Software Engineer: Infrastructure (Early Career)

3 нед. назад

150k–170k USD / yearUSAJuniorOnsite

full-stack

Engineer to architect, build, and scale the core infrastructure and systems powering an AI-driven CRM.

We’re looking for a creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering 's AI-driven CRM.
At , engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI and data systems. You’ll play a critical role in designing and building the data models and infrastructure that support a next-generation CRM, ensuring our system is performant, scalable, and resilient.

You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.
You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
Strong fundamentals in software engineering, with a degree in Computer Science or a related field.
Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment.
Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.
Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.

is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.
We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.
We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before , our team worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance.
Architect and scale the data infrastructure and backend services that power AI-driven CRM.
Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.
Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.