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Merciv

Agentic AI platform for enterprise insights

Senior Frontend Engineer

Frontend EngineeringUpdated on Nov 10
Full-timeNew York, NY, USA

About the Job

Requirements

  • Six to ten or more years of professional frontend development experience.
  • Four or more years building complex production web applications with modern JavaScript frameworks.
  • Two or more years using React in production environments.
  • Experience working in fast-paced startup or high-growth product environments.
  • A track record of owning significant frontend features end-to-end.
  • Expert-level knowledge of HTML5, CSS3, and modern JavaScript (ES6+).
  • Deep understanding of TypeScript and type-safe development practices.
  • Strong command of responsive design principles and cross-browser compatibility.
  • Expertise in web performance optimization techniques, including lazy loading, code splitting, and caching.
  • Advanced React proficiency, including hooks, context, and component lifecycle.
  • Experience with state management solutions such as Redux or Zustand.
  • Knowledge of React ecosystem tools such as React Router and React Query.
  • Understanding of React performance optimization and rendering patterns.
  • Strong expertise in modern CSS approaches such as CSS Modules, Styled Components, or Tailwind.
  • Proficiency with build tools and bundlers such as Vite or Webpack.
  • Experience with Git and collaborative development workflows.
  • Familiarity with CI/CD pipelines and automated testing frameworks.
  • Experience integrating RESTful APIs and GraphQL endpoints.
  • Understanding of asynchronous JavaScript and promise-based workflows.
  • Ability to handle complex data transformations and state management.
  • Experience with WebSocket or real-time data streaming.
  • Proficiency with testing frameworks such as Jest, React Testing Library, or Cypress.
  • Experience writing unit, integration, and end-to-end tests.
  • Understanding of test-driven development practices.
  • Strong debugging skills across browsers and devices.
  • Experience building interactive data visualizations with tools such as D3.js, Recharts, or Chart.js.
  • Ability to translate complex datasets into clear, compelling visual stories.
  • Understanding of visualization best practices and accessibility.
  • A track record of taking full ownership of features through successful production deployment.
  • Strong product sense and ability to balance technical constraints with user needs and business objectives.
  • Excellent written and verbal communication skills and comfort explaining technical concepts to non-technical stakeholders.
  • Attention to implementation detail, including pixel-perfect designs and edge-case handling.
  • Ability to balance immediate feature delivery with long-term architectural decisions.
  • Continuous learning and keeping current with frontend technologies and best practices.
  • Strong debugging and problem-solving skills, including working through ambiguous requirements.
  • Commitment to writing clean, maintainable, well-documented code.
  • Ability to meet accessibility (WCAG), security, and compliance requirements expected by Fortune 500 customers.

Responsibilities

  • Design and implement elegant, high-performance React components that make complex AI insights simple and actionable.
  • Own critical parts of the frontend architecture as the platform grows from hundreds to thousands of daily active users across Fortune 500 enterprises.
  • Partner with product managers, designers, and AI engineers to translate analytical outputs into intuitive visualizations and workflows.
  • Establish coding standards, conduct code reviews, and mentor team members on modern frontend best practices.
  • Ensure sub-second load times and smooth interactions while rendering complex data visualizations and real-time updates.
  • Work with UX/UI designers to implement pixel-perfect designs while advocating for usability and accessibility.
  • Take features from concept to production, including requirements gathering, technical design, implementation, testing, and deployment.
  • Build interfaces for users to interact with agentic AI systems, including natural language inputs, conversational flows, and transparent reasoning displays.
  • Write tests, debug across browsers and devices, and maintain high code quality for enterprise customers.
  • Contribute frontend expertise to product strategy discussions and inform what the team builds and how it builds it.
  • Transform millions of consumer signals into intuitive, interactive visualizations that reveal patterns and insights.
  • Build interfaces that make AI reasoning transparent and trustworthy, showing users how conclusions were reached.
  • Handle streaming updates and real-time data while maintaining smooth, responsive user experiences.
  • Balance information density with clarity for users needing comprehensive insights without cognitive overload.
  • Design for Fortune 500 executives needing high-level summaries and analysts requiring deep-dive capabilities.
  • Maintain fast load times and smooth interactions with complex datasets and visualizations.
  • Ship new features quickly while maintaining code quality and user experience consistency.

Desired Qualifications

  • Experience building data-intensive or analytics-focused applications.
  • Familiarity with AI/ML user interfaces or conversational UI patterns.
  • Background in design systems and component library development.
  • Experience with Next.js or other React meta-frameworks.
  • Knowledge of backend technologies such as Node.js or Python for full-stack collaboration.
  • Experience with Figma or other design tools for design-development collaboration.
  • Familiarity with accessibility best practices and ARIA standards.
  • Experience with micro-frontend architectures or module federation.
  • Understanding of WebGL or advanced graphics for data visualization.
  • Background in consumer research, market intelligence, or retail/CPG domains.
  • Experience with A/B testing frameworks and feature flag systems.
  • Knowledge of web analytics and user behavior tracking.
  • Experience scaling frontend applications from early-stage to enterprise.

About the Company

Merciv

Agentic AI platform for enterprise insights

Merciv builds EVA, an agentic AI-powered data analytics platform that unifies an organization's data with external sources to support strategic business decisions. EVA ingests data from internal silos and external signals, unifies it, and allows users to ask questions in plain language, receiving data-driven answers with visualizations. It enables collaborative workflows, automated, proactive insights, and scalable data extraction and connection across datasets. Enterprise-grade security includes privatized AI models and PII scrubbing. What sets Merciv apart is the combination of data unification across many sources with an agentic AI that works with human input, a focus on proactive insights, and strong security in an enterprise context, all while operating with selective partnerships during stealth development. The goal is to change how organizations use data by building AI pipelines and forecasting capabilities to drive informed, data-backed decisions.

Company size
11-50
Company stage
Early VC
Total funding
$14M
Headquarters
New York City, New York
Founded
2017

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