AI Product Leader • Technical Executive • 0-to-1 Builder
I build and scale high-impact AI systems.
I am a strategic AI Product Leader who partners closely with applied scientists, ML engineers, and SWEs to ship scalable GenAI and LLM-powered applications. I excel at navigating ambiguity, defining product roadmaps from 0-to-1, and driving cross-functional execution to deliver measurable business value and robust system architecture.
Open to senior product, AI, and technical leadership opportunities.
Robert Romulus
Product Executive
AI, FinTech, Platform Products
Strategy • Execution • UX • Engineering
40%
Latency Reduction in ML Pipelines
50M+
GenAI API Calls Handled
0 to 1
LLM Systems Launched
3.5x
Faster Model Deployment
Building the bridge between applied research and scaled production.
I thrive at the intersection of product strategy, distributed engineering, and user experience. My background spans consumer products, enterprise finance platforms, and 0-to-1 generative AI systems.
As an AI Product Manager, I do my best work where the challenge is highly technical, the path is ambiguous, and the business needs a leader who can align vision with execution. I have deep experience managing high-performing cross-functional teams of Applied Scientists, ML Engineers, and Full-Stack Engineers.
Whether it's building reliable MLOps pipelines, scaling latency-sensitive applications to millions of users, or discovering a product's initial market fit, I care about shipping rigorous, resilient products that create measurable value and obsess over the customer.
AI Product Roadmap & Vision
Aligning GenAI capabilities with business strategy and customer needs.
Scaling Engineering & MLOps
Partnering with SWEs to deliver low-latency models to production.
Cross-Functional AI Leadership
Managing applied scientists, ML engineers, and data engineers.
Navigating Ambiguity (0 to 1)
Building resilient systems when product requirements are experimental.
Metrics & Impact Obsession
Driving measurable performance and financial ROI through AI.
Experience Across
Core Capabilities
Deep expertise across product, engineering, and design
AI Product Leadership
Roadmapping, defining LLM/GenAI strategy, cross-functional ML/SWE team building, model evaluation frameworks, rigorous prioritization
Data & ML Infrastructure
RAG architectures, fine-tuning infrastructure, ML CI/CD pipelines, MLOps, vector database strategy, managing data maturity
Engineering Execution
Python, PyTorch, LangChain, LlamaIndex, AWS/GCP architecture, prompt engineering, system design, API development
Customer & UX Obsession
Zero-to-one product development, translating ambiguous user needs into ML solutions, prototyping, conversational UX
Platform Systems & Scaling
Enterprise architecture, distributed systems, managing latency/throughput trade-offs, handling LLM reasoning constraints
Experience
Bank of America
VP of Product Management & Engineering
Led product and engineering strategy across enterprise AI initiatives, driving secure, scalable platforms in partnership with engineering and data science.
- Defined product strategy for an internal AI platform enabling secure LLM experimentation, deployment, evaluation, and monitoring across business units
- Established AI governance, observability, and MLOps workflows supporting regulated, enterprise-scale model usage with 99.9% uptime and compliance adherence
- Delivered AI-enabled platforms supporting applications processing $1.6B+ in monthly transactions
- Guided and developed product managers while remaining hands-on in roadmap ownership, system design tradeoffs, and customer validation for high-impact AI initiatives
E*TRADE | Morgan Stanley
Senior Product Manager
Owned end-to-end product strategy and execution for wealth-management platforms, working across engineering, design, and analytics to improve customer and advisor experiences.
- Leveraged data and predictive analytics to enhance advisor decision-making and customer engagement at scale
- Drove UX and workflow optimization that increased customer satisfaction by 20% and materially reduced user friction
- Translated complex business and technical requirements into scalable roadmaps, accelerating engineering delivery by 13%
- Aligned cross-functional teams around product priorities, execution, and measurable outcomes
Blue Label Labs
Senior Product Manager, iOS & Android
Led product strategy and delivery for iOS and Android applications, combining user-centered design with scalable mobile execution.
- Delivered AI-enhanced and data-driven features that increased user engagement by 10% and customer satisfaction by 12%
- Partnered across product, design, and engineering to turn emerging technologies into measurable business outcomes
- Balanced user needs, business goals, and technical constraints to drive stronger mobile product performance
Education
New York Institute of Technology
Master of Business Administration (MBA)
Management / Marketing
2006 – 2008
Hofstra University
Bachelor of Business Administration (BBA)
Marketing / Marketing Management
1998 – 2001
Certifications
AI Product Manager Professional Certificate
Product Roadmapping Micro-Certification (PRC)
Selected Projects
0-to-1 AI innovation + enterprise platform scale
Revlyq
Led product vision, architecture, and execution for an AI voice platform designed to capture, qualify, and route inbound leads in real time.
Defined the product from concept to production, shaping user flows, conversation design, backend orchestration, and deployment strategy. Worked across latency, reliability, and business outcome constraints to create a system that turns conversational AI into measurable revenue operations.
- •Defined product strategy and end-to-end workflow for a real-time AI voice experience.
- •Partnered across application logic, model behavior, and infrastructure decisions to improve responsiveness and reliability.
- •Built toward a scalable platform vision for multi-tenant business use cases in lead capture and qualification.
Enterprise Trading System
Led delivery of high-volume, regulated platform infrastructure and enterprise logic.
Managed cross-functional engineering, data, and design teams to deliver highly scalable, low-latency financial systems in a tightly regulated enterprise environment.
- •Secured stakeholder alignment across complex, matrixed business units to unblock critical infrastructure deployments.
- •Ensured 99.9% uptime and low-latency performance for mission-critical trading and transactional workflows.
- •Designed data-heavy, heavily regulated platform features handling significant daily volume and risk.
Currently Exploring
If you need an AI Product Leader who bridges applied research and scaled production, let's talk.
Whether you're hiring for an executive ML product role, exploring an enterprise AI initiative, or building a 0-to-1 GenAI platform, I'd be glad to connect.