As a co-founder and product lead at Domos, I’m leading the charge in reshaping the property management industry through cutting-edge AI technology. We’re building powerful AI agents designed to augment the capabilities of property managers, helping operators scale with ease and be the first to deploy AI capabilities to the property management market. Our focus is on delivering groundbreaking AI solutions at a rapid pace, setting a new standard for efficiency and innovation in the property management space.

- Tasked with developing and launching the web product as a new vertical for the company, including owning the strategy, P&L, roadmap and execution- Hired and managed product development team - Beta version was released after 3 months of development- Reached $XM ARR within 6 months by leveraging partnerships and an efficient marketing strategy

- Partnered with cross-functional teams - engineers, production team, client solution, and other internal teams to remove roadblocks and ensure alignment on north-star objectives and OKRs- Identified a strategic initiative that was tossed around for more than a year, and by putting the right resources into it, was able to complete it in 3 months. That led to the automation of 40% of the manual work of our main client deliverable, and allowed us to focus on new revenue streams- Introduced best practices in product development, including working with the leadership on the north star objective and our strategic goals, creating a quarterly roadmap process, and ensuring the alignment between all senior leaders in the company- Developed and grew an exceptional team of TPMs that was recognized in the company for its excellence

Leveraging machine learning and AI to help early startups build innovative solutions and launch quick MVPs

- AI solution that allows marketers and site owners to track and report all important events and clicks from their website. No code is needed.- The product retired once larger companies started to offer it as a free service

ODF2 Cohort

- Heading a global group of data experts across analytics, data science and engineering- Leading planning and execution for the analytical infrastructure, data products and BI ecosystem - strategy, roadmap, and product development - Leveraging big data, machine learning, and software to help business teams optimize $1B budgets- Hiring and managing technical teams and managers- Working with vendors, contractors and external consultants to integrate new BI technologies

- Building the analytical infrastructure for the new established sales operations group- Creating a yearly budget plan for the global sales and account management organization- Planning a commission plan to drive the sales organization to be aligned with the strategic direction of the company- Implementing, and integrating BI and reporting tools

- Specialized in analytics and data tools- Partnered with PM to understand business requirements and create product vision - Leveraged Python and ETL tools to serve fast-growing organization - Consulting and providing actionable insights for executives and other stakeholders- Hiring and mentorship

- Analyzing large and complex datasets in SQL and Big Data environments (MySQL, BigQuery, Vertica, Spark)- Designing, creating and deploying data oriented tools - using Python and Java

- Launched a last-minute ticketing app that connects spontaneous people who wanted to explore and experience events, with venue owners who wanted to fill up their last empty seats.- The app was released in Israel, grabbing the top spots in the App Store. During its run, thousands of users used it on a weekly basis to explore and buy tickets.- ShowApp received national press coverage, featured on the evening TV news, and numerous written articles.- The app was built using AWS infrastructure + Python Django for the backend

- Managing and conducting market research for new businesses and products- Qualitative and quantitative data gathering and analysis- Developing and accommodating existing forecasting simulation models- Conducting projections of the potential market size and competition evaluation

• Extensive experience in information science - both in the WWW and in public data bases• Analysis and processing of large amounts of data that are collected during the study, and finding the bottom line conclusions• Experience working with global contacts - Finding, contacting and interviewing experts in their fields in a variety of industries