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Multiplier

Agent harnesses for asset managers

3 open rolesSeed · $6M50+ peopleNew York City, USA

Last verified August 27, 2026 · Updated daily

What Multiplier is building

Multiplier sells an agent harness, not an agent. The distinction is the whole company. Rather than shipping a chatbot that reads filings, it deploys a substrate inside an asset manager's own infrastructure that unifies four things a fund normally keeps in four incompatible places: structured data (financials, price action, risk measures, trade history), unstructured data (channel checks, expert-call transcripts, sellside research), the firm's own accumulated judgment, and the agent work itself. The interface is closer to an IDE than a chat window: audit trails, guardrails, oversight, and a place for a human to correct an agent mid-task. The technical shape follows from where the customers sit. Everything runs on the client's own cloud with zero-data-retention inference endpoints and VMs on client servers, because a fund's proprietary process is the only asset it actually owns. Frontier models are swappable — Claude, OpenAI, Kimi — and customers can bring their own accounts. On top of that sits an ontology layer that labels and structures a firm's file sprawl so both agents and humans can find things, plus 50+ connectors into Bloomberg, FactSet, JP Morgan, Goldman Sachs, Microsoft and Databricks, with bespoke connectors built where the off-the-shelf ones are unreliable. The thesis Ian McInnis states plainly: "You still need domain specialization, but you also need firm specialization." A generic finance LLM knows how a DCF works. It does not know how your firm builds a business model, what your PM has already rejected twice, or which of your priorities changed last quarter. Multiplier is a bet that the second kind of knowledge is where the durable product is, and that it can only be captured by living inside the firm's systems rather than calling out to a vendor API. The target customer is deliberately narrow: independent equity funds running $250M–$5B. Big enough to have a real research process worth encoding, small enough that they will never staff an internal AI platform team.

Why this matters

The company was previously called WithAI, and the rename tells you the positioning shift. Multiplier is explicit that it is not building an artificial investor. The pitch is leverage on humans, and the evidence they lead with is a workflow inversion at Mercator Partners, whose CIO Scott Hobart says the fund went from spending "80% of our time gathering information and 20% acting on it" to the reverse. That is the honest version of the AI-in-finance claim: not better calls, more time to make them. The timing argument is about who is left out. Every large multi-manager already has an internal platform team building exactly this. Michael Siliciano at Verso Partners describes the alternative for everyone else: "We've attempted to build our own tools, but maintaining them became a full-time job." A $500M fund has the process sophistication to benefit and none of the engineering headcount to build it, and that gap is currently widening every quarter. The angel list is the real signal on whether the wedge is right. Greg Jensen and Karen Karniol-Tambour are both co-CIOs at Bridgewater — the firm that has been systematizing investment judgment longer and more seriously than anyone. When the people who spent decades encoding an investment process into machines write personal checks into a startup encoding investment processes into machines, that is an informed vote on the approach, not on the market.

Investors: Lux Capital (lead), Y Combinator, GoAhead Ventures, Rebel Fund, General Advance, Unpopular Ventures, Amino Capital, Angels: Greg Jensen (co-CIO, Bridgewater), Karen Karniol-Tambour (co-CIO, Bridgewater), Pete Briger (Chairman, Fortress Investment Group), Jasjeet Sekhon (Chief Strategy Officer, DeepMind), Sandeep Nailwal (CEO, Polygon), Kaz Nejatian (CEO, Opendoor)

Open roles at Multiplier

3 positions we're tracking. Roles are re-checked daily and removed when filled.

Software Engineer (full-time, NYC, US work authorization required)

New York City, USA·Mid-level

First seen today

Apply →

Forward-Deployed Engineer (inferred — deployments run inside client infrastructure)

New York City, USA·Mid-level

First seen today

Apply →

Infrastructure / Security Engineer (inferred — on-prem inference, zero data retention, audit trails)

New York City, USA·Mid-level

First seen today

Apply →
Live · tracking MultiplierLast checked August 27, 2026

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Watching Multiplier

0 applicants

Role spotted & verified

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You get the alert

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You've applied

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Hits the job boards

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Hiring outlook

The careers page is a single line and it is unambiguous: "Hiring fast, tasteful software engineers who like stocks." Full-time only, US work authorization required, NYC with possible travel. A team of three that just raised $6M and is live with six funds means every hire in the next two quarters is a founding-team hire.

Hiring intensity: 8/8

Working at Multiplier

Multiplier: Agent harnesses for asset managers. Founded , currently employees. At this stage, expect opportunity to shape your role based on the company stage.

Most Multiplier jobs are based in New York City, USA.

How to actually get hired at Multiplier

Why applying the normal way doesn't work

Multiplier uses an ATS, but referrals still come first. Cold applications aren't ignored — they're just behind referrals, sourced candidates, and recruiter picks.

Who to contact at Multiplier

Who decides:the hiring manager
Best channel:LinkedIn or direct email

What to show them

Take one of the 50+ integrations they name publicly — Bloomberg, FactSet, sellside research portals — and document, from real API docs, exactly where a naive connector breaks: rate limits, entitlement boundaries, symbology mismatches between vendors, restatement handling. Then write the connector contract you'd want to hand an agent so it never sees a half-loaded dataset. One page of hard specifics beats a demo.

A cold email that works at Multiplier

Subject: Software Engineer (full-time, NYC, US work authorization required), [your one-line proof]
Hi Ben, your site says you build custom connectors where the existing ones are unreliable, so I spent a weekend mapping where FactSet and Bloomberg symbology disagree on the same corporate actions and what that does to a restated quarterly series an agent is reading. Short writeup attached, including the three cases where an agent would confidently report a wrong YoY number and never know. I'd like to talk about what the forward-deployed side of Multiplier actually looks like across six funds.

What Multiplier screens for

Lux Capital leading a $6M seed into a three-person YC company that is already live with six hedge funds means the round was priced on deployment evidence, not a deck. The hiring window is the narrow one: three people, six live customers, and a stated intent to hire fast. Every engineer joining now writes the connector layer, the ontology, and the eval harness that the next thirty engineers inherit. The candidate edge is unusually legible here — you either have a real view on equities and can ship production infrastructure, or you do not, and there is no way to fake the first half in a cover letter.

Don't send a generic CV to Multiplier. Mirror the job posting's language to get past automated screening.

Don't make these mistakes

Do not pitch Ian on the power of LLMs for investing. He built LLM investment systems at Bridgewater before this and has heard every version of that sentence. Equally, do not send a generic "I love fintech" note: the careers page asks for engineers "who like stocks," which is a filter, and a candidate with no actual market opinion reads instantly. Also skip anything framed as building an autonomous trading agent — the company has publicly positioned itself against the artificial-investor framing, and pitching it back at them signals you did not read past the headline.

Mistakes that kill Multiplier applications

At people, a copy-paste CV is immediately obvious. It's an instant no.

Lead with their problem, not your ambition. Multiplier is focused on The company was previously called WithAI, and the rename tells you the positioning shift — show you understand that.

Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.

Live · tracking Multiplier

Applying to Multiplier? Get the contact, not the form.

The Multiplier interview process

4 stages · 14 days typical · take-home: yes · modelled from similar companies

We don't yet have verified candidate reports for Multiplier. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.

Interview stages

1

Recruiter Screen

Phone or video · 30 min

What it tests:

Basic qualification and logistics

Usually run by:

Recruiter or HR

2

Hiring Manager Interview

Video call · 45 min

What it tests:

Role fit and experience deep-dive

Usually run by:

Hiring manager

3

Technical/Functional Round

Video call · 60 min

What it tests:

Skills assessment and problem-solving

Usually run by:

Team members

4

Final Round

In-person or video · 60 min

What it tests:

Culture fit and cross-functional alignment

Usually run by:

Senior leadership

Multiplier take-home assignment

Multiplier includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.

Multiplier interview timeline

At days, Multiplier's process is about average than typical for AI (14 days at this size).

Interviewed at Multiplier?

Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Submit your Multiplier interview experience →

Multiplier jobs, frequently asked questions

How many jobs does Multiplier have open?

Multiplier currently has 3 open roles, last verified August 2026.

Does Multiplier hire remotely?

All current Multiplier roles are based in New York City, USA.

What roles is Multiplier hiring for?

Multiplier is hiring across Engineering. The most recent opening is Software Engineer (full-time, NYC, US work authorization required).

How do I apply for a job at Multiplier?

Apply directly through the links above, or read our guide on how to actually get hired at Multiplier.

Does Multiplier respond to cold emails?

We're still collecting cold email data for Multiplier.

Who is the hiring manager at Multiplier?

At this size, hiring is usually run by the hiring manager.

How competitive is it to get hired at Multiplier?

-person AI companies see ~100-250 applicants per role in two weeks. The 72-hour window is your advantage.

How many rounds is the Multiplier interview?

4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.

Is the Multiplier interview hard?

It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.

Does Multiplier give a take-home task?

Yes, Multiplier includes a take-home assignment.

How long does Multiplier take to get back to you?

Around 14 days across the full process.

What should I prepare for the Multiplier interview?

Study technical depth and system design. At this size (), they care about self-sufficiency over textbook knowledge.

Where is Multiplier based?

Multiplier is headquartered in New York City, USA.

Live · tracking MultiplierLast checked August 27, 2026

Get Multiplier roles before they're posted

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when Multiplier hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching Multiplier

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

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