Sergey Yaremenko

Product leader for AI agents and agentic systems, machine learning, and experimentation.

Agents, models and experiments for data-heavy products.

Also written Serhiy Yaremenko, Serhii Yaremenko and Sergii Yaremenko, and with the Iaremenko spelling of each (Sergey, Serhiy, Serhii, Sergii Iaremenko).

Who I am

I am Head of Product and Operations at DOGER, a decision-support platform over European public data. I own the product direction, run customer research with public-sector, financial and insurance buyers, and prototype each use case against real data before engineering builds it.

Before DOGER I was a Senior Data Analyst for experimentation and data science at AUTODOC, Europe’s largest online car-parts retailer. I owned the statistics behind its A/B tests and the models behind its personalized offers.

Before that I held product and analytics roles at PeopleForce, PandaDoc, LUN and MacPaw, where I built the analytics function and the MarTech team from nothing. I also mentor product leads and data teams, and I wrote and teach two courses, SQL for PMs and Product Analytics for PMs.

What I work on

AI agents and agentic systems, machine learning products, and experimentation programs. If you run a product that depends on data and want that kind of help, the services page describes how I work with clients.

Roles

• DOGER, Head of Product and OperationsEuropean public-data intelligence for public-sector, financial and insurance buyers
• AUTODOC, Senior Data Analyst, Experimentation and Data ScienceE-commerce, online car parts in 27 markets
• Scaleo, AI Product Manager (contract)Partner-marketing and affiliate-tracking platform, AI product from a blank page
• PeopleForce, Director of ProductB2B HR SaaS with 50%+ share in Ukraine, revenue $787K to $1.8M while opening Poland
• PandaDoc, Senior Product ManagerB2B document-workflow SaaS, revenue $35M to $55M, $1B valuation
• LUN, Product ManagerProptech, Ukraine's most-visited property site, ML ranking with 15-30% more revenue per customer
• MacPaw, Lead Product AnalystConsumer software on 1 in 5 Macs worldwide, analytics built from nothing and a MarTech team grown from 1 to 10

Industries

Proptech (LUN), B2B SaaS (PeopleForce for HR, PandaDoc for document workflow), marketplaces and affiliate marketing (LUN, Scaleo), consumer software (MacPaw), e-commerce (AUTODOC) and public-sector data (DOGER).

Tools and methods

• Data: SQL with window functions on event tables, ClickHouse, BigQuery, Redshift, Snowflake, dbt, Airflow, BI on AWS.
• Machine learning and AI: Python (pandas, numpy, scipy, statsmodels, scikit-learn, XGBoost), ranking and recommendation models, embeddings and vector similarity, RAG and hybrid search, agent evaluation, Claude and other LLM APIs.
• Experimentation: A/B testing at platform scale, power and minimum detectable effect, sequential testing, CUPED, bootstrap and non-parametric tests, uplift modelling, holdout design.
• Analytics and delivery: metric contracts, funnels and cohorts, Power BI, Monte Carlo unit economics, PRDs and discovery.

Education: MSc in Finance, Kyiv National Economics University. Languages: English (full professional), Ukrainian and Russian (native).

Contact

Book a 30-minute intro, email me, or find me on LinkedIn.