Alex Korol

Technical Product Management Lead @Verra Mobility

Sudbury, MA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2024 — Present

Technical Product Management Lead @Verra Mobility

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Mesa, AZ, US

EDUCATION

2017 — 2018

Quantic School of Business and Technology

EMBA

N/A

Product Faculty

Crystal Training™ - Advanced Product Management Training for Senior Product Managers

N/A

Bezeq College

Practical Engineer, Telecommunication

N/A

Ort Singalovsky

B.Ed Tech, Computer Systems Networking and Telecommunications

SKILLS

System ArchitectureIptvIvrCloud ComputingUnified CommunicationsTcp/IpSwitchesSnmpEthernetNetwork ArchitecturePre-SalesNetwork DesignSip TrunkingTelephonyQosProfessional ServicesStrategyArchitectureMobile DevicesInternet Protocol Suite (Tcp/Ip)Ss7CtiNetworkingTelecommunicationsEmbedded SystemsIntegrationTdmWirelessSipRoutingWifiSystems EngineeringProduct ManagementH.323Agile MethodologiesTestingMgcpCall RecordingTeam LeadershipVoip

ABOUT ALEX KOROL

I am a user-centric product leader, who always looks to understand WHY things should be done the certain way and WHAT the user is looking to accomplish. Looking beyond the \"job to be done\" into the true VALUE the user will get from his actions. Understanding the workflow performed and the true meaning of every step in it. Looking to identify the differentiation between my product vs the rest and make it the loveable edge to bring traction. 15+ years leading product strategy and execution across, enterprise, SaaS, healthTech, data, and other industries Defining Product Strategy for AI/ML product to reduce training cycle by 40% at Conservation Labs Building the exceptional product teams that built and launched a telehealth platform in just 70 days at MedMinder. Leading the global cross-functional teams at Casenet to improve API performance and develop a standalone product. Cultivating a career-long passion for product excellence, data-driven decision-making, and operational efficiency. Managing and hiring highly efficient Product Teams Collaborating with data science and engineering teams on defining product success KPIs, using AWS, GCP, Azure, SQL and NoSQL DBs

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