Senior Full Stack Engineer

TalentPluto, Inc.; New York (NY); On-site; USD 210,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

TalentPluto, Inc. is seeking a Senior Full Stack Engineer in New York City to work across frontend, backend, and data pipelines. The role is backend-leaning and product-focused, with TypeScript/React and Python in a modern stack (Postgres, Temporal).

You’ll move fast in a small, senior team and influence product direction while shipping features end-to-end. The position requires 5–7 years of full-stack experience, a product-minded approach, and comfort with AI tools.

Qualifications

• 5–7 years of full-stack engineering experience.
• Strong proficiency in TypeScript and React, with Python.
• Product-minded engineer who can shape product direction.
• Demonstrable use of AI tools in day-to-day workflow.
• Startup experience preferred; candidates from later-stage startups welcome if they can articulate why they want an early-stage environment.
• Able to work onsite in New York City five days per week.

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.

Skills

TypeScript

React

Python

AI tools usage

Product mindset

Startup experience

Onsite NYC

Full-stack engineering

Tools

Temporal

PostgreSQL

LangChain

AWS

Job description

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

Location: New York City

Work Model: Onsite, 5 days per week

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

Compensation: $210K base, ~$250-260K 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 (e.g., LangChain)