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SE Ranking
SE Ranking, an all-in-one SEO and digital marketing platform, is seeking a Senior Product Manager to own the quality of the data our customers trust every day and to evolve our Local Marketing suite — while laying the groundwork for in-app AI agents that help SEO professionals get their work done faster. Do you get excited about turning messy, large-scale data into something customers rely on, and about shaping how AI will do real SEO work alongside them? Then this role is for you.
Key Responsibilities
: You will report directly to Mike Korenugin and own two connected mandates: the quality of SEO data across all SE Ranking projects (Rankings, Competitors, Share of Voice, and more) and the Local Marketing product line (Local SERP tracking, Listings, Reviews, Audit, and Google Business Profile connection). Over time, you'll extend this ownership into AI agents that help customers plan and execute their SEO strategy directly inside the product. In your day-to-day work, you'll lead a squad built around the Aspen and Linden teams — 9 engineers in total, including 2 QA — with Yuli Varzar as your Engineering Manager and Aliaksei Harbouski as your Senior Designer to create solutions that feel effortless on top of complex data.
Your immediate focus is to embed SE Ranking's SEO and Local products into a shared platform , so you'll collaborate closely with Zaid Al-fayez and the Dark team on platform integration. You'll also partner with the Core team and Aleksander Germatsky , who leads it, on parsing technology — feeding them a clear, customer-grounded view of what "good" SEO data looks like and what our customers expect from it. Beyond your squad, you'll work with fellow Product Managers across SEO and SMM solutions, with Analytics and ML specialists to benchmark and improve data quality, and with Customer Success and Support to make transitions smooth and keep customer trust intact.
Initial Focus Areas: Embed SEO & Local into the shared platform: partner with the Dark team to integrate SE Ranking's SEO and Local Marketing products into a unified platform, define the first integration scenarios that bring the most value to customers, and prioritize the changes that unblock a smooth transition. Take ownership of SEO data quality: map how we source, process, and surface data across Rankings, Competitors, Share of Voice, and other project data; define what quality means from the customer's perspective; and establish benchmarks and a baseline you can hold the product to. Sharpen the Local Marketing suite: dig into Local SERP tracking, Listings, Reviews, Audit, and GBP connection to find the friction points that hurt customers most, and shape a roadmap that makes our local offering more accurate, complete, and useful.
Inform parsing technology with the voice of the customer: work with the Core team and Aleksander Germatsky to translate customer expectations into concrete inputs for parsing — closing the gap between what we collect and what customers actually need.
Responsibilities
: Run data quality as a system: evolve how we source inputs, validate them, and continuously benchmark our data against customer expectations and competitors. Define clear quality metrics, set up monitoring, and work hand-in-hand with ML specialists to raise accuracy and coverage over time. Build in-app AI agents for SEO: lead the move from data to action by introducing agents that help customers plan and execute their SEO strategy inside SE Ranking — turning hours of manual work into guided, faster workflows.
Make Local Marketing a standout: grow the Local suite into a best-in-class offering, expanding coverage and depth across Local SERP, Listings, Reviews, Audit, and GBP, and tightening how it plugs into the broader platform. Scale data-heavy UX: keep raising the bar on how complex, large-scale data is presented — so that customers can trust it, understand it, and act on it without friction.