales, and Product teams.

What you'll do

  • Run technical discovery with customers to assess product analytics maturity,: data availability, and business processes — and use that to set realistic implementation expectations and position Predict for their stage.

  • Work hands-on with customers to design the data model and define the business: metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices.

  • Build and present compelling predictions in the prospect's own domain: explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams.

  • Guide customer IT and data teams through integration steps, optimize model: parameters for each customer's specific context, and diagnose and resolve blockers quickly — data quality issues, configuration gaps, and expectation misalignments included.

  • Help customer teams translate predictions into actions and playbooks;: document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes.

  • Identify and enable champion users to evangelize Predict internally: and channel field learnings back to Product and Engineering to shape the roadmap.

What they're looking for

  • + years of experience in a pre-sales engineering, technical account: management, or similar customer-facing technical role in B2B SaaS.
  • Strong, hands-on SQL: comfortable exploring unfamiliar schemas, building data models, and validating data quality in live customer environments.
  • Ability to run technical discovery and communicate complex concepts credibly: to both business stakeholders and data or engineering teams.
  • Comfort with ambiguity and ownership: you can create momentum on problems that aren't fully defined without waiting for someone to scope it for you.