Trampoline Tech

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

We are hiring for multiple clients

Ande is an AI-native, full-stack TypeScript platform built on React, Node.js, GraphQL, and Postgres, running on AWS and powering web, mobile, internal operations, deep integrations, and agentic workflows.

Our product sits at the intersection of enterprise workflows, hospitality operations, payments, compliance, procurement, and AI — giving engineers the opportunity to solve problems that combine polished user experiences with complex real-world systems.

Engineering at Ande is deeply product-oriented and systems-heavy. We care about:

• Type safety and shared abstractions
• Fast iteration and observable production systems
• High-quality user experiences
• Building durable foundations for a category-defining platform

PMs and engineers work closely with the business domain, contributing directly to:

• Booking experiences
• Client entertainment policies
• Venue operations
• Spend visibility and approvals
• Payments and procurement workflows
• Enterprise integrations
• AI-driven workflows that reduce manual coordination across enterprises and hospitality partners

Founders

• Lohit Sarma
• Ashish Bidadi
• Michael McDermott

Company Description Quantorus 365 powers Quant200, a market intelligence platform designed to help traders turn raw market data into informed decisions. The platform delivers signals, setups, rankings, and actionable insights in a unified, user-friendly experience. By combining advanced analytics with intuitive visualizations, Quantorus 365 supports faster, more confident trading decisions. Team members collaborate closely with product and data experts to build tools that directly impact trading performance. The organization values innovation, accuracy, and practical solutions that make complex data easier to understand and act on.