{"schemaVersion":"jobsearcher.job.v1","id":"f3f651eb08b41ccbfc7b46db","url":"https://jobsearcher.com/jobs/f3f651eb08b41ccbfc7b46db","canonicalUrl":"https://jobsearcher.com/jobs/f3f651eb08b41ccbfc7b46db","title":"Lead Technical Process Engineer","description":"ResponsibilitiesKforce has a client that is seeking a Lead Technical Process Engineer in Doylestown, PA. Overview: The Lead Technical Process Engineer is a senior techno-functional role supporting the company's property deal underwriting and evaluation platform. This position sits at the intersection of financial modeling, business decision-making, Salesforce-based deal workflows, and AI-enabled evaluation tools built on Google Vertex. This role supports how property deals are: Evaluated Simulated under uncertainty Forecasted for long-term performance Approved or rejected based on financial value and riskThe individual will translate complex underwriting logic and financial simulations into scalable, AI-supported decision tools that influence real investment decisions. This is not an insurance underwriting role; experience must align with property, real estate, or investment deal underwriting. Business & Process Context: Deals are managed and evaluated in Salesforce Once approved at the developer level, deals move to analysts for deeper evaluation Google has already initiated POCs for AI-based underwriting evaluationThis Role Exists To Provide Dedicated Ownership For Business requirements Financial modeling logic AI tool customization with Google Business partners are primarily based in AtlantaMonte Carlo Simulations: Used to evaluate risk and uncertainty in property investment deals Runs thousands of potential scenarios by varying assumptions such as: Market conditions Revenue performance Costs Timing variablesUsed to project future financial performance of property investments: Forecasts typically include: Revenue over time Expenses Cash flows Market performance assumptions Forecasting supports long-term underwriting decisions This role validates that forecasting logic reflects realistic market behavior and business expectationsRequirementsTechnical & Platform Requirements: Salesforce (deal intake, evaluation, approval workflows): Financial modeling logic moving across: Salesforce Excel Google Gemini Enterprise Google Vertex AIUnderstanding Of Property and investment rules/regulations Real-world market feasibilityRequires Understanding Of Discount assumptions Timing of cash flowsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.","company":"Kforce","rawCompany":"kforce","city":"Dry Run","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-05-17T19:10:31.913Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Technical Process Engineer","description":"ResponsibilitiesKforce has a client that is seeking a Lead Technical Process Engineer in Doylestown, PA. Overview: The Lead Technical Process Engineer is a senior techno-functional role supporting the company's property deal underwriting and evaluation platform. This position sits at the intersection of financial modeling, business decision-making, Salesforce-based deal workflows, and AI-enabled evaluation tools built on Google Vertex. This role supports how property deals are: Evaluated Simulated under uncertainty Forecasted for long-term performance Approved or rejected based on financial value and riskThe individual will translate complex underwriting logic and financial simulations into scalable, AI-supported decision tools that influence real investment decisions. This is not an insurance underwriting role; experience must align with property, real estate, or investment deal underwriting. Business & Process Context: Deals are managed and evaluated in Salesforce Once approved at the developer level, deals move to analysts for deeper evaluation Google has already initiated POCs for AI-based underwriting evaluationThis Role Exists To Provide Dedicated Ownership For Business requirements Financial modeling logic AI tool customization with Google Business partners are primarily based in AtlantaMonte Carlo Simulations: Used to evaluate risk and uncertainty in property investment deals Runs thousands of potential scenarios by varying assumptions such as: Market conditions Revenue performance Costs Timing variablesUsed to project future financial performance of property investments: Forecasts typically include: Revenue over time Expenses Cash flows Market performance assumptions Forecasting supports long-term underwriting decisions This role validates that forecasting logic reflects realistic market behavior and business expectationsRequirementsTechnical & Platform Requirements: Salesforce (deal intake, evaluation, approval workflows): Financial modeling logic moving across: Salesforce Excel Google Gemini Enterprise Google Vertex AIUnderstanding Of Property and investment rules/regulations Real-world market feasibilityRequires Understanding Of Discount assumptions Timing of cash flowsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.","datePosted":"2026-05-17T19:10:31.913Z","dateModified":"2026-05-17T19:10:31.913Z","hiringOrganization":{"@type":"Organization","name":"Kforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dry Run","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f3f651eb08b41ccbfc7b46db"},"url":"https://jobsearcher.com/jobs/f3f651eb08b41ccbfc7b46db"}}