CONTRACTOR: Forward Deployed Engineer, Pendo Predict - Pendo.io

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. 2+ 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. Excellent written and verbal communication skills in English. Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Background in data, analytics, or BI - analytics engineering, data analysis, BI development, or data science. Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values).

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. 2+ 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. Excellent written and verbal communication skills in English. Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Background in data, analytics, or BI - analytics engineering, data analysis, BI development, or data science. Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values).

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. 2+ 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. Excellent written and verbal communication skills in English. Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Background in data, analytics, or BI - analytics engineering, data analysis, BI development, or data science. Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values).