Senior Frontend Developer at Enterpret

Bengaluru, Karnataka, India

Enterpret Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, SaaS, TechnologyIndustries

Requirements

  • A minimum of 6 years of experience building modern Web Applications using frameworks like React, Next.js, and GraphQL
  • Proficiency with React, TypeScript, Tailwind, Next.js, and GraphQL—or a strong foundation with similar technologies and a willingness to ramp up fast
  • Deep understanding of engineering best practices, frontend design principles, and system design fundamentals
  • Experience in network communication on web platforms, including synchronous and asynchronous service calls
  • Strong grasp of version control systems like Git and CI/CD pipelines
  • Familiarity with automated frontend testing frameworks and practices
  • Strong collaboration and communication skills—you work well in teams and thrive in a startup environment
  • Excellent organizational skills and an analytical mindset

Responsibilities

  • Work directly with the founding team and CTO to build, iterate, and own core product features in a fast-paced, zero-to-one environment
  • Drive architectural changes in the frontend—profile performance bottlenecks, improve UX, and build with a robust, scalable design system
  • Wear multiple hats—from building new UI components to debugging live issues—typical of an early-stage startup
  • Collaborate with cross-functional partners in design, backend, and data science to deliver high-impact user experiences
  • Implement frontend monitoring and automation to improve reliability and live site performance
  • Build accessible, inclusive interfaces that work for all users
  • Contribute to our frontend engineering culture and help establish best practices for development, testing, and deployment
  • Thrive in ambiguity and help bring clarity—startup life means problem statements evolve and you’re part of defining them

Skills

Frontend Engineering
UI Components
Design Systems
Performance Optimization
UX Improvement
Debugging
Frontend Monitoring
Automation
Accessibility
Testing
Deployment

Enterpret

Transforms customer feedback into actionable insights

About Enterpret

Enterpret specializes in turning customer feedback into actionable insights that help product companies grow. The platform uses adaptive AI models to unify and categorize feedback from various sources, allowing teams to gain precise insights that inform product development. It features a user-friendly interface with easy-to-build dashboards and automated summaries, making it accessible for non-technical users. A standout feature is its semantic search, which helps users understand the intent behind customer feedback. Enterpret's Custom Unified Feedback Taxonomy structures unstructured feedback and adapts over time, ensuring insights remain relevant. The company differentiates itself by providing dedicated data auditors and customer success managers to keep the platform effective. The goal is to empower product teams to prioritize and build products that truly resonate with their customers.

San Francisco, CaliforniaHeadquarters
2020Year Founded
$24.4MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Consumer Software, AI & Machine LearningIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Parental Leave

Risks

Increased competition from established players like Medallia and Qualtrics.
Dependence on key clients like Canva, Notion, and Monday.com poses a risk.
Challenges in scaling operations while maintaining service quality post-Series A funding.

Differentiation

Enterpret uses adaptive AI models for precise customer feedback insights.
The platform features a Custom Unified Feedback Taxonomy for structured feedback analysis.
Enterpret offers a user-friendly interface with semantic search for non-technical users.

Upsides

Enterpret raised $20.8M in Series A to scale operations and deploy no-code AI agents.
Integration with LLMs enhances semantic search capabilities for nuanced feedback understanding.
Partnerships with platforms like Census enable seamless data integration and analytics.

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