SENIOR FULL STACK ENGINEER

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