| Location | San Francisco, New York (Remote) |
| Website | recruitingfromscratch.com |
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
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.
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
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
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
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
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
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.