Software Engineer - Backend

Luminary is the AI-native system of action for wealth transfer services.

High net worth households controlling more than $90 trillion in assets are meaningfully underserved by technology that was built for the mass market. As private client investment and banking products have commoditized, these clients are looking for more tax and wealth transfer advice, advice that has previously been impossible to deliver at scale.

Luminary solves this problem by transforming complex estate planning and ownership documents into a structured, proprietary data asset that powers verticalized, agent-driven workflows for tax and wealth transfer services. Our built-in multi-firm collaboration connects a client's full advisor ecosystem, and is the core infrastructure that enables our customers to deliver a highly personalized, end-to-end wealth transfer service offering at scale.

Our 1,000+ customers are leaders across the private client services ecosystem: wealth managers from exclusive multi-family offices through top private banks and trust companies, national tax advisory practices, and law firms among the AM Law 100. Our focus and proprietary data position us to expand from a wedge in wealth transfer advice into large adjacent markets including trust administration and estate distribution.

Founded and led by CEO David Barnard, former Head of Wealth Management at AllianceBernstein, Luminary is backed by 8VC, Fin Capital, Rockefeller Capital, Focus Financial Partners, and several family offices.

• Every engineer ships to production multiple times a day. We make small, reviewable changes that go out through CI as soon as they're ready.

• Modern tooling. Meticulous, Amp, Honeycomb, Temporal, PostHog, Braintrust. We keep the team small and invest in tooling for leverage.

• Engineers own outcomes. You'll talk to customers and feel their wins and pain points, sit with our in-house subject matter experts, and help us build a great business.

• We support both remote and in-office preferences. We have an office in NYC near Bryant Park and a lively in-office culture, but if remote works better for you, you'll be in good company.
  

A family's estate plan structure rarely fits neatly into a schema. A trust may have been amended three times, an LLC might be held by two of the children through a different trust, and a beneficiary is often also a trustee. Provisions frequently depend on conditions that haven't happened yet.

Modeling that correctly is the first half of the job. The second is computing against it, which is where our tax engine comes in: estate and gift tax, generation-skipping transfers, strategies like GRATs and ILITs and QPRTs, and projections that ask what happens if a business grows sharply in value ten years from now and how that changes a family's charitable and family giving goals. As far as we know, it's the most complete implementation of the US transfer tax code in software anywhere.

You don't need to have worked on any of this before! None of us had. We're looking for someone who likes modeling complicated real-world systems accurately, and who wants to learn a deep domain from the JDs and CPAs on staff.

• Own the modeling engine. Transfer tax computation, waterfall and distribution modeling, and the consolidation work that brings our calculations under one engine.

• Model the domain flexibly and thoughtfully. Trusts and estates are complex and have a lot of moving parts. Data modeling is a really important part of this role.

• Make correctness checkable. You'll work with our JDs and CPAs to validate against how practitioners compute things. We regularly talk to various state attorneys general to dig into the nitty-gritty of how specific interactions work in their tax code.

• Support our agents. Extraction and agentic workflows are only as good as the data model they write into. We don't want agents doing any math, so we expose this deterministic layer (and the ability to do hypothetical modeling) via tools.

Four or more years of software engineering experience, at companies with strong engineering practices. Beyond that:

• You prefer domain complexity to infrastructure complexity. The hard part here is modeling an intricate real-world system correctly, not scaling a queue.

• Rigorous about correctness. You think in edge cases, and you're uncomfortable shipping logic you can't verify.

• Product-minded. You want to know why a calculation matters and who depends on it. You'll be shaping requirements, not receiving them.

• Day to day tools

  • Our backend is Go, Postgres, Temporal, and GraphQL

  • Our monitoring is mostly in Honeycomb, Braintrust, and PostHog

• You communicate well. With half the team remote, overcommunication is the name of the game!

• You'll be one of a small, senior team of engineers building a complex and high-value product. You'll get a lot of trust and responsibility early on.

• You'll work closely with our CEO, Head of Engineering, and Head of Product.

• You'll help build foundational product in a nascent category, with a lot of room to expand into large adjacent markets.

• You'll ship constantly and hear fast feedback from customers.

We earnestly believe that Luminary represents a one-of-a-kind opportunity to have massive impact at profitable scale, and to have a ton of fun along the way.

We believe firmly that happy, healthy employees do their best work. To that end, we offer:

• 👩🏻‍⚕️ 100% employee health insurance coverage (plus 50% dependent coverage)

• 🧘🏽‍♀️ Monthly wellness, commuter, and educational stipends

• 🏖️ 4 weeks PTO, plus holidays

• 🏢 NYC office near Bryant Park, for those who want it. Remote-friendly by default.

• 💰 401(k) plan

• 👶 Parental leave policy

• Base salary range of $170k–$225k, plus meaningful equity. Actual compensation depends on many factors, including relevant experience and skillset.

• At this time, Luminary is unable to sponsor employment visas or provide immigration support.