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CoffeeSpace · New York City Metropolitan Area

Senior Software Engineer ($180K - $230K + Equity) AI-native Fund Management Infrastructure

Hybridseniorfull time$180,000 – $230,000 / yearVisa sponsorshipPosted today
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Stack mentioned

system-designpythondjangoaws

About the job

This role is being recruited by CoffeeSpace on behalf of an anonymous AI-native fund management infrastructure company.

We’re identifying a small number of exceptional senior software engineers from our network. If there’s a strong fit, we’ll introduce you directly to the team.

Location: New York City, NY / hybrid, with in-person presence 4 or 5 days per week

Compensation: $180K - $230K base + competitive equity

Employment type: Full-time

Visa: Visa sponsorship available, open to most forms except net new H1Bs

About the company

This company provides AI-native infrastructure for fund management, focusing on financial services and fintech industries. Founded in 2021, it has secured $76M in funding and is experiencing strong business momentum, having closed a $50M Series B round. The company is scaling rapidly and aims to grow to approximately 100 employees by the end of the year.

The team is responsible for developing complex systems that support private markets fund accounting, including a proprietary expression language, a capital allocations engine, and a configurable workflow system. These foundational primitives address intricate business challenges with technical rigor.

About the role

As a Senior Software Engineer on the Calculations & Allocations team, you will work on the core primitives that power the entire platform. This includes developing a custom expression language, orchestrating fund operations, and modeling financial mechanics. The role requires an entrepreneurial mindset and a passion for building foundational abstractions.

What You’ll Do

- Extend a financial expression language with new functions and optimize its execution

- Design and build workflow orchestration for fund operations across distributed systems

- Model intricate fund structures into configurable, auditable models

The Ideal Candidate

- 6-12 years of experience in building systems where correctness is critical, such as financial calculations or billing engines

- Strong skills in abstraction design and domain logic modeling

- Proficiency in Python, Django, and AWS

- Ability to translate complex financial requirements into clean data models

Why This Role Is Compelling

- Work on technically complex problems in the fund accounting domain

- Lead projects end-to-end with significant scope of ownership

- Join a company at a critical inflection point with strong business momentum

- Experience a collaborative engineering culture with a focus on knowledge transfer

Next steps

- 1. Apply via this LinkedIn job post

- 2. We’ll review and reach out if there’s a strong match

- 3. If aligned, we’ll introduce you directly to the team

- 4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission.

A quick note on authenticity

This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.

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