Early Product Engineer - US

Coefficient is a VC-backed startup building the next generation of data software. The founders, Navneet & Tommy, are serial entrepreneurs whose last startup, Shopular, was backed by Y Combinator and Sequoia and acquired by Rakuten Ebates.

We started by turning spreadsheets into a live, connected layer on top of company data—bringing systems like Salesforce, HubSpot, and Snowflake directly into Google Sheets and Excel. Today, thousands of teams rely on Coefficient to access real-time data without IT.

Now, we’re taking the next step.

Coefficient is evolving into an agentic data intelligence platform — where AI doesn’t just retrieve data, but understands it, reasons about it, and takes action.

At the core is a shared data world model: a unified, continuously updated understanding of a company’s data, business logic, and context. This allows our autonomous agents to operate with far more context than traditional tools—unlocking a fundamentally new way to work with data.

Instead of dashboards and one-off queries, we’re building AI agents that:

• Develop context over time (memory + business rules)
• Explore data and surface insights proactively
• Execute workflows and make decisions
• Generate complete, high-quality outputs (reports, dashboards, spreadsheets, scripts)

All powered by the real-time, production-grade data pipelines we’ve already built.

• Take full ownership of problems—from idea to production
• Are relentlessly curious and think from first principles
• Move quickly, make decisions, and iterate without perfect specs
• Care deeply about product quality, UX, and craft
• Thrive in ambiguity and low-structure environments

• 2–4 years of experience building production web applications
• Proficiency in modern web stacks (e.g. TypeScript, React, Next.js, or similar)
• Experience with backend systems and APIs (e.g. Node, Python, Flask, or similar)
• Comfortable working with data-intensive applications and distributed systems
• Ability to pick up new technologies quickly and move across the stack as needed
• Solid understanding of performance, system design, and scalability
• Experience building and shipping production systems

We’re building toward a future where autonomous agents, powered by a shared data world model, can understand a business and execute work on its behalf. If you’re the kind of engineer who wants to build systems like that—and take real ownership in the process—you’ll do well here.