Director, AI Product Manager

Reposted Yesterday
New York, NY, USA
In-Office
130K-170K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Powered by purpose. Driven by people. Built to evolve.
The Role
Lead AI product strategy development, oversee AI-driven tools execution, and collaborate with technical teams for effective real estate investment solutions.
Summary Generated by Built In
Location Designation: Hybrid - 3 days per week
New York Life Investment Management ($800B+ AUM) is building AI and data science capabilities for our Real Estate Investors (REI) group, and we're hiring a senior product leader to drive it.
You will report to the Head of AI & Data Science and partner directly with the Head of Real Estate Intelligence and senior REI business leaders to define AI strategy, identify high-value opportunities, and lead 0-to-1 delivery of products that transform how the team sources, underwrites, manages, and monitors real estate investments.
The mandate is to transform a document-heavy, judgment-intensive workflow that is uniquely well-suited to modern LLM, RAG, and agentic AI applications. You will own what gets built, how it gets adopted, and how impact is measured, with executive sponsorship, direct access to end users, and a clear initial use case to anchor the work.
What you'll do
  • Define and own AI product strategy and roadmap for REI, aligned with investment priorities and the broader technology agenda.
  • Partner with investment teams and senior leadership to identify high-value AI opportunities and translate them into product concepts, requirements, and delivery plans.
  • Lead 0-to-1 development of AI products end-to-end: discovery, MVP, pilot, launch, iteration, and scaled adoption.
  • Serve as the primary bridge between business stakeholders, AI/ML engineers, data teams, and technology partners.
  • Own product outcomes, including adoption, workflow impact, efficiency gains, and decision quality.
  • Establish success metrics, adoption goals, and impact measures; ensure AI outputs are useful, reliable, and appropriate for business-critical decisions.
  • Champion practical use of LLMs, RAG, agentic workflows, and human-in-the-loop patterns, and the discipline to know when not to use them.
  • Drive change management and stakeholder communication; present strategy, roadmap progress, and measurable impact to senior leadership.

What you'll bring
  • 8+ years of experience in product management, product strategy, or technology delivery, with meaningful exposure to AI, data, or advanced analytics initiatives.
  • Track record of taking products from concept through launch and adoption in complex enterprise or financial services environments.
  • Demonstrated ability to work directly with senior stakeholders to define strategy, influence priorities, and drive execution.
  • Strong business orientation: ability to work with subject matter experts, understand workflows, identify core pain points, and translate them into scalable product solutions.
  • Working fluency in modern AI: LLMs, RAG, model evaluation, human feedback loops, and AI-enabled workflow automation.
  • Strong judgment, comfort with ambiguity, and ability to drive alignment across technical and business teams.
  • Excellent communication skills, with the ability to explain AI capabilities, limitations, and tradeoffs to both technical and non-technical audiences.

Preferred experience
  • Experience building or scaling AI, data, or workflow products in real estate, private equity, investment management, lending, or another document-heavy financial services domain.
  • Familiarity with investment workflows, such as underwriting, deal evaluation, asset management, portfolio monitoring.
  • Hands-on exposure to LLM-based products, RAG systems, agentic workflows, or human-in-the-loop review processes.
  • Experience designing metadata, taxonomy, or retrieval-oriented information architecture for enterprise document repositories.
  • Working knowledge of AWS or GCP, APIs, Python, and SQL.
  • Master's degree, MBA, or equivalent advanced professional experience.

#LI-AM1
Pay Transparency
Salary Range: $130,000-$170,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 92879

Skills Required

  • 8+ years of product management experience
  • 3+ years leading AI/ML-driven initiatives
  • Proven success collaborating with engineers to build, test, and refine AI models
  • Technical fluency in modern AI/ML systems
  • Exceptional communication and stakeholder management skills

What the Team is Saying

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New York Life Insurance Company Compensation & Benefits Highlights

  • Retirement Support 401(k) savings with company match alongside eligibility for a defined‑benefit pension in some roles underscores unusually strong retirement depth. Plan documents note vesting requirements and company materials highlight financial education around choices like Roth 401(k).
  • Healthcare Strength Comprehensive medical, dental, and vision options are paired with tools to help choose cost‑effective care, plus FSAs/HRA and mental health/EAP resources for employees and families. Well‑being programs and wellness centers or discounts reinforce access to care.
  • Parental & Family Support Paid time off, expanded paid new‑parent leave, adoption assistance, fertility support, backup childcare, and elder‑care resources indicate broad family coverage. Company recognition for family supports and ERGs signals emphasis on flexibility and caregiving needs.

New York Life Insurance Company Insights

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The Company
HQ: New York, NY
12,000 Employees
Year Founded: 1845

What We Do

At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.

Why Work With Us

New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.

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Employees engage in a combination of remote and on-site work.

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