Fractional Product & Technology Leadership

Product Strategy, Architecture, AI, and Prototypes.

For founders, CEOs, and R&D leaders in health-tech, automotive, deep-tech, and regulated SaaS: get senior fractional leadership across the four places where complex products usually get stuck — what to build, how to architect it, where AI can create leverage, and how to prove it hands-on.

Who it's for Health-tech, automotive, and deep-tech teams whose engineering is ahead of the buyer story.
What you get A focused product direction, credible architecture, practical AI implementation, and a prototype customers can understand.
20+ years product & technology Mobileye · Binah.ai · Cisco · Intel AI · LLMs · RAG · Agentic workflows Fractional CPO / CTO leadership
Product Strategy ICP, value proposition, roadmap, and PMF focus
Technology Architecture System, API, data, cloud, and integration decisions
AI & Automations LLMs, RAG, agents, workflows, and internal tools
Hands-on Prototypes Zero-to-one POCs, demos, and technical validation
Isometric diagram of connected product strategy and technology execution workstreams

Past experience

Mobileye (Intel) Binah.ai Cisco Intel

When to call

Strong Technology Still Needs a Clear Path to Customer Value.

Health-tech, automotive, and deep-tech teams often have the most impressive technology and the hardest time explaining it. The bottleneck is turning that potential into a crisp product direction, a credible buyer story, and fast execution without losing compliance or domain precision.

1

The Value Is Hard to Explain

Your product is technically impressive, but buyers do not yet see a clear business case, urgency, or reason to choose it now.

2

The Roadmap Is Too Busy

The team is shipping, but priorities are not clearly connected to customer outcomes, revenue, adoption, or strategic focus.

3

Leadership Bandwidth Is Thin

You need senior product or technology judgment now — especially in regulated domains like healthcare or automotive — but a full-time CPO, CTO, or R&D manager is not the right move yet.

The bridge

Connect the Market Signal to the Technical Proof.

The work moves through three connected questions: who needs this, what should we build first, and how can we prove it quickly.

Market Signal

Identify the ICP, the buying trigger, and the value customers can repeat — even in health-tech, automotive, and other complex regulated markets.

Product Focus

Translate strategic goals into a focused roadmap, scoped decisions, and artifacts the team can execute.

Technical Proof

Build the prototype, integration, or architecture proof that makes the next investment decision easier — including safety-critical and regulated-domain validation.

Services

Product Strategy and Technical Execution, Connected.

Strategy without delivery leaves teams waiting. Delivery without product clarity burns cycles. You get the connective tissue between what to build, why it matters, and how to move quickly.

Pillar 1

Product Strategy

Turn complex technical capability into a customer-facing value story, focused roadmap, and product direction your leadership and R&D teams can execute.

  • ICP synthesis, customer segmentation, and buyer messaging
  • Value proposition and PMF validation
  • Roadmap prioritization, PRDs, and product specs
  • Fractional CPO and product leadership cadence
Pillar 2

Technology Architecture

Shape the architecture behind the product: systems, APIs, SDKs, data pipelines, cloud infrastructure, integrations, and the trade-offs that make complex products reliable.

  • Architecture reviews and technical feasibility
  • SDK, API, data, and developer platform design
  • Cloud and integration planning across AWS / GCP
  • Regulated-domain navigation: FDA, HIPAA, ISO 13485, ISO 26262
Pillar 3

AI Implementation & Automations

Identify where AI can create real leverage, then implement the workflows, agents, RAG systems, and automations that remove operational friction.

  • LLM, RAG, vector database, and agentic AI integrations
  • Prompt engineering and workflow automation
  • Internal tools and knowledge-base systems
  • Agentic coding workflows using Claude Code, Cursor, and Kiro
Pillar 4

Hands-on Prototype Development

Build the smallest credible version of the product, integration, or AI capability so stakeholders and customers can react to something real.

  • Zero-to-one prototypes and proof-of-concepts
  • Clickable demos, workflow tools, and technical validation
  • API, data, and third-party integration prototypes
  • Trusted experts for UI/UX, DevOps, and AI/ML training

How I work

A Practical Path from Ambiguity to Action.

01

Map the Decision

Define the customer, business goal, technical constraints, and decision that must become clearer.

02

Sharpen the Value

Turn user pain, ICP, and product capability into a clear value proposition and focused scope.

03

Build the Proof

Prototype the smallest credible version that can validate the product, workflow, integration, or AI capability.

04

Lead the Next Step

Convert the learning into a roadmap, delivery plan, leadership cadence, or scaled implementation.

Outputs

Concrete Deliverables, Not Vague Advice.

Every engagement should leave you with something useful: sharper decisions, clearer artifacts, working software, or a better operating rhythm.

  • ICP and value proposition brief
  • Product strategy workshop summary
  • Prioritized roadmap and delivery plan
  • PRD, product spec, or prototype brief
  • Architecture and feasibility review
  • Prototype, proof-of-concept, or integration

Fit

Best When the Stakes Are Product and Technical.

The strongest engagements combine a real business decision with a technical path that needs senior judgment.

Best Fit

  • You need product clarity before investing in a full build.
  • You have complex technology — health-tech, automotive, AI, or regulated SaaS — that buyers do not yet understand.
  • You want to validate an AI, automation, or integration idea quickly, including FDA, HIPAA, or ISO-constrained environments.
  • You need fractional CPO, CTO, or R&D leadership with real domain depth.

Probably Not the Right Fit

  • You only need extra hands for a fully specified implementation.
  • You are looking for low-cost commodity development capacity.
  • You want strategy slides without ownership of the next step.
  • You need a large permanent delivery team from day one.

Domain & technology expertise

20+ years across regulated, deep-tech, and AI-native domains.

AI & LLM Integration RAG Systems Agentic Workflows Rapid Prototyping Health-Tech & Digital Health Vital Signs SDK FDA 510(k) & ISO 13485 HIPAA Compliance ADAS & Autonomous Driving ISO 26262 Automotive Safety Computer Vision B2B SaaS & SDK Products Enterprise Collaboration Developer Platforms & APIs MLOps & Data Pipelines Vector Databases AWS / GCP / Cloud Claude Code · Cursor · Kiro 0→1 Product Development Fractional CPO / CTO

Engagement models

Flexible Ways to Bring in Senior Leadership.

A

Hours-Based Consulting

A predefined bank of hours for focused advisory, product reviews, architecture sessions, prioritization, or specific strategic bottlenecks.

B

Project-Based Delivery

A scoped engagement for discovery, value proposition work, prototype delivery, technical implementation, or AI integration.

C

Fractional Leadership

Ongoing part-time CPO, CTO, technology, product, or R&D leadership for companies that need senior judgment without a full-time executive hire.

Not Sure Which Model Fits? Start with the product or technology decision you need to make. I’ll help translate it into the right scope.
Discuss the Fit
20+ Years in product, technology, and deep-tech leadership
$10M+ SaaS revenue driven at Mobileye through AI data products
1.5M+ Active users reached across Binah.ai and Cisco platforms
200+ Enterprise partners integrated Binah.ai SDK globally

About

Product Judgment, Technical Depth, and Accountable Execution.

Senior product and technology leader with a B.Sc. in Computer Engineering (Technion) and 20+ years spanning ADAS and autonomous driving at Mobileye (Intel), vital-signs AI SDK at Binah.ai, enterprise B2B2C platforms at Cisco, and embedded systems at Intel.

Current focus: AI-native product strategy, LLM and RAG system integration, agentic workflow architecture, and rapid zero-to-one prototyping using Claude Code, Cursor, and Kiro. Deep regulatory experience in FDA 510(k), ISO 13485, HIPAA, and ISO 26262.

I lead engagements directly — as product strategist, technical architect, and hands-on builder — and bring in trusted experts when the project needs AI/ML training, UI/UX design, or DevOps.

Fluent in engineering and business, with one goal: make sure the product your team builds creates value customers can recognize.

Contact

Let’s Discuss Your Product or Technology Challenge.

Tell me what you are trying to build, validate, or clarify. I’ll help identify the right next step and the engagement model that fits your situation.

Book a 30-min Call