Senior Product Engineer Full Stack (AI & Data Platforms)

A venture backed startup building a leading AI driven intelligence platform for investors is hiring Senior Full Stack Product Engineers. You will own customer facing features end to end from the underlying data pipelines and models to the product experience on top of them. This role is ideal for engineers who thrive in high velocity, product led startup environments and want to ship fast, measure impact, and iterate.

You ll join one of three product teams (Discovery, Flow, or Ecosystem) and work across a stack that includes TypeScript, React, Python, Go, PostgreSQL, Elasticsearch, dbt, Google Cloud Platform, Terraform, LangChain, LangGraph, Groq.

Key Responsibilities

Own customer facing features end to end, from backend data pipelines to frontend product experience.

Build scalable, performant, observable systems across the full stack.

Ship quickly, measure outcomes, and iterate based on customer impact.

Partner closely with Product, Design, and GTM teams with a customer first mindset.

Contribute to a high velocity engineering culture focused on quality, speed, and learning.

Continually improve product usability, reliability, and performance.

Hard Skills

5 8 years of full stack engineering experience building data heavy web applications.

Strong proficiency in Python, Go, GraphQL, React, TypeScript, with a lean of 70% backend / 30% frontend.

Experience designing and implementing data models, pipelines, and event driven services on relational databases (PostgreSQL preferred).

Demonstrated ownership of features from data layer to UI, with attention to performance, scalability, and observability.

Soft Skills

Highly customer centric and product centric thinking; asks strong product questions.

Ability to articulate the user problem, the target persona, and the value of the solution.

High energy, strong communication, and positive team presence.

Work Experience

Clear progression at high growth, top VC backed startups.

Experience building backend systems for data intensive products (e.g., Notion, Airtable, CRM like systems).

Education

CS or technical degree from a top 50 or reputable university.

Miscellaneous

Interest in the company s core product, AI research, and investor focused data platforms.

Ability to work onsite in NYC (Flatiron) three days per week.

Nice to Have Experience

Designing GraphQL APIs over large, complex data sources.

Building LLM or agentic features using LangChain, LangGraph, Groq, or similar frameworks.

Search infrastructure experience with Elasticsearch.

Data transformation using dbt.

Cloud infrastructure on Google Cloud Platform managed with Terraform.

Experience with knowledge graphs, entity resolution, or large scale web/document data extraction.

Background in fintech, venture capital, CRM, or investor facing data products.

Prior startup experience in a product led, high velocity engineering culture.

Traits to Avoid

Frequent job changes (multiple 1 year stints or contract heavy history).