Violetta Nekrasova
is a multidisciplinary product design
and strategy leader
focused on building scalable SaaS systems.
Her work spans more than 14 years,
leading complex
programs across product, design,
and
strategy for global platforms.
So what should we actually build?
Systems that outlive the physical screens
they were drawn on.
A design system is a way of remembering.
We work in the layer
underneath
where names get chosen
where a token becomes a rule
and a rule becomes
a habit.
Should we be afraid
of the machine that draws?
I am wary of the machine
that agrees.
A model can produce
a thousand variants before
you finish your coffee
and not one of them knows
why the system exists.
Fred Brooks wrote that the programmer,
like the poet, works only slightly removed
from pure thought stuff.
So does the designer.
The thought is still the scarce material.
Everything downstream just got
cheap.
What is left for us?
Judgment, refusal and context.
Define technology as practice, the way things
are done around here.
Around here keeps changing.
A hiring system built for one
country becomes a quiet insult
in another.
Someone has to know that.
Someone has to have lived somewhere else and still remember it.
Models interpolate
people remember.
What should we keep asking back?
Whether the thing we are building can explain itself.
A system that scores a person
and cannot say why is not intelligent,
it is only confident.
We have modified our
environment so radically
that we must now
modify ourselves.
I would rather modify
the environment.
Everything here now has to be done twice.
Once by a machine,
once by someone
deciding it was worth keeping.
expertise
market intelligence & product direction
Driving product expansion through rigorous competitor analysis and market research. Across 20+ B2B projects, I help founders and teams make better product decisions by reading demand in context — turning customer input, market movement, and business goals into direction that supports long-term positioning rather than short-term backlog pressure.
product framing & decision architecture
Transforming ambiguous business goals into validated roadmaps. I lead discovery initiatives that uncover deep customer pain points, ensuring the right solutions are prioritized before heavy engineering commitments are made.
system/context/
product design
Designing products from the inside out. I build modern design foundations that do more than keep screens visually consistent — every system should support engineering speed, continuity across surfaces, and the level of structure increasingly needed for emergent product development.
direction
domains
currently at
elevatus.io
2022-present
Jordan - Saudi Arabia
Head of Product Strategy and Design
elevatus.io is a fast-growing startup whose hiring platform combines proprietary ai for automated candidate analysis and a broad range of assessments, with a modular, agentic architecture that automates 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 organizational 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
2021-present
Product partner, R&D
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, identify 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 supports both engineering teams and ai-assisted execution.