Principal Engineer

Newissueiq; New York (NY); On-site; USD 200,000 - 320,000; Full time

Benefits offered by this job

Meaningful equity grant

Direct partnership with founder

Job summary

New Issue IQ is seeking an experienced Principal Engineer in New York City to own the technical vision for how bonds and capital structures are represented and processed. You will lead AI-driven engineering efforts, manage production on AWS, and guide the data architecture across the platform.

You will collaborate with executive leadership to set the roadmap, interpret market data constructs, and ensure data correctness while delivering rapid merged changes.

Qualifications

• Experience owning technology at an executive level: roadmap, bets, and commitments.
• Deep understanding of fixed income or market-data technology.
• Data-correctness instincts and risk awareness.
• Strong TypeScript, Postgres, and .NET skills; Python is a plus.
• Ability to lead multiple AI agents with precise specifications.

Responsibilities

• Own the technology strategy and the architecture across the platform, the data pipeline, and the infrastructure
• Translate company goals into a technical roadmap, be accountable for delivery against it, and decide what the company is not building
• Run AI agents as your primary method of development: several in parallel, specifications precise enough to execute, and fast, skeptical review of what comes back
• Merge your own work within agreed risk tiers, because you understand what each change puts at risk: customer data, shared reference data, and the main branch staying green
• Protect data correctness: no look-ahead, every deal delivered exactly once, shared reference data never corrupted
• Own production: AWS, deploys, and alarms, so you know when something breaks
• Own the data operations system and the human-in-the-loop review that runs through it
• Grow the engineering capability and own its budget: today agents, tooling, and standards; over time, people
• Own security and resilience, and represent the technology in client and investor due diligence

Skills

TypeScript

Postgres

.NET

Python

Education

Bachelor's degree in CS, engineering, finance, or related field

Tools

AWS

Job description

Principal Engineer

LOCATION New York City · REPORTS TO CEO

OUR COMPANY

New Issue IQ unlocks opportunities in the $10 trillion credit market. Today, data in the credit market takes the form of PDFs, emails, and chatroom messages. Our custom AI models turn that fragmented information into clean, real-time reference data on every deal: the record every buy-side firm, bank, and technology platform needs to make informed investment decisions, meet compliance requirements, and spot opportunities faster than they otherwise could. Our clients are institutional: banks, asset managers, hedge funds, and the platforms that serve them.

Every deal we capture adds to a historical record of the credit market that is the foundation for everything we build on top of it.

We are AI-native and we run a software factory. Implementation is largely handed to an automated toolkit working against our coding standards, documentation, and validation logic, while the team makes the decisions and designs the system. We ship to production 10 to 20 times a day.

THE OPPORTUNITY

Own the technical vision.

You will own the vision for a system that interprets how bonds and capital structures are constructed, and understands what that construction means for the people trading them. You will set the path to building it and the pace we move at.

Model the market.

You will decide how issuers, their capital structures, and every instrument they bring to market are represented, so that our data matches how the market actually works. The rest of the system follows from those decisions. The difficulty here is not writing the software; it is knowing what to build.

Bring the judgment, and ship.

Agents execute work that has already been decided; they do not decide. Almost all of that judgment currently sits with the CEO, and that is what limits how fast we move. This is a hands-on executive seat: you will run several AI agents at once, merge your own work, and sustain a pace measured in meaningful merged changes per day, not per sprint. You are accountable to the CEO and the board for what gets delivered and when.

KEY RESPONSIBILITIES

• Own the technology strategy and the architecture across the platform, the data pipeline, and the infrastructure
• Translate company goals into a technical roadmap, be accountable for delivery against it, and decide what the company is not building
• Run AI agents as your primary method of development: several in parallel, specifications precise enough to execute, and fast, skeptical review of what comes back
• Merge your own work within agreed risk tiers, because you understand what each change puts at risk: customer data, shared reference data, and the main branch staying green
• Protect data correctness: no look-ahead, every deal delivered exactly once, shared reference data never corrupted
• Own production: AWS, deploys, and alarms, so you know when something breaks
• Own the data operations system and the human-in-the-loop review that runs through it
• Grow the engineering capability and own its budget: today agents, tooling, and standards; over time, people
• Own security and resilience, and represent the technology in client and investor due diligence

WHAT WE'RE LOOKING FOR

• AI as your normal way of working, with the skepticism to review what comes back quickly
• A career built in fixed income or market-data technology. You deeply understand how bonds and credit structures work, and you can decide what the data means, what to build, and what to drop
• Data-correctness instincts, and the seniority to merge your own work and be right about what each change risks
• Strong TypeScript and Postgres, with enough .NET to read and bridge. Python is a plus
• Experience owning technology at an executive level: the roadmap, the technical bets, and the commitments made to customers, and creating the leverage that lets us move rapidly with low headcount
• Passion for this problem space. You find the mechanics of credit markets genuinely interesting and want to spend years on them
• Bachelor's degree in computer science, engineering, finance, or a related field
• Nice to have: experience in primary markets or new issuance
• Nice to have: having built or licensed a commercial data product

BENEFITS

• Meaningful equity grant aligned with the role
• Direct partnership with the founder on the direction of the company