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Fannie Mae

Buys home loans from lenders and guarantees them

AI Product Innovation Lead - Single Family Market Engagement

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Previous experience developing, launching, or managing enterprise artificial intelligence-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 artificial intelligence-enabled product or capability through multiple stages of the product lifecycle, including discovery, business-case development, requirements definition, delivery, production launch, adoption, measurement, or optimization.
  • Working knowledge of artificial intelligence product concepts, opportunities, limitations, and risks, with the ability to collaborate 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.
  • 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.
  • Bachelor's degree or an equivalent combination of education and relevant professional experience.
  • Ability to learn and responsibly apply new technologies, including artificial intelligence.

Responsibilities

  • Take end-to-end ownership of artificial intelligence-enabled products and capabilities, including solutions already in production; define product vision and roadmap, identify customer and business needs, establish requirements, prioritize the backlog, support delivery, and drive post-launch measurement and optimization.
  • Partner with business, technology, data, risk, and program leaders to evaluate opportunities and influence the strategic direction of the artificial intelligence portfolio; use customer insights, business value, technical feasibility, risk considerations, and data to recommend priorities and communicate trade-offs.
  • Identify practical applications of artificial intelligence, including generative artificial intelligence, that improve customer and employee experiences, strengthen business processes, or create measurable operational value; convert complex technical concepts into product strategies, requirements, and recommendations.
  • Partner with legal, compliance, information security, model risk, privacy, and other governance teams to ensure artificial intelligence products are developed and operated safely, securely, transparently, and according to artificial intelligence governance standards.
  • Support organizational change management by developing communications, training resources, implementation plans, and feedback mechanisms; champion artificial intelligence products and help users apply them responsibly and effectively.
  • Create data-informed business cases defining expected benefits, costs, risks, success measures, and investment requirements to support roadmap decisions and funding approvals.
  • Define product goals and success metrics, monitor adoption and business outcomes, gather user feedback, and use findings to guide continuous improvement.

Desired Qualifications

  • Experience with generative artificial intelligence, large language models, conversational artificial intelligence, intelligent automation, machine learning products, or artificial intelligence-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.

About the Company

Fannie Mae

Buys home loans from lenders and guarantees them

Fannie Mae buys single-family and multifamily mortgages from banks, credit unions and other lenders across the United States, giving those lenders cash to make more home loans. It does not lend to homebuyers directly; instead it pools most of the loans it buys into mortgage-backed securities and guarantees investors timely payment of principal and interest. Lenders deliver loans that meet its underwriting standards, often checked through its Desktop Underwriter system. The company earns guaranty fees on the securities it backs and interest income on loans held in its portfolio. Congress chartered it in 1938, it has operated under federal conservatorship since 2008, and it is headquartered in Washington, D.C.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Washington, DC
Founded
1938

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