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Allie Kibireva

Conversational AI Designer
Allie Kibireva is a graphic designer with six years of experience in digital communication. She has led projects from initial brief through final delivery, creating original designs aligned with strategic objectives, creative direction, and industry standards. Her work spans brand design systems, landing pages, static and animated display ads, advertising assets, 2D and 3D illustrations, social media content, presentations, and email design, collaborating closely with creative and development teams to deliver clear, elegant, and focused messaging.
 

Laura Halacheva

Conversational AI Designer
Data science lead for Teva Pharmaceuticals.
Laura Halacheva is a data scientist with experience in data modeling, statistics, and machine learning, both theoretical and applied. She has wide experience with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce. At Ontotext, she led the data science of the R&D department. Her clients include MobiBiz, Canadian Heritage Information Network (CHIN), and more.
 

Peter Baran

Conversational AI Designer
Product Owner for WestJet Airlines.
Peter Baran is a data analytics expert focused on data-driven decision-making and user experience creation. With WestJet, he was the Product Owner and led the development and launch of a chat widget with strong foundations for the new integrations with API, CXM platform, mobile app, and contact centre telephony systems. He also developed a roadmap to fully leverage conversational AI to include personalization, channel expansions, and self-serve options. His skills include project management, JIRA, strategic vision, and data analysis.

Dwayne Mason

Conversational AI Designer
Seasoned professional with 4 years in AI-driven product design
Expert in crafting AI guidance, implementing digital enhancements, and fostering an immersive client experience. Proven track record in leading cross-functional teams and advancing conversational AI technology.

Tengwan Quek

Conversational AI Designer
Former senior product designer at Zendesk.
As a senior product designer, Tengwan Quek has worked on different products and mobile apps for the past decade. With in-depth knowledge of enterprise software and complex system design for SaaS products, she has experience designing for customer support, conversational UI/messaging, artificial intelligence platform, and casual mobile games. At Zendesk, Tengwan has designed Zendesk Message, a new product that enables businesses to provide customer support via social channels. She also has handled design projects ranging from UI/UX design, digital design to illustrations for various companies and agencies, including Grab, Singapore GovTech, and Basis AI.
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Frequently asked questions

Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.