Kovo

Artificial Intelligence

• Own and evolve Kovo’s lifecycle marketing strategy across email, push notifications, and in-app messaging.
• Audit and optimize existing lifecycle programs, identifying opportunities to improve activation, engagement, retention, and long-term customer value.
• Design and scale event-driven lifecycle programs to support personalized, behavioral-triggered messaging.
• Build and maintain a modular email design system/library, leveraging AI tools to increase speed and quality.
• Partner with Product and Data to ensure lifecycle messaging is tightly integrated with product events and user behavior.
• Own conversion rate optimization: define the experimentation framework, prioritize and sequence tests across lifecycle messaging and web conversion flows, and document learnings.
• Explore and implement AI-powered workflows and proactive messaging agents to improve personalization, cross-sell, and product discovery. We believe AI fundamentally changes what a small lifecycle team can do - you'll have the mandate and resources to prove that out.
• Define lifecycle KPIs and continuously optimize for measurable performance improvements.

Lifecycle Marketing – First Hire, AI

Customer Support

• Build AI CX agents that process all incoming tickets
• Review AI agent performance and real customer interactions to ensure automation handles more cases efficiently while maintaining high quality and customer satisfaction
• Identify patterns across conversations and use them to improve agents, workflows, and self-serve experiences
• Build, refine, and actively manage AI-driven support logic
• Proactively expand automation into new areas to reduce manual work and increase system coverage
• Support customers on complex, sensitive, or edge-case issues that require manual investigation
• Handle escalations and high-stakes scenarios with care and ownership
• Follow issues through until there is a real resolution

Customer Experience – AI

Full-stack Engineer

• Own product areas end-to-end, shaping both the problems we tackle and how we solve them
• Often start from a blank slate, and iterate based on data
• Make pragmatic, data-driven tradeoffs between speed, quality, user experience, and scalability
• Develop and communicate product opinions backed by evidence
• Help establish patterns and norms for product-oriented engineering

Senior Product Engineer

Product Designer

• Own the full design process: from research and discovery through wireframes, prototypes, and polished UI
• Design intuitive, accessible, and visually compelling experiences that translate complex financial problems into clear user flows
• Evolve our design system to ensure consistency and scalability across the product
• Use data, user research, and experimentation to continuously validate and improve designs
• Apply AI to supercharge upfront research, competitive analysis, and rapid low-fidelity exploration of dozens of concepts
• Validate ideas faster through simulated user perspectives (e.g., walking through the product as different personas)
• Collaborate across teams with product, marketing, engineering, and customer experience to inform and iterate on designs

Product Designer, AI

Backend Engineer

• Own backend systems and infrastructure end-to-end, from design through deployment and scaling
• Build performant, reliable APIs and services that power our financial products
• Design and implement scalable architectures on AWS using Node (TypeScript)
• Make pragmatic tradeoffs between speed, reliability, scalability, and maintainability
• Ship production code frequently while maintaining high quality standards
• Help establish technical patterns and best practices for the engineering team
• Interface effectively with product engineers and other stakeholders

Lifecycle Marketing – First Hire, AI

Customer Experience – AI

Senior Product Engineer

Product Designer, AI

Senior Backend Engineer