Sr. Specialist, Yield Management - GTM AA Software Engineer

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories and services for virtually every vocation, backed by technology and engineered for uptime. A true one-stop shop, we offer a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.

In this position...

As a Senior Specialist - Software Engineering, you will serve as a core technical anchor within an agile, high-caliber AI engineering team. In this role, you will transcend traditional software development to architect and deploy sophisticated, agentic AI solutions engineered to optimize yield management, dynamic pricing strategies, C&I strategies, etc.

This highly technical, hands-on position demands a unique synthesis of rigorous, enterprise-grade software engineering discipline and advanced artificial intelligence capabilities. Leveraging an extensive background in both Java (Spring Boot) and Python (Flask), you will design resilient backend architectures and operationalize complex, data-driven AI solutions within the Google Cloud Platform (GCP) ecosystem.

On the frontend, you will deliver highly interactive analytics dashboards and intuitive user interfaces utilizing Plotly Dash, Dash Mantine Components, AG Grid, React, and Angular. Crucially, you will accelerate engineering velocity and lead developer productivity initiatives through the strategic integration of AI-assisted development workflows, including GitHub Copilot, Model Context Protocol (MCP) frameworks, and rapid prototyping techniques.

Drawing upon your established expertise in the automotive finance, eCommerce, and pricing domains, you will translate intricate business logic into elegant, automated, and predictive agentic workflows. If you are a driven technologist passionate about high-velocity execution, cloud-native automation, and delivering measurable financial impact, this role offers an unparalleled opportunity to shape the future of intelligent financial systems.

What you'll do...

• Hands-on Full-Stack Development: Architect, build, and maintain high-performance, enterprise-grade applications, spending the majority of your time actively writing clean, secure, and optimized code in Java (Spring Boot, JPA, Kafka) and Python (Flask, Pandas, NumPy).
• Interactive Data Visualization: Design and build cutting-edge data science and pricing optimization dashboards using Plotly Dash, Dash Mantine Components, AG Grid, React JS, and Angular.

• AI-Assisted Engineering & Prototyping: Pioneer and champion the use of AI-assisted development tools (e.g., GitHub Copilot, MCP integrations, and LLM-assisted engineering) to rapidly prototype internal AI-powered tools and accelerate team-wide developer productivity.

• Domain Integration: Apply Ford finance, pricing, and yield management domain knowledge to design systems that accurately reflect complex financial constraints and opportunities.
• Cloud-Native Architecture (GCP): Deploy, scale, and manage containerized applications on Google Cloud Platform, utilizing GCP Cloud Run, BigQuery, Docker, and OpenShift/Kubernetes.

• Infrastructure & CI/CD Automation: Define and implement robust infrastructure-as-code using Terraform and establish automated deployment pipelines utilizing Tekton or Jenkins.

• Collaborative Innovation: Work closely within a tight-knit, agile team of AI engineers and business stakeholders to drive immediate business value.

• Technical Leadership & Governance: Work closely with business SMEs, data scientists, and architects to define solution architectures, non-functional requirements (NFRs), and robust security integrations (including Azure AD authentication and RBAC).

What you'll have...

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a highly related engineering field 
• Experience: Minimum of 10+ years (with a strong preference for 15+ years) of professional software engineering experience, spanning full-lifecycle enterprise application delivery from architecture to production support.
• Domain Expertise: Proven experience within the automotive pricing, dynamic pricing, or vehicle yield management domains (experience with Ford-specific pricing and sales systems is highly preferred).
• Backend Mastery: Strong, hands-on expertise in Python (Flask, Pandas, NumPy) and Java/J2EE (Spring Boot, Spring REST, Spring JPA, Kafka, microservices).
• Frontend & Dashboarding: Proven expertise in building enterprise analytics dashboards using Plotly Dash, Dash Mantine Components, and AG Grid, alongside experience in React JS and Angular.
• AI-Assisted Tooling: Demonstrated experience using AI-assisted development workflows, including GitHub Copilot, MCP (Model Context Protocol) frameworks, and rapid prototyping techniques.

• GCP & DevOps: Hands-on experience with GCP (Cloud Run, BigQuery, GCS), containerization (Docker, OpenShift/Kubernetes), infrastructure-as-code (Terraform), and CI/CD pipelines (Tekton).

Even better you'll have...

• Experience building autonomous AI agents, multi-agent frameworks (e.g., LangChain, CrewAI, AutoGen), or vector database integrations.
• Strong understanding of MLOps pipelines on GCP.
• Experience with workflow orchestration tools like Apache Airflow or Astronomer.

• Familiarity with event-driven architectures and streaming data.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 8 and ranges from $115,000-$192,900.   

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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