Interested in this AI Product Manager role at Citi?
Apply Now →About This Role
Discover your future at Citi
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Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
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Issuer Services — one of the world's leading providers of corporate trust, depositary receipt, and debt capital markets services, administering more than US $9\.0 trillion in assets under trust for over 3,500 clients globally. This is a high\-impact, commercially grounded role at the centre of Citi's push to build a natively digital Issuer Services business — translating strategic AI ambitions into disciplined product delivery that creates measurable value for clients and internal teams alike. You will operate across the full product lifecycle, from concept and business case through to global rollout and scaled adoption, working across a matrixed organisation that spans Sales, Technology, Operations, Risk, and Compliance.
Responsibilities
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- Manage significant workstreams within the Global AI Product roadmap for Issuer Services, translating strategic priorities into detailed delivery plans and coordinating cross\-functional teams to drive execution from concept through commercialization.
- Identify, scope, and deliver AI\-powered capabilities that create differentiated value for Issuer Services clients, engaging directly with clients throughout the lifecycle to validate solutions and manage expectations.
- Coordinate the structured rollout of AI productivity tools for internal Issuer teams, managing adoption milestones and facilitating change management activities that embed AI into day\-to\-day workflows.
- Develop business cases and ROI analyses for AI initiatives, modelling cost and revenue scenarios, tracking actuals against projections, and supporting senior stakeholders in making prioritization decisions with clear financial rationale.
- Ensure all AI capabilities are delivered in line with Citi's enterprise risk standards, coordinating model risk governance activities, maintaining data lineage and explainability documentation, and surfacing compliance or ethical AI considerations early.
- Drive an agile delivery rhythm across AI product workstreams, maintaining well\-groomed backlogs, facilitating sprint planning and retrospectives, and tracking OKRs and KPIs to accelerate time\-to\-market.
- Coordinate the geographic rollout of AI capabilities across Citi's global market footprint, managing regional delivery plans and ensuring design consistency as solutions are adapted to local regulatory and market requirements.
- Serve as an informed advocate for AI within Issuer Services, communicating progress and outcomes to senior leadership and clients, and fostering a culture of AI curiosity and literacy across the Issuer team.
Required Qualifications \& Skills
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- 5 or more years of product management, product delivery, or equivalent experience, with demonstrated delivery of technology\-led products in a structured, cross\-functional environment.
- Direct experience contributing to the build, launch, or scaling of AI or machine learning\-powered products or digital platforms, ideally within financial services or fintech.
- Proven ability to own delivery plans end\-to\-end — managing dependencies, tracking milestones, mitigating risks, and reporting status clearly to senior stakeholders.
- Commercial acumen with the ability to contribute to business case development, support P\&L analysis, and apply ROI thinking to AI investment decisions.
- 2 or more years of client\-facing or cross\-functional stakeholder experience, with the ability to gather requirements, validate solutions, and manage expectations across enterprise clients or business partners.
- Working knowledge of AI concepts, model risk management principles, responsible AI frameworks, and enterprise governance requirements relevant to regulated environments.
- Ability to build effective working relationships across technical, business, and executive audiences, navigate competing priorities, and communicate complex topics with clarity.
Beneficial Skills \& Qualifications
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- Background in Issuer Services, debt capital markets, or structured finance.
- Experience working alongside compliance, legal, or risk functions on regulated technology or AI deployments.
- Familiarity with generative AI tools and their practical application to enterprise productivity workflows.
- Experience with agile delivery methodologies such as Scrum or SAFe, including sprint facilitation, backlog management, and cross\-functional team coordination.
- Formal project management qualification such as PMP or PRINCE2, or demonstrated equivalent delivery management experience.
What We Offer
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At Citi, you will work at the intersection of global financial markets and enterprise AI — with the scale, resources, and cross\-functional access to make a genuine impact. This is an opportunity to shape the AI agenda of a market\-leading business, contribute to outcomes that matter, and grow your career in one of the world's most complex and rewarding financial institutions.
- A strategic, high\-visibility role at the heart of Citi's AI transformation agenda for Issuer Services, with direct exposure to senior leadership and global clients.
- Hybrid working model with 3 days in the office and 2 days working remotely, supporting a sustainable and productive working pattern.
- Access to enterprise\-wide AI tools, capabilities, and communities — positioning you at the leading edge of AI adoption in financial services.
- Opportunities for professional development and career progression within a global organisation that operates across more than 160 countries.
- Competitive financial wellbeing package including salary, performance\-based incentives, and a comprehensive benefits programme.
- Wellbeing and family support resources designed to help you perform at your best inside and outside of work.
Apply now to bring your AI product expertise to a role where your work will shape the future of one of the world's leading Issuer Services businesses.
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Job Family Group:
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Product Management and Development
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Job Family:
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Product Management
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Time Type:
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Full time
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Primary Location:
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New York New York United States
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Primary Location Full Time Salary Range:
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$129,840\.00 \- $194,760\.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental \& vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills
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Please see the requirements listed above.
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Other Relevant Skills
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For complementary skills, please see above and/or contact the recruiter.
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Anticipated Posting Close Date:
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Aug 19, 2026
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Automated Processing and AI
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We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision\-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*
Salary Context
This $129K-$194K range is below the median for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Citi, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. This role's midpoint ($162K) sits 25% below the category median. Disclosed range: $129K to $194K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Citi AI Hiring
Citi has 32 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer, AI Agent Developer, AI Software Engineer. Positions span New York, NY, US, Tampa, FL, US, Jacksonville, FL, US. Compensation range: $170K - $300K.
Location Context
AI roles in New York pay a median of $220,000 across 1,650 tracked positions.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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