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Product Engineer

Recruiting From Scratch (RFS Group)
San Francisco, CA; New York, NY
On-siteUSD 150,000 - 300,000 / year

About this role

Product Engineer

Full time

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San Francisco, CA | New York, New York | Onsite

1 - 10 Years of Experience

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Title of Role: Product Engineer

Location: San Francisco, CA or New York, NY (On-site, 5 days/week) Company Stage of Funding: Series A ($50M raised; backed by Sequoia, Emergence, Stripe, Conviction, Basis Set) Office Type: On-site Salary: $150,000 – $300,000 Visa: Visa sponsorship and transfers available

Company Description

Our client is building AI-native data infrastructure for financial services.

Their platform transforms fragmented investment data — PDFs, emails, spreadsheets, committee notes, and proprietary research — into secure, searchable institutional intelligence for top investment firms.

The company is solving one of financial services’ hardest infrastructure challenges: enabling firms to operationalize decades of proprietary knowledge through secure AI systems.

Backed by $50M from Sequoia and leading investors, Rowspace is emerging as foundational infrastructure for AI-powered investment workflows.

The founding team includes leaders from Stripe and Notion, bringing world-class engineering and product DNA.

This is a rare opportunity to join one of the most ambitious AI infrastructure companies at an early stage.

What You Will Do

Build full-stack product features end-to-end

Design intuitive workflows for financial users

Build APIs powering integrations across external systems

Develop ingestion pipelines for unstructured financial data

Build secure knowledge systems for sensitive enterprise data

Work directly with customers to identify workflow pain points

Ship product improvements rapidly based on user feedback

Build reliable LLM-powered product workflows

Design evaluation systems for AI reliability

Build scalable backend services

Improve platform performance and system reliability

Help define product architecture from the ground up

Raise engineering quality across the organization

Ideal Candidate Background

2–8 years of software engineering experience

Strong full-stack product engineering experience

Production experience with React + TypeScript

Backend depth in Python or Node.js

Experience shipping customer-facing products

Strong product intuition

Experience building scalable APIs and data models

Fast execution velocity

Comfortable working directly with customers

Strong ownership mindset

Willing to work fully onsite in SF or NYC

Preferred

Experience at elite engineering startups

Applied AI / LLM production systems

Fintech / financial systems exposure

Data ingestion pipeline experience

Strong product design intuition

Early-stage startup experience

Security / privacy-sensitive systems

Evaluation systems for AI reliability

Top-tier CS education

Strong Signals

Stripe / Databricks / Applied Intuition pedigree

Early-stage startup engineering

Product ownership at high-growth companies

Built AI-powered product workflows

Fast shipping velocity

Customer-driven product iteration

Strong technical taste

Clear motivation for startup intensity

Compensation and Benefits

Base salary: $150,000 – $300,000 Visa sponsorship available Direct customer exposure Ground-floor engineering ownership Elite technical mentorship Massive upside potential Foundational platform ownership

Why Join

This is an opportunity to help define the future infrastructure layer for financial AI.

You’ll build products at the intersection of AI, data infrastructure, and financial systems while working alongside elite operators from Stripe and Notion.

If you’re a product-minded engineer who wants ownership, rapid iteration, and the chance to build foundational AI systems from first principles, this role offers exceptional upside.

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