Engineering Manager - Frontend (UK)
Pigment
London · Onsite · Full Time
Posted
Job description
Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team - from Finance to HR - to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Uber, Anthropic, Snowflake or Siemens, use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 700+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo - all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you. You’ll join Pigment’s Reporting & Collaboration community , working as a senior hands-on Frontend Engineer on some of the most complex parts of the product. This community is responsible for how users access, configure and interact with their data. That creates significant frontend challenges around large-scale datasets, filtering, visualisation, complex configuration and increasingly AI-powered experiences. On the engineering part: Spend approximately 80% of your time as a hands-on engineer , designing, building and shipping production features. Work on complex, data-heavy frontend problems where performance, usability and scale all matter. Build sophisticated interfaces for displaying, filtering and interacting with large datasets. Work with React, TypeScript and JavaScript, while contributing to the wider technical decisions behind the product. Partner closely with Product Managers, Product Designers and Engineers to take features from problem definition through to production. Make pragmatic engineering decisions based on the needs of the product and its users, rather than pursuing technical complexity for its own sake. Contribute to areas across Reporting & Collaboration depending on business needs and your interests, including data extraction and filtering, visualisation, complex configuration and emerging AI experiences. Use modern e…