Location: Remote (United States)

Work Model: Remote

Industry: B2B SaaS / AI-powered data and automation software

Compensation: $210K base, ~$250K-$260K total compensation including equity

About the Company

Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product.

The Opportunity

As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems.

You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building.

Responsibilities

• Build and ship features across the full stack, with an emphasis on backend systems
• Design and maintain data pipelines and data-movement workflows
• Contribute to agentic and AI-driven product capabilities
• Take customer feedback and help shape product direction, not just execute tickets
• Collaborate closely with a small, senior team in a fast-moving codebase

Requirements

• 5-7 years of full stack engineering experience (4+ considered on the lower end)
• Strong proficiency in TypeScript and React, with some Python
• Product-minded engineer who can form opinions and contribute to product direction
• Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them
• Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment
• Able to work onsite in New York City five days per week
• Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure