About Us

At Rox, we believe in empowering people to do their best work.

Our platform equips sellers with every tool they need so they can focus on developing the best, genuine relationships.

We are reimagining the revenue stack by building the world’s first agent swarm, powered by a unified system of record and system of workflow.

We are grateful to be building with the greatest revenue teams in the world. They include Ramp, MongoDB, OpenAI, and 25+ other exceptional teams.

Underlying all of this success is a unwavering, shared belief in the mission with an unreasonable commitment of doing whatever it takes to make it a reality.

The Team

Nothing is possible without the world-class team assembled to redefine how businesses operate.

Members on our team have

• Founded and exited successful companies

• Held the highest positions at Google, AWS, Confluent, and New Relic

• Won IMO and IOI gold medals

• Published field-defining papers

We’re backed by the best, having raising $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.

Your Role

As an interaction engineer at Rox, your responsibility is to craft the best experience for the world’s best revenue teams. We are pushing the frontier, and we want you to forge the future of interaction between sellers and agents. Revenue is the foundational building blocks of businesses, so you will be redefining how businesses operate.

As part of the product team, you will work directly with customers. You will understand their problems and quickly find innovative solutions to not only meet but exceed their expectations. You will have full ownership of the E2E development lifecycle for new agentic products, ensuring they are beautiful, performant, and scalable.

You will superimpose your intuition and taste with customer conversations to iterate quickly, developing products that our customers truly love.

Qualifications

• BS or MS in Computer Science or related field.

• Next.js, Tailwind, Figma, Python, Flask, AWS.

• Demonstrated full-stack engineering experience with direct engagement with customers.

• Deep curiosity with AI products, expressed through research, projects, etc.