Leading Generative AI strategy and R&D across Northwestern Mutual.Responsible for multiple GenAI initiatives including RAG, Agents, Development tools and more, using in-house R&D and 3rd party tools.

Helping companies with Strategy, Product and GTM challenges.Specializing in: Data, Artificial Intelligence, Machine Learning, Generative AI.Industries: Sales, Marketing, E-Commerce, FinTech, AdTech, Start-ups, B2B and B2C.

Leading all Product and UX for CorporateGift. CG helps businesses show appreciation to customers and colleagues through the most advance gifting platform specifically designed for corporations. We do this through a combination of an e-commerce Marketplace, one-of-a-kind enterprise business platform, and storage and shipping as a service.• Introduced a multi-year product and business strategic plan. Lead a framework-driven strategic planning to focus company goals with tangible KPIs; focused target audience and prioritized product and business objectives; Created quarterly goals and execution plans across R&D and Operations.• Introduced modern product development practices to increase x-team collaboration between R&D and stakeholders.• Launched an innovative checkout process for multiple recipients in a single order, 5 months from concept to market.

Managing the global sales, marketing, and service platforms, including multiple ML products tackling conversion and price optimization challenges. Worked with C-suite (CFO, CRO, CMO, CTO) and VP levels.• Grew the global revenue from $1B to $4B in 2 years.• Enabled reduction in Sales and Marketing headcount by 66% over 2 years through process efficiency.• Increased revenue of a direct-to- consumer product by $8M within 3 months of launching an innovative dynamic pricing product.• Reduced Time-To-Pay for Broker referrals from 60 days to 5 days through a new payment processing system, thereby increasing broker retention by 50% (accountable for 90% of the company’s revenue) and reducing manual work by 70%.• Reduced software cost by 70% and considerably enhanced process efficiency by rebuilding WeWork's marketing, sales, service, finance and real estate processes and tech. • Hired and coached a team of 7 PMs including People Managers. Aided 5 PM in my team in achieving promotions.

Managing the WeWork Sales and Marketing platforms which drive 100% of the $4B revenue and supports the global team of +6500 users.Managing 2 experienced Product Managers who individually own various business aspects of our domain.

Leading the 𝘾𝙪𝙨𝙩𝙤𝙢𝙚𝙧 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 𝙋𝙡𝙖𝙩𝙛𝙤𝙧𝙢. A data enrichment platform which powers every decision in WeWork pertaining to potential and existing customers. Team's focus area is on generating and enriching Sales Leads and Accounts to the global WeWork Sales organization, and drive critical Sales funnel activities.Key achievements:• Increased Salesforce accounts data enrichment from 20% to 52% (50% to 98% for large and enterprise customers)• Gained the trust and buy-in from all departments across the company to adopt our platform as the source-of-truth for all data enrichment use cases• Instantiated a data-driven culture in the team, including new data quality and user experience metrics and vetting of existing and new data sourcesLeading the 𝙂𝙡𝙤𝙗𝙖𝙡 𝙍𝙚𝙛𝙚𝙧𝙧𝙖𝙡𝙨 𝙋𝙧𝙤𝙜𝙧𝙖𝙢 platform which generates over $1B in annual revenue through a critical payments automation process.Key achievements:• Reduced Time-To-Pay for Referral payments from 60 days to 5 days by rebuilding the Referral payments process including new automation and UI flows

Advised the founding team on product positioning, branding, GTM strategy and differentiation. Participated in the initial website launch along with user testing and several iterations.• Grew the revenue from $0 to $150K MRR within 6 months after launch.• Participated in hiring the first Engineering, Operations and Product employees.

eBay Structured Data is in charge of productizing all data across eBay, to power product-based experiences which empower both sellers and buyers, driving every online and offline eBay experience with profound business, legal and UX impact.• Increased global revenue by 10% in 6 months through several site-wide pivotal Selling and Buying experiences. Led 12 cross-domain teams across all eBay.• Achieved 70% reduction in data corruption (surpassing yearly goal of 60%) by leading ML teams tackling massive data quality challenges. In charge of research, developm/ent, and analytics teams. • Integrated three remote R&D teams following acquisitions, focusing on big data and machine learning capabilities. • Lead a fully data-driven EOL process for a legacy system due to lack of direct access to users.

Earnix provides pricing optimization algorithms over an enterprise big data platform for banks and insurers with tools ranging from ETL, through behavioral modeling to financial optimization and online real-time pricing.• Increased revenue by 50% and new business Sales by 30% through successfully delivering 2 major product increments.• Increased Sales win rate by 25% by launching a state-of-the-art Spark-based computational engine. creating a unique differentiator over the leading competitor.• Managed both in-house and outsourced UX/UI experts and graphic designers through a product-wide UX redesign, including highly analytical data-intensive interfaces, using suggestive and predictive interfaces.

Led 3 ML products E2E one of which was sold to Samsung Electronics for several $MM. Drove product vision, execution and go-to-market. • Research new product markets, strategies, and opportunities.• Backward engineering of competitive solutions with and as part of the R&D team.• Design algorithmic solutions and software architecture together with R&D teams.

Design and implement low-level and high-level video processing and computer vision algorithms for innovative, real-time, state-of-the-art Natural User Interface products in C/C++ and Matlab.Design and implement various software components addressing issues such as cross-platform, optimization and code flexibility and scalability.Experienced in Agile management methodology.Main Projects:• Palm detection and tracking for NUI on a wide variety of consumer electronics products.• Full-Body 3D skeleton using a single 2D camera for the gaming and security markets.• Gesture recognition using generic uncontrolled camera on stationary and mobile platforms.

Led a team of two algorithm designers and two programmers.Continued hands-on experience designing high-level solutions in image-processing and computer vision.Experienced in SCRUM management methodology.Main Projects:• CBIR: Identification of O(10^2) patterns in O(10^9) DB (with Prof. Michal Irani).• Object detection in aerial and satellite imagery based on spectral and geometrical signatures.• Aerial and satellite image correction, enhancement and registration.• Geo-Spatial data mining including area classification, pattern detection, anomalies' identification, and automatic warning systems (with Prof. Amnon Sha'ashua).Won "Rosh-Aman Award for Creative Thinking" and "Makor Haim" award in '09.

Researched, developed and implemented advanced algorithmic solutions in Matlab and C/C++.Main Projects:• Generic polygon and ellipse detection in aerial and satellite imagery.• Real-Time tracking of multiple objects O(10^2) using radar signals, including path intersection, identical signatures and occlusions (with Prof. Shuka Zeevi).

Led a team of 2 engineers and 8 practical engineers and technicians.Team's areas of work:• Design, manufacture and installment of RF reception systems and RF circuits.• Design and installment of RF antenna arrays.• Analysis of RF antenna arrays in Urban and Non-Urban scenes.Extensive knowledge and experience with electronic Test & Measurement equipment (Analyzers, Meters, Generators, etc.).Won "Rosh-Aman Award for Creative Thinking" in '07 and "Makor Haim" award in '06.Awarded "Best Technical Team" for 2005.