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Allocore

SaaS platform for real estate loans

Product Operations Analyst - Client Delivery, Multiple Teams

Full-Time
No salary listed
Entry, Junior, Mid, Senior
Bachelor's
Mechanicsburg, PA, USA
HybridHybrid role with at least three days per week in the office; relocation to the Mechanicsburg area is considered.
Customer Experience & SupportCustomer Support
No H1B Sponsorship
US Citizenship, US Top Secret Clearance Required

About the job

Requirements
  • U.S. citizenship is required and the candidate must be eligible to obtain and maintain a Public Trust clearance.
  • Experience in product operations, customer support, product support, implementation support, business operations, technical support, business analysis, or a related field.
  • A bachelor's degree in Business, Information Systems, Computer Science, Operations, Finance, Public Administration, or a related discipline, or equivalent relevant experience.
  • Ability to understand business needs and translate them into clear requirements, workflows, and actionable solutions.
  • Strong attention to detail and the ability to follow documented processes consistently.
  • Clear written and verbal communication skills and the ability to explain issue status and next steps to different audiences.
  • Structured problem-solving skills and comfort gathering evidence, testing assumptions, and documenting conclusions.
  • Ability to manage multiple cases, priorities, and deadlines while maintaining accurate records.
  • Ability to distinguish routine work from situations that require escalation or additional guidance.
  • Collaborative working style and comfort partnering with technical and non-technical team members.
  • Ability and willingness to learn new software platforms, case-management tools, reporting tools, and operational processes.
  • Demonstrated success resolving ambiguous issues that span users, data, product behavior, controls, and operating processes.
  • Strong root-cause analysis and process-improvement skills, with the ability to turn findings into durable corrective action.
  • Ability to analyze operational data, identify meaningful patterns, and present findings and recommendations clearly.
  • Strong stakeholder-management skills and comfort working directly with clients, partners, and senior internal stakeholders.
  • Deep expertise designing operational processes, standards, controls, service measures, and escalation models that scale across teams and programs.
  • Proven leadership of significant incidents or high-risk client situations requiring cross-functional coordination and executive communication.
  • Advanced problem-solving and systems-thinking skills, including the ability to connect individual cases to broader product, process, data, control, and organizational causes.
  • Strong analytical skills and the ability to define metrics, interpret trends, evaluate tradeoffs, and turn evidence into clear decisions.
  • Executive-level communication and facilitation skills, with credibility across technical, operational, client, program, and leadership audiences.
  • Demonstrated ability to influence without formal authority, develop others, resolve competing priorities, and create alignment in ambiguous environments.
  • Strong judgment regarding operational risk, security, privacy, compliance, and the controls needed for traceable, defensible outcomes.
Responsibilities
  • Execute defined operational processes, handle routine support and triage, document issues, maintain accurate case data, coordinate resolutions, and appropriately escalate exceptions.
  • Work closely with Product, Engineering, Operations, and program teams to help users succeed and protect service quality, compliance, and the user experience.
  • At higher levels, resolve ambiguous and higher-risk issues, perform root-cause analysis, improve workflows and processes, coordinate across operational and technical teams, coach analysts, interact directly with clients, and translate frontline evidence into durable product and process improvements while maintaining clear ownership through to resolution.
  • Occasionally participate in releases, high-priority issue resolution, or critical program activities outside standard business hours.

About the company

Allocore provides SaaS platforms that manage the closing and funding process for real estate secured loans across all 50 states and territories, with emphasis on government loan and grant programs. It handles very high volumes of applications, such as up to 500,000 per hour for the Restaurant Revitalization Fund, and administers programs like VetCert by migrating veteran certification management from the VA to the SBA. The product works by supporting loan lifecycle tasks—application intake, eligibility checks, document handling, funding orchestration, and compliance—driven by real-time data, with agile deployment and dedicated advisory support for customer teams. Its goal is to speed program throughput while reducing risk and manual effort for banks, government agencies, and large lenders, differentiating itself through high-volume deployments and hands-on client support.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Crystal City, Virginia

Founded

2007

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Simplify's Take

What believers are saying

  • August 25, 2026 Sara Parrish strengthens execution across government lending operations.
  • June 12, 2026 USDA partnership expands Allocore into rural financial assistance delivery.
  • RiverNorth acquisition broadens public-sector lending capabilities and deepens cross-sell into government programs.

What critics are saying

  • Federal procurement slows revenue; Dec. 12 USA Lending launch depends on agency adoption.
  • AI lending workflows create audit and bias scrutiny, especially after June 2026 MCP rollout.
  • USDA, SBA, and Treasury concentration creates existential budget risk if priorities shift.

What makes Allocore unique

  • Allocore One unifies loans, grants, servicing, and fraud on FedRAMP High infrastructure.
  • June 16, 2026 MCP adds AI orchestration across fragmented lending systems and workflows.
  • May 27, 2025 FedRAMP High authorization supports federal buyers with stringent security requirements.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • Hybrid Work Options
  • Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-2%
Associated Press
Aug 25th, 2026
Sara Parrish joins Allocore as managing director to scale government lending operations

Allocore, a provider of technology supporting government lending and financial programmes, has appointed Sara Parrish as managing director. Parrish will lead the expansion of Allocore's lending operations centre and drive growth across the company's public sector client portfolio. Parrish brings two decades of experience in private and public sector lending. Most recently, she served as president and chief executive officer of CampusDoor, a fintech provider of loan origination technology and programme management services. She previously held the position of chief operating officer at Incenter Lender Services. Allocore's platform, Allocore One, combines loan servicing, grant management, and fraud detection in a FedRAMP High, cloud-native environment for government agencies and financial institutions.

ExecutiveBiz
Jun 17th, 2026
Allocore adds mcp-based AI agents to its lending platform.

Allocore adds mcp-based AI agents to its lending platform. * Allocore has added a Model Context Protocol layer to its Allocore One lending platform * MCP is linking scattered borrower data so an AI assistant can pull information, coordinate actions and recommend next steps in real time * CEO Bill Webner said the technology turns fragmented lending systems into a connected intelligence network Allocore has built a Model Context Protocol, or MCP, into Allocore One, its end-to-end lending platform, enabling AI agents to work throughout the systems involved in lending and servicing via plain-language requests. The Arlington, Virginia, company announced the capability on Monday, with plans to expand it to more workflows and integrations over time. What problem does the MCP layer address? Borrower information is scattered across servicing systems, CRM and payment platforms, compliance databases, disaster-relief programs, and outside data sources. Allocore's framework turns those systems into services that AI assistants can securely reach, so an agent can find available functions, pull information, coordinate actions and support decisions rather than requiring staff or borrowers to move among separate applications. The result, the company said, is a connected intelligence layer that can assemble a single view of a borrower, surface relevant programs and recommend next steps in real time. The capability spans loan origination, servicing, billing, statements, account management and portfolio administration. "MCP technology allows us to transform fragmented lending systems into a connected intelligence network," said Allocore CEO Bill Webner, a two-time Wash100 Award winner. "Instead of forcing users to manually assemble information across multiple applications, AI can securely access relevant systems, synthesize insights, and help teams take action across the full loan lifecycle." How does this fit Allocore's federal lending business? The launch extends Allocore's product line built around federal financial assistance programs. Its Unified Loans Platform, Unified Grants Platform and Unified Fraud Platform earned Federal Risk and Authorization Management Program High authorization in May 2025, the program's most stringent security tier. The authorization follows the addition of AI to its Unified Fraud Platform in February 2025 for identity verification, risk scoring and automated document review aimed at securing federal lending and grants.

AiThority
Jun 16th, 2026
Allocore launches mcp-based AI tools to simplify lending and servicing.

Allocore launches mcp-based AI tools to simplify lending and servicing. Secure AI assistants turn plain-language requests into faster lending and servicing actions. Allocore today announced the launch of a comprehensive Model Context Protocol (MCP) infrastructure, bringing AI-native intelligence and orchestration capabilities to its end-to-end lending platform, Allocore One. The new capabilities enable lending organizations to move beyond traditional system workflows and leverage AI agents that can securely access, reason across, and act on information throughout the lending lifecycle. As lending institutions face increasing operational complexity, critical borrower information often remains distributed across servicing systems, CRM platforms, payment systems, compliance databases, disaster-relief programs, and third-party data sources. Allocore's MCP framework transforms these systems into secure, AI-accessible services, enabling AI assistants to discover available capabilities, retrieve information, coordinate actions, and support decision-making through natural language interactions. By standardizing access to data and business functions, MCPs create a connected intelligence layer across lending operations. Rather than requiring employees and borrowers to navigate multiple systems, AI can dynamically orchestrate workflows, assemble a unified borrower view, and surface relevant insights, programs, and next-best actions in real time. "Allocore is building the future of AI-enabled lending infrastructure," said Bill Webner, Chief Executive Officer at Allocore. "MCP technology allows us to transform fragmented lending systems into a connected intelligence network. Instead of forcing users to manually assemble information across multiple applications, AI can securely access relevant systems, synthesize insights, and help teams take action across the full loan lifecycle." Jun 16, 2026 Prev Next 1 of 43,106 The MCP framework extends across Allocore's platform capabilities, including loan origination, servicing, billing, statements, borrower account management, portfolio administration, and operational workflows. AI assistants can leverage these services to guide users through applications, identify relevant relief programs and lending opportunities, pre-populate information using existing system data, and help track activities across the servicing process. Key capabilities include: - Natural language access to lending, servicing, billing, and borrower account information - AI-driven discovery of relevant programs, relief options, and lending opportunities - Cross-system intelligence that combines information from multiple sources to generate recommendations - Conversational workflows that guide users through applications and servicing activities - Unified borrower insights that support proactive engagement and faster decision-making The platform enables organizations to evolve from system-centric operators into AI-orchestrated service providers. By continuously evaluating borrower circumstances and eligibility factors, AI can proactively identify opportunities for assistance, improve customer outcomes, and reduce operational friction. "AI delivers the greatest value when it is deeply integrated into the systems where work happens," added Webner. "Our MCP infrastructure creates the foundation for intelligent lending operations that are more responsive, efficient, and customer centric." The MCP infrastructure is available now as part of the Allocore One platform and will continue expanding across additional workflows, integrations, and AI-powered use cases.

Associated Press
Jun 15th, 2026
Allocore launches MCP-based AI tools to simplify lending and servicing

Allocore has launched Model Context Protocol-based AI tools for its Allocore One lending platform, enabling AI agents to access and act on information across the lending lifecycle through natural language interactions. The framework connects previously fragmented systems including servicing, CRM, payments and compliance databases. The MCP infrastructure allows AI assistants to discover capabilities, retrieve borrower information, coordinate workflows and surface relevant insights without requiring users to navigate multiple systems manually. Key features include natural language access to lending data, AI-driven programme discovery, cross-system intelligence and conversational workflows. The technology is available now as part of Allocore One, which serves government agencies, banks, credit unions and fintech partners. Chief executive Bill Webner said the framework transforms lending systems into a connected intelligence network supporting more responsive operations.

ExecutiveBiz
Dec 10th, 2025
Allocore, AWS to Develop AI-Powered Platform to Modernize Federal Lending

Allocore, AWS to develop ai-powered platform to modernize federal lending. Allocore has collaborated with Amazon Web Services to develop an artificial intelligence-powered platform aimed at streamlining access to information on the federal government's $5 trillion-plus lending portfolio, which supports homeowners, students, small businesses and communities nationwide. Register for the Potomac Officers Club's 2026 Artificial Intelligence Summit on March 19 and learn how AI is modernizing the operations of federal and defense agencies, as well as the GovCon industry. What is Allocore's new federal lending initiative? The effort is intended to address the challenges of navigating federal lending programs that rely on outdated technology, systems and manual processes, Allocore said Tuesday. The digital platform is designed to support The Center for USA Lending and provide expanded public access to federal loan programs. It combines AWS cloud computing services and Amazon Bedrock with Allocore's governance tools to enhance the speed and transparency of federal program communications to borrowers. The platform and The Center for USA Lending are set to launch on Dec. 12. What did Allocore CEO Bill Webner say about the lending program modernization effort? Allocore CEO Bill Webner, a two-time Wash100 Award winner, said in an opinion column back in November that the federal government should adopt commercial technologies to modernize 130 lending and credit programs operated across agencies. He cited the Small Business Administration's rapid pivot to a cloud platform during the COVID-19 crisis as proof that federal lending systems can be modernized quickly and effectively. And as for his company's work with AWS, Webner recently commented, "Modernizing federal lending isn't just a technical challenge. It's about delivering on a democratic promise that government can be as responsive, efficient, and innovative as the people it serves. By combining advanced AI with our expertise in federal lending technology, we're helping build a system worthy of America's ambition and future."