Senior AI UX Designer

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing Automation, Artificial Intelligence, SaaSIndustries

Requirements

Candidates must have at least 5 years of experience as a UX designer on agile product development teams, working from inception to launch on customer-facing features, with demonstrable experience in complex, technical product domains. Expertise in designing for AI products, conversational interfaces, or intelligent systems is required, with experience in chatbots, voice interfaces, or agentic AI systems strongly preferred. A portfolio showcasing AI/conversational work, representative of skills in solving complex interaction problems with intelligent systems, natural language interfaces, or automation, is essential. A strong understanding of current AI capabilities and limitations is necessary to design realistic and achievable user experiences, along with an ownership mindset for emerging technology.

Responsibilities

The Senior AI UX Designer will champion human-AI collaboration by understanding customer needs and advocating for human-centered AI design that amplifies user capabilities while maintaining control and trust. They will pioneer AI interaction design by building foundational design patterns for conversational interfaces, agentic workflows, and AI transparency, and define how users interact with intelligent systems. The role involves designing breakthrough AI experiences through leading AI-focused brainstorms, creating conversational flows, exploring multi-modal interactions, building AI prototypes, and crafting accessible interfaces. Responsibilities also include leading AI UX research and testing for conversational interfaces and agentic workflows, partnering cross-functionally with product managers and engineers to ensure UX considerations are integrated into AI development, and establishing AI design standards including conversation design principles, error handling, and transparency guidelines.

Skills

AI UX Design

Conversational Interfaces

Natural Language Interfaces

Human-AI Collaboration

Agentic Workflows

AI Transparency

Prototyping

UX Research

User Experience Design

Multi-modal Interactions

hive.co

Data-driven marketing platform for businesses

About hive.co

Hive.co is a marketing platform that helps businesses improve customer engagement by integrating data from various sources. It mainly targets e-commerce businesses, event organizers, and online enterprises that want to enhance their marketing strategies. The platform allows users to automate marketing campaigns and access real-time insights about their customers. Hive.co operates on a subscription model, where clients pay for different levels of service and the number of integrations they need. By connecting with platforms like Squarespace and Zapier, Hive.co enables businesses to create efficient marketing workflows. Its main features include automated deliverability, customer success tools, and real-time analytics, all designed to increase sales and customer interaction. Hive.co also prioritizes a positive work environment, focusing on employee well-being and professional development.

Waterloo, CanadaHeadquarters

2014Year Founded

$120KTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer Software, Consumer GoodsIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Flexible Work Hours

Remote Work Options

Unlimited Paid Time Off

Parental Leave

Risks

Increased competition from AI-driven marketing platforms like Klaviyo and Iterable.

Privacy concerns and regulatory changes may impact Hive's data collection practices.

Economic downturns could lead to reduced budgets for marketing platforms like Hive.

Differentiation

Hive integrates with platforms like Shopify, Mailchimp, and Facebook for seamless data sync.

The platform offers real-time insights and automated deliverability to boost customer engagement.

Hive's subscription model allows businesses to choose services based on their integration needs.

Upsides

Hive can leverage zero-party data collection to enhance data-driven marketing strategies.

AI-driven predictive analytics in email marketing can improve Hive's platform offerings.

Omnichannel marketing strategies align with Hive's strength in seamless integrations.

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