AB
Avraham Ben-Tov Head of Product
Head of Product • Solving business problems by building products

Avraham Ben-Tov

Head of Product • Strategy → execution → outcomes

I’m a business-first product leader who walks into messy problems, aligns leadership, and ships products that move the numbers.

Fintech, AI platforms, and consumer discovery experiences across American Express, AveryGPT, MoneyLion, and TuneIn. AI is a tool in the system—not the story—so the products land with customers and the P&L.

Available for Head of Product or Product Executive roles. Strong at discovery, platform strategy, AI-enabled workflows, and cross-functional leadership.
Head of Product

What you get when I walk in

Business-first product leadership that blends strategy, execution, and AI as a tool to accelerate outcomes.

Business-first decisions

Start from the P&L, customer reality, and constraints. Translate that into a narrative, bets, and a roadmap teams can rally around.

Outcome roadmaps Pricing & model thinking Exec-ready storytelling

AI, applied

Use AI where it removes friction and amplifies people. Design guardrails, partner with data and engineering, and keep the hype in check.

LLM workflows Trust & safety Measurable lift

0→1 and platform scale

Comfortable at inception and at scale. Sequence work so v1 ships fast, then platformize the wins so they keep compounding.

Sequenced bets Platform thinking Operational rigor

Calm, cross-functional leadership

Align executives, engineering, design, data, and go-to-market. Keep teams focused, unblocked, and moving toward the same hill.

Stakeholder alignment Clear rituals Hiring & coaching
Case studies

Selected work • from pain point to shipped product

Four examples that show how I identify the business problem, design the strategy, and lead teams through delivery.

Amex developer experience knowledge platform
Enterprise knowledge and AI • American Express
Amex Way Library for 6,600 engineers
Role: Knowledge Management + Gen AI Initiatives
Core problem: fragmented documentation, low discoverability, and slow onboarding for thousands of engineers.

Owned the Amex Way Library strategy and roadmap. Increased page views by 48% YoY and unique visitors by 51% across 6,600+ engineers. Aligned content, taxonomy, and interfaces with GenAI (LLM) initiatives so knowledge was AI-ready and discoverable.

Problem discovery to strategy Knowledge UX AI assisted search Stakeholder alignment
Amex product tour step
Step 1 of 4

Front door for developer knowledge

Amex Way Library as the single source of truth for standards, paved roads, and AI-ready content.

View breakdown
What I did
  • Mapped pain points across engineering and positioned the Library as the single front door for standards, paved roads, and APIs.
  • Designed AI-powered personalized search and “dossiers”; evaluated LLM options and build-vs-buy for secure internal chat.
  • Launched role-based SDLC playbooks (Go, Python, Mobile, Web) cutting onboarding time by 35% and boosting tool adoption by 50%.
  • Built Copilot onboarding toolkit and workshops that drove 40% productivity gains while keeping compliance intact.
  • Authored strategy one-pagers and taxonomy guidance to reduce support requests and duplicated efforts.
Business result
  • 48% YoY page view lift, 51% more unique visitors across 6,600+ engineers, and faster onboarding to paved roads.
  • Foundation for secure GenAI experiences with clearer taxonomy, governance, and AI-ready content.
AveryGPT AI underwriting conversation
AI for commercial real estate • AveryGPT
AI brain for underwriting and investment decisions
Role: Head of Product • AI workflows + GTM
Core problem: investment teams drowning in spreadsheets, PDFs, and scattered market data; UI wasn’t how people think.

Led the pivot from point-and-click dashboards to a chatbot-first underwriting experience; authored system prompts and flows. Shaped roadmap, pricing story, and demo site (averygpt.com) while building structured/unstructured data intake and automation.

End to end ownership LLM workflows Founder partnership Business model repositioning
AveryGPT product tour step
Step 1 of 3

Conversational underwriting

Chat-first interface that reasons over deals, documents, and market data the way investment teams do.

View breakdown
What I did
  • Reframed the product as a conversational AI brain for underwriting; wrote the core system instructions and tone.
  • Defined workflows for structured/unstructured intake, financial automation agents, and provider recommendations.
  • Designed chat-based flows for comps, sensitivities, lender packages, and “AI Rolodex” side product.
  • Hired and guided engineering/design under lean conditions; installed agile product practices and roadmap discipline.
Business result
  • Sharper AI-first story and demo experience that matched how investors think and decide.
  • Clear roadmap linking data assets to differentiated conversational workflows and GTM narrative.
MoneyLion Discover feed personalized money content
Consumer fintech and content • MoneyLion
TikTok style financial content feed with 3× engagement
Role: Product lead • Personalization + creator ecosystem
Core problem: money content felt dry, generic, and disconnected from the user journey.

Drove product work on the Discover feed, combining recommendation engine, creator content, playlists, and short form video so that users receive the right money guidance at the right moment.

Recommendation engine Personalized feed Creator ecosystem Engagement 3×
MoneyLion product tour step
Step 1 of 5

Personalized Discover feed

Reels, playlists, and offers tuned to each member’s money goals, powered by behavioral signals.

View breakdown
What I did
  • Worked with data science to define objectives, signals, and feedback loops for the recommender.
  • Partnered with design and content to create playlists, reels, and daily event surfaces.
  • Balanced growth, compliance, and education goals across stakeholders.
Business result
  • Significant lift in engagement and time in feed, measured at roughly three times baseline usage.
  • Stronger connection between content, product usage, and financial outcomes for customers.
TuneIn Explorer discovery experience
Global audio platform • TuneIn
Search, discovery, and the Explorer experience
Role: Product • Discovery systems + IA
Core problem: listeners struggled to navigate a huge catalog of live radio, sports, news, and podcasts; premium users needed better paths.

Lead PM for user experience across search and personalization, serving tens of millions of listeners. Helped shape Explorer so people could browse by geography, genre, and intent, improving premium engagement.

Discovery systems Information architecture Cross platform thinking
View breakdown
What I did
  • Improved search relevance and navigation with design/engineering; manually triaged key queries with leadership.
  • Contributed to Explorer map to surface stations, sports, news by geography and intent.
  • Aligned discovery UX with premium user goals, content partnerships, and cross-platform consistency.
Business result
  • Better discovery for listeners, clearer premium paths, and more surface area for live streams and partnerships.
TuneIn product tour step
Step 1 of 4

Explorer map

Navigate live radio and sports by geography, intent, and genre—reducing friction for tens of millions of listeners.

Approach

Operating system • how I run product

See the system, create clarity, align leadership, and ship. AI is part of the toolkit; the target is the business outcome.

01

Discover the real problem

Listen to customers, operators, data, and the business model. Map the system, surface the friction, and align on a crisp problem statement executives can agree on.

02

Shape strategy and bets

Translate the problem into strategy, clear bets, and trade offs tied to the P&L. Align executives and cross functional leaders so everyone sees the same hill.

03

Design the plan, then execute

Build a roadmap, sequences, and milestones that let engineering, design, and go-to-market move with confidence. Keep teams unblocked and focused on the outcomes, not ticket volume.

04

Learn, iterate, and scale

Instrument the product, read the signals, and refine. Decide what to double down on, what to cut, and where AI or automation can safely accelerate outcomes.

Experience

Where I have applied this thinking

A mix of public companies, growth stage startups, and founder partnerships across industries.

American Express Senior Product Manager, Amex Way Library and GenAI initiatives supporting thousands of engineers.
AveryGPT Head of Product for an AI brain for commercial real estate underwriting and investment decisions.
MoneyLion Product work on Discover feed, recommendation engine, and creator content in a leading consumer fintech app.
TuneIn Product work on search and discovery for a global audio platform serving tens of millions of listeners.
Testimonials

What leaders say

A reference from a director level product leader who has seen my work up close.

“Avraham brought the leadership, technical depth, and strategic vision we expect from a Senior Product Manager. He quickly grasped complex systems and translated that into user centered product strategy. He aligned cross functional teams, kept our roadmap grounded in business objectives, and helped us evolve in step with our generative AI strategy.”

Julie Rae Miller, Director, Digital Product Management, American Express
About

Who I am as a product leader

I work at the intersection of technology, business, and people. My default mode is to walk into a messy problem, listen hard, map the system, and then create a path from confusion to clarity.

I enjoy work where the stakes are real, the systems are complex, and the outcomes matter to customers and to the company. I am comfortable sitting with executives, digging into models with data scientists, and writing product specs that give engineers a clear target.

AI is one of the tools I use, not my identity. The center of my work is still the same: solve the right problem, build the right product, and help people do their best work.

Contact
Looking for someone who can walk in, see the whole picture, and drive product from strategy to shipped outcomes.
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