The Product Manager will lead the strategy, roadmap, and delivery of Agentforce and Data Cloud capabilities for commercial customers. They are responsible for managing the full product lifecycle, from use-case intake and requirements definition to pilot launch and performance measurement.
The Senior Solutions Analyst acts as a bridge between business discovery and technical delivery, translating requirements into actionable solution designs. They lead discovery sessions, maintain end-to-end traceability, and utilize AI tools to support documentation and prototyping.
The Solutions Analyst translates modernized processes and technology into solutions that employees can understand and adopt. This involves participating in discovery sessions, leveraging AI tools for documentation, and creating user-facing materials like SOPs and training content.
Automate the configuration, hardening, and deployment of Windows Server infrastructure within a federal AWS GovCloud environment. Manage server upgrades, security compliance, and operational tasks using infrastructure-as-code and configuration management tools.
The Windows Server Architect leads the design and technical direction for migrating a federal client's Windows Server estate to newer versions within an AWS GovCloud environment. This role oversees the end-to-end upgrade architecture, including discovery, hardening, testing, and collaboration with DevSecOps and security teams.
You will own the DevSecOps and platform engineering ecosystem for a federal modernization program, managing both legacy and modern stacks. This includes designing CI/CD pipelines, ensuring production reliability, and leading a team of engineers to implement AI-enabled workflows.
The analyst will conduct structured reviews of current-state workflows to identify bottlenecks and design improved future-state processes. They will also develop implementation materials such as SOPs and workflow diagrams while collaborating with technical staff to integrate automation and AI solutions.
The Product Analyst will support the modernization of a federal legacy loan servicing platform by performing current-state analysis, process mapping, and requirements documentation. They will facilitate stakeholder workshops and collaborate with product teams to define future-state capabilities and integration requirements.
The Product Lead will direct the modernization of a federal legacy loan servicing platform by establishing a strategic vision and overseeing cross-functional workstreams. This role involves driving executive alignment, managing requirements, and integrating AI-enabled solutions to ensure successful platform migration and decommissioning.
Lead stakeholder discovery and requirements analysis for modernization initiatives, translating current workflows into future-state requirements, user stories, acceptance criteria, and test scenarios. Use Python and SQL to investigate data and validate business rules, coordinate user acceptance testing, and work closely with federal sponsors and technical teams through delivery.
Design, develop, and maintain scalable system architectures, ensuring performance, reliability, security, and integration across applications, infrastructure, and platforms. Provide technical leadership, collaborate with cross-functional teams, maintain technical documentation, and contribute to Agile delivery and continuous improvement.
Develop and maintain Java application code while contributing to Salesforce configuration and development within an agile team. Collaborate across backend, database, and Salesforce layers to test, troubleshoot, and document application changes.
The engineer will develop and maintain Java application code while contributing to Salesforce configuration and development within an agile team. They will also collaborate on testing, troubleshooting, and documenting changes across the backend, database, and Salesforce layers.
The AI Value Engineer will lead client engagements to scope, prototype, and deliver GenAI-powered workflows while translating business pain points into LLM-based solutions. They will also facilitate live GenAI learning experiences and build enablement materials to drive organizational adoption.
The Business Analyst will gather and document business and technical requirements to support modernization initiatives and automated data exchange. They will facilitate stakeholder working sessions to define workflows and translate needs into actionable user stories and acceptance criteria.
The AI Quality Engineer will design and implement AI-enabled solutions while establishing quality assurance frameworks to validate AI-generated code and agents. They will collaborate with DevOps teams to orchestrate workflows and ensure reliability, security, and compliance across the innovation pipeline.
The Senior Technical Writer translates complex technical decisions and architecture into clear, well-organized documentation for technical and non-technical audiences. They collaborate with cross-functional teams to maintain requirements, operating models, and design artifacts while ensuring consistency and accessibility compliance.
You will own the product backlog and roadmap for the VA Loan Guaranty modernization, translating complex policy and stakeholder needs into actionable requirements. You will drive the development process by collaborating with engineering and architecture teams to ensure high-quality, timely releases.
Lead multiple cross-functional development teams to modernize federal home loan platforms while maintaining legacy systems. Build and enforce an engineering system that ensures monthly releases with zero escaped critical defects and high automated test coverage.
The DevSecOps Engineer will assess and architect communication workflows across Salesforce, AWS, and VA Notify to ensure high-volume reliability. They will also build, test, and deploy integration components while automating security scanning within CI/CD pipelines.
The manual tester will develop and execute test plans to validate software quality across federal IT modernization initiatives. They will collaborate with cross-functional teams to identify, document, and track defects to ensure applications meet functional and usability requirements.
Lead the AI education and talent portfolio, owning the strategy, pricing, and P&L for public courses and executive workshops. Develop and scale AI training programs for mortgage practitioners while collaborating across internal divisions to drive product adoption.
Design and develop full-stack applications and microservices to support mortgage and digital lending workflows. Collaborate with stakeholders to build secure, scalable systems for loan origination, servicing, and financial data processing.
