Wiser Solutions, Inc.

Product Designer

• Control the end-to-end design process for B2B pricing intelligence products and internal operations tools, from discovery to delivery
• Conduct user research with retail clients through interviews, usability testing, and workflow observation
• Collaborate with product managers, engineers to define product requirements
• Create wireframes, interactive prototypes, and high-fidelity UI designs for web applications
• Analyze product usage data, KPIs, and user feedback to iterate on existing features
• Develop and maintain scalable design systems, patterns, and component libraries

Senior Product Designer

Manager

• Manage clients’ campaigns from start to end
• Ensure actionable insights for campaign delivery
• Oversee making Snooper data talk for client learnings
• Work with growth, community management, and tech teams

Engagement Manager

Machine Learning Engineer

• Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership
• Represent Wiser's AI capabilities to customers, partners, and advisors—articulating our approach, roadmap, and differentiation
• Identify high-impact opportunities where AI can solve customer problems or create competitive advantage
• Establish technical standards, patterns, and best practices that influence engineering decisions across the organization
• Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models
• Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results
• Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability
• Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs
• Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer
• Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture
• Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling
• Champion AI-native development practices across Wiser engineering—demonstrating how AI tools accelerate development, improve code quality, and change what's possible

Principal Machine Learning Engineer

• Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership
• Represent Wiser's AI capabilities to customers, partners, and advisors—articulating our approach, roadmap, and differentiation
• Identify high-impact opportunities where AI can solve customer problems or create competitive advantage
• Establish technical standards, patterns, and best practices that influence engineering decisions across the organization
• Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models
• Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results
• Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques
• Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability
• Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs
• Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer
• Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture
• Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling
• Champion AI-native development practices across Wiser engineering—demonstrating how AI tools accelerate development, improve code quality, and change what's possible
• Help build an engineering culture where AI augmentation is the default, not the exception

• Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership
• Represent Wiser's AI capabilities to customers, partners, and advisors—articulating our approach, roadmap, and differentiation
• Identify high-impact opportunities where AI can solve customer problems or create competitive advantage
• Establish technical standards, patterns, and best practices that influence engineering decisions across the organization
• Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models
• Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results
• Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques
• Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability
• Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs
• Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer
• Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture

Senior Product Designer

Engagement Manager

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Staff Machine Learning Engineer