MY ROLE
As Product Manager:
- I managed the product lifecycle of both platforms and coordinated cross-functional work across Engineering, AI, UX/UI, Growth, and Marketing;
- I owned the SEO strategy for Matesub, performing extensive keyword analysis and creating optimized landing pages that significantly increased organic visibility;
- I analyzed competitors to map their pricing, features, and positioning, helping define the roadmap and identify product gaps;
- I redesigned the pricing model by evaluating internal costs, LTV, channel rate, elasticity tests, and user interviews;
- I created detailed product flows on Miro and collaborated with designers to improve the user experience on both platforms;
- I introduced new features to Matesub such as bulk subtitle shifting and custom video start offsets;
- I collaborated with AI engineers to integrate generative capabilities into Matedub, including rewriting, lengthening, and shortening dubbing segments;
- I supported the integration of synthetic voices and voice-cloning features within Matedub;
- I coordinated the migration from Elastic Transcoder to AWS and managed testing and communication across teams.
As Quality & Delivery Owner
- I tested new features and ensured stability across 150+ newly added languages;
- I conducted regression testing during backend migration and major feature releases;
- I monitored overall product quality to maintain a seamless user experience.
THE PROJECT
As Product Manager for both Matesub and Matedub, my role was to guide their strategic evolution, improve user experience, and expand their market positioning. Matesub, being a public SaaS product, required a strong acquisition strategy, a refined pricing structure, and new features that could serve both professional and casual users. Matedub, on the other hand, being an internal platform, focused on supporting internal dubbing pipelines and enabling high-quality AI-driven audio generation.
My first step was to perform an in-depth competitor analysis. I examined how similar products handled pricing, per-minute charges, subscription tiers, free limitations, and the overall user journey. This allowed me to understand where Matesub was positioned in the market and what was missing to make the platform more competitive. Based on this research, I redesigned the pricing structure by calculating internal generation costs, analyzing usage data, interviewing users, and studying perceived value. The result was a more sustainable and scalable pricing model, including annual plans and more flexible minute-based structures.
At the same time, one of the biggest challenges for Matesub was the lack of SEO. I carried out a large-scale keyword study, analyzing thousands of search combinations across subtitles, language pairs, and audiovisual workflows. Starting from this research, I created highly optimized landing pages covering categories such as “audio to text,” “subtitle generator,” “video to subtitles,” and pairs like “Somali to English subtitles.” This significantly expanded our organic reach and placed Matesub into SERP spaces where it previously had no visibility.
Parallel to this, I worked intensively on the product experience. For Matesub, I introduced new editor features such as the ability to shift subtitles in bulk, allowing users to select a specific range — by subtitle index (e.g., subtitles 1–5) or by time (e.g., minute 1–5) — and move them forward or backward by a chosen amount of seconds. I also added the option to set a custom starting offset for videos, enabling them to start from minute 1 instead of minute 0 when needed. These features significantly improved the precision and flexibility of the subtitling workflow.
For Matedub, I collaborated with AI engineers to integrate generative features that allowed users to lengthen, shorten, or completely rewrite dubbing lines. The platform also included both synthetic voices and voice cloning technology, enabling users to generate dubbed content in their own voice or recreate specific speaker styles. These capabilities empowered much richer and more dynamic audio outputs.
A major technical milestone was the backend migration from Elastic Transcoder to AWS, which required coordination between multiple teams, careful planning, and extensive testing to ensure a smooth transition.
Finally, I supported the delivery of custom features for enterprise clients by translating their requirements into product specifications and integrating them into the platform workflow.
THE RESULTS
- +200% organic traffic growth in four months due to the SEO strategy;
- +10k new users per month for Matesub;
- Increased conversion rate following the pricing redesign;
- Improved product retention through new features and UX enhancements;
- Reduced operational costs after the AWS migration;
- Expanded coverage with 150+ new languages;
- Empowered internal workflows through AI-driven dubbing features in Matedub.
PERSONAL KEY TAKEAWAY
- I built a complete SEO strategy for a public SaaS product and saw measurable growth within months;
- I redesigned the pricing through market research, internal data analysis, and user interviews;
- I coordinated a complex backend migration across engineering teams;
- I integrated generative AI into both subtitle and dubbing workflows;
- I improved the editing capabilities of Matesub with advanced features such as bulk subtitle shifting and custom offsets;
- I contributed to the development of AI-powered dubbing, including synthetic and cloned voices.
