AI Product Manager • Product Strategist • 0-to-1 AI App Builder
Building AI products that ship, scale, and sell.
I'm a product manager who blends UX, product strategy, and vibe coding to ship AI apps regularly.
I'm a Strategic AI Product Manager with an engineering background. I work across product, AI, and engineering to shape and ship scalable intelligent products. Outside of work, I run a personal AI lab where I design, prototype, and ship new AI apps to stay sharp in product strategy, UX, and hands on execution.
The best AI PM skill right now is knowing when not to use AI.
Open to senior product, AI, and technical leadership opportunities.
Robert Romulus
AI Product Manager
AI, FinTech, Platform Products
Strategy • Execution • UX • Engineering
$1.6B+
Monthly transactions supported
99.9%
Platform uptime at scale
20%
Customer satisfaction increase
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, LLM/GenAI strategy, cross-functional ML/SWE team building, model evaluation frameworks, prioritization, stakeholder management, AI product-market fit
Data & ML Infrastructure
RAG architectures, fine-tuning (LoRA, QLoRA), ML CI/CD pipelines, MLOps, vector databases (Pinecone, Weaviate), prompt engineering, model evaluation
Engineering Execution
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, AWS/GCP architecture, Hugging Face, OpenAI API, Anthropic Claude, LLM orchestration, API development
Customer & UX Obsession
Zero-to-one product development, translating ambiguous user needs into ML solutions, prototyping, conversational UX, voice AI, user research, A/B testing
Platform Systems & Scaling
Enterprise architecture, distributed systems, latency/throughput optimization, LLM reasoning constraints, cost optimization, governance, compliance
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
Hofstra University
Bachelor of Business Administration (BBA)
Marketing / Marketing Management
Certifications
AI Product Manager Professional Certificate
IBMProduct Roadmapping Micro-Certification (PRC)
Product SchoolSelected Work
Enterprise platform leadership alongside a deliberate AI lab practice — hands-on product exploration across voice AI, UX, orchestration, and applied product strategy.
Revlyq
A self-directed AI lab project exploring how voice AI, real-time orchestration, and conversational UX can be combined to automate lead capture and qualification end to end.
Built from scratch as a focused product lab exploration — not a side project, but a deliberate practice in applying product strategy, UX thinking, and AI systems execution together. Revlyq pushed me across voice latency constraints, multi-turn conversation design, backend orchestration, and the business logic of turning AI output into measurable workflow outcomes.
- •Owned the full product arc from strategy and UX flows to deployment and iteration — keeping product, design, and AI execution skills current.
- •Explored voice AI orchestration, real-time model behavior, and latency optimization under realistic production constraints.
- •Designed toward a multi-tenant platform vision, applying product marketing and positioning thinking alongside technical execution.
VoiceStocks
An innovation lab concept exploring how voice interaction, contextual AI reasoning, and interoperable workflow design can unify market research into a single intelligent workspace.
Conceived and prototyped as a focused AI lab exploration into the intersection of voice AI, financial data context, and connected workflow UX. The goal was to understand how a product leader should think about real-time intelligence surfaces — where voice input, signal reasoning, AI summaries, and guided next actions live together without breaking the user's flow.
- •Defined the end-to-end product experience and UX flow from voice prompt to contextual analysis, summaries, and guided action.
- •Applied interop thinking to design workflow patterns that support connected research across multiple data surfaces.
- •Used this project to sharpen AI product strategy, UX prototyping, and applied product marketing for intelligence-driven products.
Enterprise Trading Platform
Led product-facing execution across platform initiatives within a high-volume, mission-critical trading environment at a major regulated financial institution, with growing involvement in AI-focused work across the enterprise.
This work reflects the enterprise side of how I operate — navigating complex stakeholder structures, regulated workflows, and high-stakes delivery while helping drive thoughtful AI adoption in a controlled environment. I have been involved in assessing AI opportunities, evaluating feasibility and business need, partnering with data and engineering teams, and applying core product management practices such as roadmap shaping, user story development, and cross-functional execution to AI and platform initiatives alike.
- •Helped assess AI opportunities through the lens of feasibility, business value, workflow fit, and delivery readiness.
- •Worked across product, engineering, and data partners to shape roadmap direction, requirements, user stories, and execution planning.
- •Built experience at the intersection of enterprise scale, governance, and intelligent systems — a foundation that informs how I approach AI product leadership today.
What I'm Building Toward
Multi-Agent Orchestration
Extending Revlyq's single-agent voice flow into coordinated multi-agent pipelines for more complex lead qualification workflows.
Scalable RAG & Vector Data Strategies
Improving retrieval accuracy for VoiceStocks' market intelligence layer — grounding AI briefs in real-time financial data sources.
LLM Cost & Latency Optimization
Sub-second response times were critical in Revlyq. Exploring model routing, caching, and quantization strategies to push latency further.
Enterprise AI Governance & Compliance
Drawing from regulated systems experience at Bank of America — designing trust, audit, and explainability layers for enterprise AI deployments.
Personal AI Lab
Hands-on AI Product Exploration
I run a personal AI lab where I design, prototype, and ship new AI applications. This keeps my product strategy, UX thinking, and technical execution skills sharp and current.
Revlyq
Voice AI platform for intelligent customer interaction and lead qualification
VoiceStocks
Voice-driven market intelligence workspace with FDC3 interoperability
These lab projects reflect my commitment to staying technically current while exploring real-world AI product patterns.
Let's connect.
I'm a product manager who blends UX, product strategy, and vibe coding to build and ship new AI apps regularly.