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Ivan K. Revenue Operations, B2B Growth, ProductIK

Ivan K.

Revenue Operations, B2B Growth, Product
  • Suggested rate
    €594 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Ivan's quote.
Location and workplace preferences
Location
Berlin, Germany
Can work on-site at your office in
  • and around Berlin (up to 50km)
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Skill set
Industry fields of expertise
Ivan in a few words
5-x founder with 10+ yrs of B2B outreach and Go2Market experience converting brands like Meta, Bolt, building AI products for Fortune500 companies and growing revenue $0 -> $1M/year+. I love building multi-touch outreach flows with a fusion of channels: Email, Linkedin, Phone + Content distribution to reach 50%+ reply rates.

I am also a Product enthusiast in the AI space with decent experience in User Research, Product prototyping, Product Management, Product Analytics, and Product growth (launched 3 products as a PM with AI components).

I'm deeply inspired by sharing my expertise and helping early-stage teams grow by structuring the chaos into a manageable process. Big fan of tracking data within every aspect of company building and using the Mochary Method for team management.

Have you run out of leads among your Friends & Family?

Do you struggle with lots of outreach and low outcomes?

Are you confused with leads churning and not coming back?

Book a consultation
Experience
  • self-employed
    Fractional Revenue Operations, Sales & Product Lead, contract
    July 2024 - March 2025 (8 months)
    Berlin, Germany
    • Built end-to-end deal flow analytics for AI SQL reporting tool along blog pages, landings to signups, demo requests, trials, and subscriptions with Google Analytics, Hubspot, and user data identifying conversion gaps to benchmarks and SEO strategy to maximize growth
    • Integrated Clay-HubSpot-Linkedin-Lemlist workflow that enabled cold outreach and LinkedIn Ads audiences sync. Produced a workflow to enrich with Clay and upload contacts with HubSpot API to contact PQLs in Linkedin leading to 30% acceptance and 7% reply rates
    • Developed end-to-end user onboarding analytics with PostHog for AI resume tool and enabled 30%->70% activation and 12%->25% value capture rate. The marketing effort was rebalanced into a high-performing channel producing 23% of signups as a result
  • UATalents
    co-founder, Chief Executive Officer
    March 2022 - June 2024 (2 years and 3 months)
    Berlin, Germany
    • talent platform that partnered with Meta, Bolt, Flix, Project A, Earlybird, and c.10K employers to help 1.5M Ukrainians fleeing from war find job opportunities in the EU
    • Developed the sales process tracking ICPs/Personas conversions along MQL PQL-SQL-Deal funnel with 1.2%-20% and 28 days end-to-end conversions channel-dependent, incl. 45% reply rates for PQLSignal, 51% SQL/JobOpen
    • Automated lead flow and analytics covering PLG Inbound w. Mixpanel, 3rd party lead signal tools, Linkedin, Pipedrive, Lemlist, Mailerlite & Funnel reporting in HEX
    • Built end-to-end recruitment process analytics from scratch, introduced team KPIs, tracked and improved performance, e.g. 10%->22% candidate reply rate increase and 15 -> 9 min candidates required to close with additional assessment points introduction
  • azimu.ai
    co-founder
    March 2019 - February 2022 (2 years and 11 months)
    Berlin, Germany
    • azimu improved software development cycle time by delivering actionable insights to PMs/EMs with KPIs and process funnel visualization
    • Led sales, and Product Management, incl. client data analysis with SQL+ML from multiple sources (Jira, Git, Slack, PostgreSQL) and data visualization with Plotly
    • performed deep customer data analysis and directly worked with a Data Scientist to ideate and implement platform AI features like feature ETA and ETA contributors, including experiment review (Jupyter Notebooks), model evaluation (Gradient Boosted Trees, MSE/MAE) and further model development ideation
    • performed c. 100 user discovery calls and implemented Atomic user research methodology to identify pain points
    • Used the Opportunity Solution Tree approach to identify core opportunities and prioritize the backlog
    • Prepared and updated interactive product mockup in Figma for user testing and describing features in the backlog
    • Ideated the backlog and collaborated with the team to plan for its implementation. Jira and azimu itself were used as collaborative tools
    • Run a Customer Discovery Program with 5 pilot customers to validate PMF
Recommendations
Education
  • UCU Data Science Master Program
    2021
  • Bayesian methods in Data Science,
    UCU ML
    2018
    Bayesian methods in Data Science,
  • Machine Learning, Recommender systems
    Ukrainian Catholic University (UCU) ML schools
    2017
    Machine Learning, Recommender systems
  • Master of Science in Finance
    The University of Kyiv-Mohyla Academy
    2012
    Bachelor with honors and Master in Finance,