market intelligence

system design

agentic software design

violetta
nekrasova

market & customer
intelligence/
product growth/
product design

lecture, c. 1951 (cited in AI risk
literature) "It seems proba

say hi
download cv

The Human Use of Human Beings, 1950   (Norbert Wiener) 
          "The machine's danger to society is not from the machine itself but from what man makes of it"
"The most important property of a program is whether it accomplishes the intention of its user"

      Cybernetics: or the Control and Communication in the Animal and the Machine, 1948
      "It is the thesis of this book that society can only be understood through a study of the messages and the communication facilities which belong to it; and that in the future development of these messages and communication facilities, messages between man and machines, between machines and man, and between machine and machine, are destined to play an ever-increasing part."

      The Human Use of Human Beings, 1950 "We are but whirlpools in a river of ever-flowing water. We are not stuff that abides, but patterns that perpetuate themselves."

      lecture, c. 1951 (cited in AI risk literature) "It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers… At some stage therefore we should have to expect the machines to take control."

       Violetta Nekrasova is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.
Her work spans over 14 years, leading complex programs across product, design, and strategy for global platforms.
       Violetta Nekrasova is a multidisciplinary product design and strategy leader foc.

       Violetta Nekrasova is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.
Her work spans over 14 years, leading complex programs across product, design, and strategy for global platforms.
       Violetta Nekrasova is a multidisciplinary product design and strategy leader foc.
       Violetta Nekrasova is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.

       Violetta Nekrasova is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.
Her work spans over 14 years, leading complex programs across product, design, and strategy for global platforms.
       Violetta Nekrasova is a multidisciplinary product design and strategy leader foc.

Violetta Nekrasova is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.
Her work spans over 14 years, leading complex programs across product, design, and strategy for global platforms.

About

We designing SaaS products that scale. Strategically. Seamlessly. From early research to pixel-perfect UI — we help SaaS companies turn complexity into clarity. We designing SaaS products that scale. Strategically. Seamlessly. From early research to pixel-perfect UI — we help SaaS companies turn complexity into clarity

Latest

Expertise

Market Intelligence & Product Strategy

Driving product expansion through rigorous competitor analysis and market research. Violetta identifies underserved market segments and defines product positioning that allows B2B platforms to capture new revenue streams

Product Discovery & Innovation

Transforming ambiguous business goals into validated roadmaps. She leads discovery initiatives to uncover deep customer pain points, ensuring the right solutions are prioritized before heavy engineering commitments are made.

Enterprise UX & Scalable Design Systems

Delivering consumer-grade elegance for enterprise-grade complexity. Violetta’s extensive background in visual design guarantees that even the most data-dense platforms benefit from premium, intuitive interfaces and scalable design architectures.

Product-Led Growth & Activation

Domain expertise

Fintech & Investment

Trend monitoring and signal platforms for retail and institutional investors.

Big Data & Analytics

Data Management Platforms (DMP), Data Aggregation Hubs, and Segmentation/Activation platforms.

Enterprise Productivity & HRTech

AI-powered recruitment software and organizational productivity platforms.

GovTech & Compliance

Secure agenda management and voting systems for local governments and committees.

Currently at

elevatus.io

2022-present

Jordan - Saudi Arabia

Head of Product Strategy and Design

elevatus.io is a fast growing startup, the ultimate hiring platform integrates proprietary AI for automated candidate analysis and variety of assessments, utilizing a modular, agentic architecture to automate the entire talent lifecycle for global enterprises. I lead product strategy and design across core systems, from ATS and candidate intelligence to sourcing, analytics, and multi-role operations.

My role is to turn complex hiring logic into clear product architecture, by shaping workflows, decision models, and shared product foundations that scale across teams, surfaces, and org use cases.

I align roadmap, research, and delivery around retention, expansion, and long-term platform coherence, prioritizing what moves the product forward.

I also govern the system behind the interface, structured discovery and scalable design systems.

hbi design

2022-present

Jordan - Saudi Arabia

Head of Product Strategy and Design

hbi is a product strategy and design consultancy working with startups and growth-stage companies building complex B2B products.

I work directly with founders to define product direction, define market opportunities, and turn early ideas into structured product paths.

The work spans product direction, system design, and modern product foundations, from decision frameworks and workflow architecture to up-to-date, ai-readable design context that support both engineering teams and ai-assisted execution.

Hire for

ai is only as good as the data it can actually see. High-end UI is not an aesthetic choice any mire, it’s a trust signal in enterprise software. This involves building semantic design systems that function as a single source of truth for both human designers and ai-generative UI.

I design context that make your AI reliable and the scalable systems that keep your product elegant, no matter how much data we’re pushing through it.

You can maintain aesthetic and accessibility intentionality while ensuring the system is technically robust enough to support rapid engineering velocity without accumulating visual debt.

Markets are shifting faster as ai changes how products are built, adopted, and evaluated. Assumptions expire quickly, and customer requests alone are no longer a reliable roadmap.

The system need a structured feedback loops that combine direct customer input, behavioral signals, market movement, and product vision, turning requests and signals into clear direction. Not every request should become a feature.

I help teams evaluate demand through the lens of long-term positioning, system coherence, and growth potential.

Modern tooling makes signals easier to collect, but harder to interpret. My role is to turn them into strategy, priorities, and decisions that move the product forward.

Outcome? Teams stop reacting to noise. Product direction becomes clearer, priorities more defensible, and growth decisions stay aligned with where the market is going.

Product design today must account for dynamic systems, adaptive interfaces, and ai-assisted workflows. Interfaces are no longer static surfaces, they coordinate decisions between people, automation, and data.

Design products that support this shift, structuring workflows that remain understandable even as automation increases. The focus is not just usability, but resilience: interfaces that evolve without breaking clarity or user trust.

New capabilities are introduced deliberately, replacing fragile manual processes with structured flows that scale.

So that teams modernize workflows without losing control. Products remain clear to users while supporting faster iteration and increasing automation.

I work directly with founders and leadership teams to evaluate current processes, identify structural bottlenecks, and define practical paths forward.

This often includes rethinking how decisions are made, how work flows across teams, and how new capabilities (including AI-assisted ones), integrate into existing systems.

The focus is not experimentation for its own sake, but controlled change that improves speed, clarity, and reliability.

Teams transition to the modern product delivery. If your product feels harder to move forward than it should, that’s usually a structural problem, not a people problem. Let’s look at it together.