AI Product Innovation Lead - Single Family Market Engagement
Fannie Mae· enterprise· Financial Services· Aug 10, 2026 · 3mo agoPosted 78 days ago
Washington DC
In office
Full-time
Lead
$147K–$207K est.
Before you apply
Ghost Signal:
Open 78 days.
Job description
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a valued colleague on our team, you will lead the development, delivery, and ongoing evolution of innovative products that support Fannie Mae’s Single-Family business. You will provide product leadership and expert guidance throughout the product lifecycle—from identifying customer and business needs through implementation, adoption, measurement, and continuous improvement.
THE IMPACT YOU WILL MAKE
The AI Product Innovation Lead - Single Family Market Engagement will play a key role in advancing artificial intelligence capabilities for the Single-Family Market Engagement team and other technology products supporting Fannie Mae’s Single-Family business.
In this role, you will combine AI product experience, strategic thinking, customer focus, and cross-functional leadership to translate complex business needs into responsible, scalable, and valuable product capabilities. You will work alongside colleagues who care deeply about Fannie Mae’s mission while having the flexibility to shape how you deliver on the following responsibilities:
Lead AI product strategy and ownership: Take end-to-end ownership of AI-enabled products and capabilities, including solutions already in production. Define the product vision and roadmap, identify customer and business needs, establish requirements, prioritize the backlog, support delivery, and drive post-launch measurement and optimization.
Shape the AI roadmap: Partner with business, technology, data, risk, and program leaders to evaluate opportunities and influence the strategic direction of the AI portfolio. Use customer insights, business value, technical feasibility, risk considerations, and data to recommend priorities and clearly communicate trade-offs.
Translate AI opportunities into product outcomes: Identify practical applications of AI, including generative AI, that improve customer and employee experiences, strengthen business processes, or create measurable operational value. Convert complex technical concepts into clear product strategies, requirements, and recommendations.
Champion responsible AI: Partner with legal, compliance, information security, model risk, privacy, and other governance teams to ensure AI products are developed and operated safely, securely, transparently, and in accordance with Fannie Mae’s AI governance standards.
Drive adoption and change: Support organizational change management by developing communications, training resources, implementation plans, and feedback mechanisms. Serve as a visible champion for AI products and help users understand how to apply them responsibly and effectively.
Develop business cases: Create compelling, data-informed business cases that define expected benefits, costs, risks, success measures, and investment requirements. Use these business cases to support roadmap decisions and funding approvals.
Measure product performance: Define product goals and success metrics, monitor adoption and business outcomes, gather user feedback, and use findings to guide continuous improvement.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experience
Previous AI product experience is required for this position. Candidates must have demonstrated experience developing, launching, or managing enterprise AI-enabled products or capabilities in a production environment.
At least four years of experience in product management, product ownership, or a closely related product leadership role.
Demonstrated experience taking at least one enterprise AI-enabled product or capability through multiple stages of the product lifecycle, such as discovery, business-case development, requirements definition, delivery, production launch, adoption, measurement, or optimization.
Working knowledge of AI product concepts, opportunities, limitations, and risks, including the ability to collaborate effectively with engineering, data science, machine learning, architecture, security, risk, legal, and business teams.
Experience defining product strategy, developing roadmaps, prioritizing backlogs, writing requirements or user stories, and supporting Agile product delivery.
Proven ability to translate complex business and technical information into clear recommendations, decisions, and communications for technical and nontechnical audiences.
Experience leading cross-functional initiatives and building alignment among stakeholders with different priorities, perspectives, and areas of expertise.
Experience using product management and collaboration tools such as Jira, Confluence, Azure DevOps, or comparable platforms.
Demonstrated curiosity, sound judgment, and adaptability in evaluating and responsibly applying emerging technologies.
Bachelor’s degree or an equivalent combination of education and relevant professional experience.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
Desired Experience
Experience with generative AI, large language models, conversational AI, intelligent automation, machine learning products, or AI-enabled decision-support tools.
Experience developing or managing sales enablement, customer engagement, workflow, or employee productivity products.
Familiarity with major customer relationship management platforms, such as Salesforce
Experience with digital product design, user research, service design, or customer-experience methodologies.
Experience developing product analytics, adoption measures, experimentation strategies, or outcome-based performance metrics.
Experience supporting organizational change management, product launches, user training, or enterprise technology adoption.
Experience in financial services, housing finance, mortgage lending, or another regulated industry is helpful but not required.
#LI-Hybrid
Single Family Market Engagement - Product Management - Lead Associate
Qualifications
Education:
Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee s physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
123000 to
161000
Application prep
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