Avinoam Zelenko

Avinoam Zelenko

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B2B SaaS Product Leader (14 years), Ex-LinkedIn, Career Coach, Author, Advisor, Instructor, Speaker
Fort Lauderdale, Florida, United States

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Résumé


Jobs verified_user 0% verified
  • Atlassian
    Principal Product Manager, Confluence
    Atlassian
    May 2023 - Current (3 years 4 months)
  • Product School
    Product Management Instructor
    Product School
    Apr 2023 - Current (3 years 5 months)
    Skills: Coaching · Management · Strategic Leadership · Team Building · Product Management
  • C
    Career Coach & Featured Expert (focused on PM and wellbeing)
    Criya YC W22
    Apr 2023 - Current (3 years 5 months)
    Career coach as part of the invite-only, Expert Circle @Criya. Helping clients navigate through career transitions, moving to leadership roles, and growing/learning their product management skills, via 1:1, coaching sessions, and content.
  • U
    Advisory Board Member, Customer Experience Certificate Program
    University of California, Irvine Division of Continuing Education
    Feb 2022 - Current (4 years 7 months)
    Advisory Board Member for the Customer Experience Certificate Program at The University of California, Irvine - Division of Continuing Education.
  • LinkedIn
    Senior Product Manager, Feed
    LinkedIn
    Jun 2020 - Apr 2023 (2 years 11 months)
    Lead PM for Feed Engagement team at LinkedIn, accountable for main feed experiences and metrics. Implemented successful experiments (e.g. resharing, events recommendations) through testing and collaboration with all LinkedIn teams. Delivered millions in incremental value through increased member engagement and retention through user research and design.
  • Atlassian
    Principal Product Manager, Confluence
    Atlassian
    Aug 2019 - Jun 2020 (11 months)
    Promoted to Principal PM with a focus on people leadership and managing a team of PMs. Defined a vision for Confluence Cloud editor and collaboration experience for the next 5 years with buy-in from C-level. Established as a thought leader and mentor for PMs, owning creation and engagement metrics for Confluence Cloud. Managed complex changes with sub-teams and 50 engineers.
  • Product School
    Featured Speaker
    Product School
    May 2019 - Current (7 years 4 months)
    As a featured speaker, I help inspire the next generation of Product Managers to create innovative products and apply best practices in their work. Talks included are: - How to Hear People in Your Product - Emotional Product Management - To Thine Own Customer Be True
  • Atlassian
    Senior Product Manager, Confluence
    Atlassian
    Apr 2018 - Jul 2019 (1 year 4 months)
  • Atlassian
    Senior Product Manager, Hipchat
    Atlassian
    Oct 2017 - Apr 2018 (7 months)
    Relocated to the US for first role at Atlassian, leading Hipchat Data Center Enterprise Admin roadmap. Defined a 12-month roadmap and improved the installation and onboarding process for large companies. Attended Reforge Growth series to drive growth and revamp roadmap. Atlassian's decision to exit live communication space led to internal mobility opportunity in Confluence Cloud team.
  • Feedvisor
    Senior Product Manager, Revenue Intelligence
    Feedvisor
    Feb 2015 - Sep 2017 (2 years 8 months)
    Responsible for Revenue Intelligence application roadmap and execution at Feedvisor, serving as Product Owner for 3 SCRUM teams. Defined and owned product measurement and engagement strategy, rolling out groundbreaking products with significant impact on key metrics. Owned and successfully rolled out Feedvisor 2.0, a completely new experience based on customer feedback and data-driven product decisions.
  • C
    Senior Product Manager, Data Products
    ClickTale Ltd.
    Jan 2014 - Feb 2015 (1 year 2 months)
    Led the ideation and delivery of ClickTale's big data product, acting as the Product Owner within a SCRUM team. Drove data research projects and product development, resulting in the successful launch of the "What to Test" product which automatically highlights elements on a page that would benefit from A/B testing. Worked with data scientists and engineers to define hypotheses, determine optimal paths of action and define KPI's, while keeping the long-term vision in mind.
  • Liveperson
    Product Owner/Manager, Analytics Driven Engagement & Keyword Lift
    Liveperson
    Jul 2011 - Dec 2013 (2 years 6 months)
    Owned LivePerson’s predictive intelligence P&L globally, defining product needs, working closely with data science, R&D, and product marketing teams to ensure successful product delivery. Invented two machine- learning products that grossed over $2 Million in the first year and were used by over 33% of customers.
  • Liveperson
    Success Manager
    Liveperson
    Aug 2009 - Jun 2011 (1 year 11 months)
    Owned customer success. Day to day role included managing customer relationships with LivePerson’s Small Business customers, maximizing revenue opportunities, growing the customer base, driving increased usage of LivePerson products, preempting attrition, advocating customer needs into the organization, providing customers with in depth analysis and methods to optimize their use of LivePerson’s product. Built automated analysis and sales support tools for both sales and customer care teams in order to systematically analyze customer health, usage and predict attrition and identify growth opportunities at scale both from an overall trend perspective across the entire base and from a granular customer level view.
  • M
    Analyst
    Menora Mivtachim Pension Fund
    Jan 2008 - Jan 2009 (1 year 1 month)
    Performed analytical work, built and managed multi-million dollar budgets, in charge of system data entry, created reports on different software platforms.
Education verified_user 0% verified
  • Reforge
    Reforge
    Reforge
    Jan 2018
  • Netanya Academic College
    B.A, Business & Insurance
    Netanya Academic College
    Jan 2006 - Jan 2009 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • D
    Digital Marketing Performance Programs
    Dec 2012 - Current (13 years 9 months)
    Through both live, human interaction as we well as personalized messages and targeted offers, LivePerson enables online marketers to deliver the kind of rich, engaging customer experiences that drive results. Through advanced segmentation capabilities along with keyword-based targeting, LivePerson can help determine which customers to engage with, and deliver a highly-relevant interaction designed to lead the customer to conversion.
  • G
    Google AdWords Chat Ad Extension
    Sep 2012 - Sep 2013 (1 year 1 month)
    The Google AdWords Chat Ad Extension enables a live chat session by clicking on the "Live Chat" icon within the Google AdWords ad connecting consumers with brands in a live chat directly from the SERP. This was brought to market as a partnership between LivePerson and Google to select enterprise fortune 100 customers. Led customer facing efforts, worked closely with product to define product needs and road-map as well as executing on go to market and KPI measurement.
  • K
    Keyword Lift
    Jun 2011 - Dec 2012 (1 year 7 months)
    Through keyword-based targeting, LiveEngage automatically analyzes your search campaign data every 24 hours through a proprietary keyword-scoring algorithm designed to identify keywords with the greatest potential to boost your ROI. With this built-in intelligence, and based on the keywords visitors use to find your site, selected visitors are engaged at the optimal time and place, engaging the visitors and driving results.
  • A
    Analytics Driven Engagament
    Jun 2011 - Dec 2012 (1 year 7 months)
    Web analytics-based targeting plays a key role in creating a frictionless optimization cycle, delivering continually optimized visitor segments and dramatically improved business results. Integrating with Google Analytics, LiveEngage utilizes a proprietary algorithm to analyze data such as page views, navigation paths, bounce rates, and entry and exit points, and determines the best pages for engagement along with the optimal timing for each selected page. Based on these findings, new segments are automatically created and deployed, and are always open to administrative editing. As website content and/or aggregate visitor behavior changes, the segments will automatically change at regular set intervals, based on the latest website analytics
Publications verified_user 0% verified
  • K
    Happy as a 5 year old
    Kindle Book
    Jan 2020
  • P
    Treat your customers like your children
    ProductCraft
    Jan 2019
This is a community-created genome.